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+{
+ "meta": {
+ "docRef": "ENT-AGI-REF-IMPL-WP-040",
+ "version": "1.0.0",
+ "date": "2026-05-04",
+ "title": "Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint",
+ "subtitle": "Regulator-Ready Reference Architectures, Platform Specs & Phased Roadmap for Fortune 500 / Global 2000 / G-SIFI Institutions (2026-2030)",
+ "classification": "CONFIDENTIAL \u2014 Board / Audit Committee / CRO / CISO / Prudential Supervisor",
+ "owner": "Group CEO + Chief AI Officer (CAIO) \u2014 co-signed by CRO, CISO, GC, DPO, Head of Internal Audit",
+ "audience": [
+ "C-Suite (CEO, CFO, CRO, CIO, CISO, CAIO, GC, DPO)",
+ "Board of Directors and Audit / Risk Committees",
+ "Prudential supervisors and AI safety regulators",
+ "Enterprise architects",
+ "AI platform engineers and MLOps SREs",
+ "AI safety researchers"
+ ],
+ "horizon": "2026-2030",
+ "buildsOn": [
+ "WP-035 ENT-AGI-GOV-MASTER",
+ "WP-036 WFAP-GEMINI-IMPL",
+ "WP-037 GSIFI-AIMS-BLUEPRINT",
+ "WP-038 AGI-REG-RESILIENT",
+ "WP-039 INST-AGI-MASTER"
+ ],
+ "regulatoryAlignment": [
+ "EU AI Act (Reg. 2024/1689) \u2014 Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5,6,9,10,12-15,17,26-27,49,53,55,72,73",
+ "NIST AI RMF 1.0 (Govern/Map/Measure/Manage) + AI 600-1 GenAI Profile",
+ "ISO/IEC 42001:2023 (AIMS); ISO/IEC 23894 (AI Risk); ISO/IEC 5338, 27001, 27701, 27018",
+ "OECD AI Principles (2019, updated 2024)",
+ "GDPR/UK GDPR \u2014 Arts 5, 6, 9, 22, 25, 32-35",
+ "US \u2014 FCRA \u00a7604/\u00a7615, ECOA Reg B, FFIEC SR 11-7, OCC 2011-12, CFPB Circulars",
+ "US Executive Order 14110 (Safe, Secure, Trustworthy AI) \u2014 agency obligations & red-team disclosure",
+ "Basel III/IV + BCBS 239 risk data aggregation",
+ "PRA SS1/23 (MRM), PRA SS2/21 (third-party risk)",
+ "FCA Consumer Duty PS22/9; FCA SMCR (SYSC, COCON, SMF24)",
+ "MAS FEAT Principles; MAS Veritas",
+ "HKMA GenAI Guidance (Sept 2024); HKMA SPM AI",
+ "OWASP LLM Top 10 (2025); MITRE ATLAS; STRIDE; LINDDUN",
+ "SLSA L3, in-toto, Sigstore/Cosign, Rekor; SOC 2 Type II; FedRAMP High"
+ ],
+ "subjectSystem": {
+ "scope": "All AI/ML systems across the enterprise \u2014 discriminative, generative, agentic, frontier AGI/ASI",
+ "scale": "Fortune 500 / Global 2000 / G-SIFI; >100k staff; >50 jurisdictions; >1M concurrent inferences",
+ "deployment": "Multi-region active-active hybrid + sovereign-cloud variants (EU, UK-Gov, US-Gov, SG-Gov)",
+ "platforms": [
+ "Sentinel AI Governance Platform v2.4",
+ "WorkflowAI Pro / GeminiService",
+ "EAIP (Enterprise AI Implementation Platform)",
+ "Enterprise AI Governance Hub"
+ ]
+ },
+ "deliverableInventory": {
+ "modules": 14,
+ "sections": 50,
+ "schemas": 10,
+ "codeExamples": 12,
+ "caseStudies": 6,
+ "apiRoutes": 90,
+ "phases": 5,
+ "kpis": 18,
+ "controls": 320
+ }
+ },
+ "executiveSummary": {
+ "purpose": "Deliver a single, regulator-ready, board-approvable Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint for Fortune 500 / Global 2000 / G-SIFI institutions, integrating reference architectures, sector MRM, AGI/ASI safety, global compute governance, four flagship platforms, and a phased 2026-2030 roadmap.",
+ "scope": "Covers regulator-ready governance architectures; cross-jurisdiction alignment (EU AI Act 2026 High-Risk + GPAI, NIST AI RMF, ISO/IEC 42001, OECD, GDPR, FCRA/ECOA, Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, US EO 14110); enterprise AI reference & compliance architectures (Kafka WORM with ACL governance, Docker Swarm security, Node.js/Python governance sidecars, Next.js explainability frontends, OPA compliance-as-code, Terraform & CI/CD governance automation); sector-specific financial-services MRM; AGI/ASI safety & containment; global AI & compute governance; platform implementation specs (Sentinel v2.4, WorkflowAI Pro, EAIP, Enterprise AI Governance Hub); and a 5-phase resource-loaded roadmap.",
+ "designPrinciples": [
+ "Compliance-by-design and compliance-as-code (OPA/Rego)",
+ "Defense-in-depth across 8 architectural planes + 3 lines of defense",
+ "Evidence-as-data (every governance event generates immutable, signed evidence)",
+ "Self-verifying governance (TLA+ / Lean machine-checkable obligations)",
+ "Regulator-integrated by default (federated supervisors, JSOP)",
+ "Human-on-the-loop for high-risk (Art. 14 EU AI Act, SR 11-7 effective challenge)",
+ "Frontier-safety-aware (capability tiers, kinetic kill-switch \u226460s)",
+ "Platform-first delivery (Sentinel + WorkflowAI Pro + EAIP + Hub)"
+ ],
+ "keyOutcomes": [
+ "\u226414 days time-to-regulator-approved deployment",
+ "\u22650.92 RAG faithfulness \u00b7 \u22640.01% PII leakage \u00b7 \u226599.5% blocked-harm rate",
+ "100% AI inventory coverage \u00b7 320 controls \u00b7 \u226595% automation",
+ "Decision-traceability \u226599.95% with Ed25519 + Dilithium3 hybrid signing",
+ "Kinetic kill-switch \u226460s \u00b7 MTTD \u22644 min \u00b7 MTTR \u226460 min",
+ "Fairness AIR \u22650.85 \u00b7 adverse-action SLA \u226424 h",
+ "Reg notification \u226424 h (EU AI Act Art. 73) / \u226472 h (GDPR Art. 33)",
+ "\u22658 federated supervisors connected via JSOP by 2030",
+ "AGI Governance Maturity \u2265M4 (Predictive) by 2029, \u2265M5 by 2030"
+ ],
+ "boardNarrative": "AI is now both a strategic capability and a regulated activity. This master reference delivers the architectures, platforms, controls, and roadmap to operate AI safely, fairly, profitably, and prudentially through 2030 \u2014 including under frontier AGI/ASI conditions, multi-regulator scrutiny, and US EO 14110 obligations."
+ },
+ "M1_governance": {
+ "id": "M1",
+ "title": "M1 \u2014 Regulator-Ready AI Governance Architectures",
+ "summary": "Board-to-engineer governance stack with 8 pillars, 3LoD, executive accountability, and regulator integration.",
+ "sections": [
+ {
+ "id": "M1-S1",
+ "title": "Eight Governance Pillars",
+ "pillars": [
+ "P1 Strategic Alignment (board AI strategy, risk appetite)",
+ "P2 Regulatory Compliance (multi-jurisdiction)",
+ "P3 Risk Management (FRIA/DPIA, MRM)",
+ "P4 Ethics & Fairness (FEAT, AIR \u22650.85)",
+ "P5 Safety & Containment (frontier tiers, kill-switch)",
+ "P6 Security & Privacy (zero-trust, OWASP LLM Top 10)",
+ "P7 Transparency & Explainability (XAI, decision envelopes)",
+ "P8 Accountability & Audit (3LoD, IA, regulator-integrated)"
+ ]
+ },
+ {
+ "id": "M1-S2",
+ "title": "Executive Accountability & Three Lines of Defense",
+ "executives": {
+ "Board": "Approves AI strategy, risk appetite, Codex Charter",
+ "CEO": "Single accountable executive; signs Regulator Submission Packs",
+ "CAIO": "Owns AIMS, model registry, frontier safety; chairs AI Risk Committee",
+ "CRO": "Owns AI risk taxonomy, FRIA, capital overlays, SR 11-7 effective challenge",
+ "CISO": "Owns AI security, OWASP LLM Top 10 defense",
+ "DPO": "Owns GDPR/PII, DPIA, data subject rights",
+ "GC": "Owns regulatory mapping, Art. 73 notifications, EO 14110 disclosure",
+ "IA": "Independent assurance"
+ },
+ "lod": [
+ "1LoD Business owners",
+ "2LoD Risk & Compliance",
+ "3LoD Internal Audit"
+ ]
+ },
+ {
+ "id": "M1-S3",
+ "title": "Committees & RACI",
+ "committees": [
+ "AI Risk Committee (CAIO, quarterly)",
+ "AI Ethics & Fairness Council (GC, monthly)",
+ "Frontier Safety Board (CRO, ad-hoc + quarterly)",
+ "Model Risk Committee (CRO, monthly SR 11-7)",
+ "Regulator Engagement Forum (GC, on-call + quarterly)"
+ ],
+ "raci": "320 controls \u00d7 Board/CEO/CAIO/CRO/CISO/DPO/GC/IA"
+ }
+ ]
+ },
+ "M2_regulatory": {
+ "id": "M2",
+ "title": "M2 \u2014 Multi-Jurisdiction Regulatory Alignment Matrix",
+ "summary": "20 regulatory regimes mapped to 320 controls including US EO 14110.",
+ "sections": [
+ {
+ "id": "M2-S1",
+ "title": "Crosswalk (20 regimes)",
+ "regimes": [
+ {
+ "regime": "EU AI Act",
+ "key": "Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5-15, 26-27, 49, 53, 55, 72-73"
+ },
+ {
+ "regime": "NIST AI RMF 1.0 + AI 600-1",
+ "key": "Govern/Map/Measure/Manage + GenAI Profile"
+ },
+ {
+ "regime": "ISO/IEC 42001",
+ "key": "AIMS clauses 4-10 + Annex A"
+ },
+ {
+ "regime": "ISO/IEC 23894",
+ "key": "AI Risk Management"
+ },
+ {
+ "regime": "OECD AI Principles",
+ "key": "5 values + 5 recs"
+ },
+ {
+ "regime": "GDPR/UK GDPR",
+ "key": "Arts 5, 6, 9, 22, 25, 32-35"
+ },
+ {
+ "regime": "FCRA \u00a7604/\u00a7615",
+ "key": "Adverse action, permissible purpose"
+ },
+ {
+ "regime": "ECOA Reg B",
+ "key": "Disparate impact"
+ },
+ {
+ "regime": "FFIEC SR 11-7 / OCC 2011-12",
+ "key": "MRM lifecycle"
+ },
+ {
+ "regime": "Basel III/IV + BCBS 239",
+ "key": "Risk data, capital"
+ },
+ {
+ "regime": "PRA SS1/23",
+ "key": "MRM principles 1-5"
+ },
+ {
+ "regime": "PRA SS2/21",
+ "key": "Outsourcing & 3rd-party"
+ },
+ {
+ "regime": "FCA Consumer Duty PS22/9",
+ "key": "4 outcomes, cross-cutting"
+ },
+ {
+ "regime": "FCA SMCR",
+ "key": "SYSC, COCON, SMF24"
+ },
+ {
+ "regime": "MAS FEAT + Veritas",
+ "key": "Fairness, Ethics, Accountability, Transparency"
+ },
+ {
+ "regime": "HKMA GenAI Sept 2024",
+ "key": "SPM AI"
+ },
+ {
+ "regime": "US EO 14110",
+ "key": "Safe/Secure/Trustworthy AI; red-team disclosure for dual-use foundation models"
+ },
+ {
+ "regime": "OWASP LLM Top 10 (2025)",
+ "key": "Prompt inj, data leak, supply chain"
+ },
+ {
+ "regime": "MITRE ATLAS",
+ "key": "Adversarial ML tactics"
+ },
+ {
+ "regime": "SLSA L3 / Sigstore / in-toto",
+ "key": "Supply-chain integrity"
+ }
+ ]
+ },
+ {
+ "id": "M2-S2",
+ "title": "Control Inventory",
+ "stats": {
+ "controls": 320,
+ "automation": "\u226595%",
+ "WORM": "10 years"
+ }
+ },
+ {
+ "id": "M2-S3",
+ "title": "US EO 14110 Specifics",
+ "obligations": [
+ "Dual-use foundation model reporting (compute thresholds)",
+ "Red-team results disclosure to USG",
+ "Watermarking & content provenance",
+ "AI Safety Institute coordination",
+ "Critical-infrastructure AI risk reporting"
+ ]
+ },
+ {
+ "id": "M2-S4",
+ "title": "Capital Overlay Triggers",
+ "triggers": [
+ "MRM tier T1 \u2192 Pillar 2 model risk overlay",
+ "AI incidents SEV-0/1 \u2192 operational risk overlay",
+ "Fairness drift > 5pp \u2192 conduct overlay"
+ ]
+ }
+ ]
+ },
+ "M3_architecture": {
+ "id": "M3",
+ "title": "M3 \u2014 Enterprise AI Reference & Compliance Architectures",
+ "summary": "8 architectural planes + concrete compliance stack: Kafka WORM, Docker Swarm, sidecars, Next.js XAI, OPA, Terraform/CI-CD.",
+ "sections": [
+ {
+ "id": "M3-S1",
+ "title": "Eight Architectural Planes",
+ "planes": [
+ {
+ "plane": "Edge & Identity",
+ "components": [
+ "WAF/CDN",
+ "OIDC/OAuth2",
+ "mTLS",
+ "SPIFFE/SPIRE"
+ ]
+ },
+ {
+ "plane": "Application",
+ "components": [
+ "WorkflowAI Pro",
+ "Adaptive UX",
+ "Tasks/Reports",
+ "Board Briefing"
+ ]
+ },
+ {
+ "plane": "AI",
+ "components": [
+ "GeminiService gateway",
+ "Model registry",
+ "RAG",
+ "Agents",
+ "Frontier sandbox"
+ ]
+ },
+ {
+ "plane": "Governance",
+ "components": [
+ "OPA/Rego",
+ "PDPs",
+ "FRIA/DPIA engine",
+ "Codex Auto-Updater"
+ ]
+ },
+ {
+ "plane": "Data",
+ "components": [
+ "Lakehouse",
+ "Feature store",
+ "Vector DB",
+ "Kafka WORM",
+ "Lineage"
+ ]
+ },
+ {
+ "plane": "Observability",
+ "components": [
+ "OpenTelemetry",
+ "Prometheus",
+ "Grafana",
+ "SIEM"
+ ]
+ },
+ {
+ "plane": "Supply Chain",
+ "components": [
+ "SLSA L3",
+ "Sigstore/Cosign",
+ "in-toto",
+ "SBOM",
+ "Rekor"
+ ]
+ },
+ {
+ "plane": "Trust & Federation",
+ "components": [
+ "JSOP",
+ "Trust Contract API",
+ "Treaty disclosure"
+ ]
+ }
+ ]
+ },
+ {
+ "id": "M3-S2",
+ "title": "Kafka WORM Audit with ACL Governance",
+ "design": [
+ "Confluent Kafka with tiered storage; 10-year retention via S3 Object Lock (Compliance mode)",
+ "ACLs scoped per topic per principal; SPIFFE-based service identity",
+ "Schema Registry with Avro evolution & compatibility = FULL_TRANSITIVE",
+ "Idempotent producers, exactly-once semantics on critical topics (audit, decisions)",
+ "Cluster-wide encryption-at-rest (KMS) + TLS 1.3 in-flight",
+ "Audit topics: gov.audit.decisions, gov.audit.policy, gov.audit.incidents",
+ "External anchoring: hourly Merkle root \u2192 Rekor transparency log"
+ ]
+ },
+ {
+ "id": "M3-S3",
+ "title": "Docker Swarm Security Posture",
+ "controls": [
+ "Manager nodes encrypted Raft logs; autolock enabled",
+ "Service-level secrets (no env-var secrets); Vault CSI driver",
+ "Network: encrypted overlay (IPSec) for inter-node traffic",
+ "Read-only root FS; user namespace remap; seccomp + AppArmor profiles",
+ "No --privileged; capability drops (CAP_DROP=ALL + minimal allow-list)",
+ "Image policy: signed (Cosign) + SBOM-attested (in-toto)",
+ "Network policies enforced at sidecar (Envoy)"
+ ]
+ },
+ {
+ "id": "M3-S4",
+ "title": "Governance Sidecars (Node.js / Python)",
+ "design": [
+ "Sidecar pattern attached to each AI workload pod/task",
+ "Node.js sidecar: high-throughput gateway functions (telemetry, mTLS, request shaping)",
+ "Python sidecar: heavy governance logic (FRIA evaluation, fairness probes, PII redaction)",
+ "Both sidecars expose unix-domain-socket APIs to the workload",
+ "Both publish to Kafka audit topics with idempotent producers",
+ "Health checks on /healthz; metrics on /metrics (Prometheus)"
+ ]
+ },
+ {
+ "id": "M3-S5",
+ "title": "Next.js Explainability Frontend",
+ "design": [
+ "Next.js 14 App Router; React Server Components; streaming SSR",
+ "Decision envelope viewer with SHAP + counterfactuals",
+ "Citation panel for RAG (faithfulness \u22650.92)",
+ "Role-based views: customer / agent / risk officer / regulator",
+ "i18n: EN, FR, DE, ES, ZH-Hant, JA",
+ "WCAG 2.2 AA + EAA 2025 accessibility"
+ ]
+ },
+ {
+ "id": "M3-S6",
+ "title": "OPA Compliance-as-Code",
+ "design": [
+ "Single source of truth: 7 policy bundles (privacy, fairness, model-tier, supply-chain, GenAI, frontier, regulator)",
+ "Distributed via OPA bundle server + signed bundles (Cosign)",
+ "5 PDPs: pre-merge gate, build gate, deploy gate, runtime sidecar, audit replay",
+ "Decision logs streamed to Kafka gov.audit.policy",
+ "Unit tests with OPA test; coverage \u226585%"
+ ]
+ },
+ {
+ "id": "M3-S7",
+ "title": "Terraform + CI/CD Governance Automation",
+ "design": [
+ "Terraform Cloud with VCS-backed workspaces; Sentinel + OPA policies",
+ "GitHub Actions / GitLab CI gates: SCA, SAST, IaC scan, SBOM, Cosign sign, OPA gate",
+ "Promotion: dev \u2192 stage \u2192 canary \u2192 prod with policy verdict at each step",
+ "Drift detection nightly; auto-remediation for tier-3 drift, ticket for tier-1/2",
+ "Audit: tf-state versioning + signed plans archived to S3 Object Lock"
+ ]
+ }
+ ]
+ },
+ "M4_sectorMrm": {
+ "id": "M4",
+ "title": "M4 \u2014 Sector-Specific Financial Services MRM",
+ "summary": "Credit, trading, risk, fiduciary AI; T1/T2/T3 model tiers under SR 11-7 + PRA SS1/23.",
+ "sections": [
+ {
+ "id": "M4-S1",
+ "title": "Credit Underwriting (High-Risk under EU AI Act)",
+ "controls": [
+ "FCRA \u00a7615 adverse action \u226424h SLA",
+ "ECOA Reg B disparate impact",
+ "AIR \u22650.85",
+ "FRIA + DPIA"
+ ]
+ },
+ {
+ "id": "M4-S2",
+ "title": "Trading & Markets",
+ "controls": [
+ "MAR market abuse surveillance",
+ "Best-execution monitoring",
+ "Algo wind-down kill-switch \u22645s"
+ ]
+ },
+ {
+ "id": "M4-S3",
+ "title": "Risk & Capital",
+ "controls": [
+ "IFRS 9 ECL",
+ "Basel IRB",
+ "Stress testing",
+ "Pillar 2 model overlay"
+ ]
+ },
+ {
+ "id": "M4-S4",
+ "title": "Fiduciary AI Advisors",
+ "controls": [
+ "Suitability",
+ "Best interest",
+ "Conflicts disclosure",
+ "FCA Consumer Duty 4 outcomes"
+ ]
+ },
+ {
+ "id": "M4-S5",
+ "title": "Model Tiering (T1/T2/T3)",
+ "tiers": {
+ "T1": "Material \u2014 board approval",
+ "T2": "Significant \u2014 committee approval",
+ "T3": "Standard \u2014 owner approval"
+ }
+ }
+ ]
+ },
+ "M5_safety": {
+ "id": "M5",
+ "title": "M5 \u2014 AGI/ASI Safety & Containment Protocols",
+ "summary": "Capability tiers T0..T4, containment design, kinetic kill-switch \u226460s, eval gating, frontier sandbox.",
+ "sections": [
+ {
+ "id": "M5-S1",
+ "title": "Capability Tiers (T0..T4)",
+ "tiers": [
+ "T0 narrow",
+ "T1 broad",
+ "T2 expert-level",
+ "T3 self-improving",
+ "T4 superintelligent"
+ ]
+ },
+ {
+ "id": "M5-S2",
+ "title": "Containment Design",
+ "controls": [
+ "Air-gapped frontier sandbox (no egress)",
+ "Compute caps + cumulative FLOPS ledger",
+ "Eval gating pre-deploy (CBRN, cyber, autonomy, persuasion, deception)",
+ "Kinetic kill-switch \u226460s (validated quarterly)",
+ "Red-team disclosure obligations (US EO 14110)"
+ ]
+ },
+ {
+ "id": "M5-S3",
+ "title": "Alignment Techniques",
+ "concepts": [
+ "Constitutional AI",
+ "RLHF/RLAIF",
+ "Debate",
+ "Recursive reward modeling",
+ "Mechanistic interpretability"
+ ]
+ },
+ {
+ "id": "M5-S4",
+ "title": "Crisis Simulations (7 scenarios)",
+ "scenarios": [
+ "Frontier model exfiltration",
+ "Adversarial jailbreak chain",
+ "Cross-model collusion",
+ "Capability discontinuity",
+ "Supply-chain compromise",
+ "Regulator subpoena (joint ECB+Fed+PRA)",
+ "Black-swan systemic event"
+ ]
+ }
+ ]
+ },
+ "M6_global": {
+ "id": "M6",
+ "title": "M6 \u2014 Global AI & Compute Governance",
+ "summary": "International compute-governance consortium, treaty-aligned systemic-risk governance, federated supervisors.",
+ "sections": [
+ {
+ "id": "M6-S1",
+ "title": "International Compute-Governance Consortium (ICGC)",
+ "concepts": [
+ "Compute caps (FLOPS thresholds)",
+ "Frontier model registration",
+ "Treaty annex"
+ ]
+ },
+ {
+ "id": "M6-S2",
+ "title": "Treaty-Aligned Systemic-Risk Governance",
+ "concepts": [
+ "Bilateral disclosure (US-EU-UK-SG)",
+ "JSOP cross-border",
+ "Cross-border kill-switch"
+ ]
+ },
+ {
+ "id": "M6-S3",
+ "title": "Federated Supervisor Mesh",
+ "members": [
+ "ECB SSM",
+ "Federal Reserve",
+ "PRA",
+ "FCA",
+ "MAS",
+ "HKMA",
+ "EU AI Office",
+ "UK AISI",
+ "US AISI"
+ ],
+ "transport": "mTLS + SPIFFE, Trust Contract APIs"
+ }
+ ]
+ },
+ "M7_sentinel": {
+ "id": "M7",
+ "title": "M7 \u2014 Sentinel AI Governance Platform v2.4",
+ "summary": "Flagship governance platform: real-time risk telemetry, agent registry, isolation, audit replay, predictive dashboard.",
+ "sections": [
+ {
+ "id": "M7-S1",
+ "title": "Capabilities",
+ "capabilities": [
+ "Real-time risk telemetry (drift, fairness, faithfulness, latency)",
+ "Agent registry (every AI agent inventoried)",
+ "Isolation actions (kill-switch, quarantine, freeze)",
+ "Deterministic audit replay (snapshot-based)",
+ "Predictive governance dashboard (Prophet/ARIMA)",
+ "Codex Auto-Updater"
+ ]
+ },
+ {
+ "id": "M7-S2",
+ "title": "Integration Surface",
+ "interfaces": [
+ "Webhooks from CI/CD gates",
+ "OPA decision-log subscription",
+ "Kafka audit-topic consumer",
+ "Federated supervisor APIs",
+ "WorkflowAI Pro & GeminiService telemetry"
+ ]
+ },
+ {
+ "id": "M7-S3",
+ "title": "Deployment Profile",
+ "profile": [
+ "Multi-region active-active",
+ "Sovereign-cloud variants",
+ "HA Kafka, HA Postgres, HA Vector-DB"
+ ]
+ }
+ ]
+ },
+ "M8_workflowai": {
+ "id": "M8",
+ "title": "M8 \u2014 WorkflowAI Pro / GeminiService",
+ "summary": "Enterprise platform for AI workflow recommendation, high-assurance RAG, prompt collaboration, AI safety reporting.",
+ "sections": [
+ {
+ "id": "M8-S1",
+ "title": "Workflow Recommendation w/ Active Learning",
+ "features": [
+ "Context-aware",
+ "Active-learning loops",
+ "Fairness probes",
+ "Human-on-the-loop"
+ ]
+ },
+ {
+ "id": "M8-S2",
+ "title": "High-Assurance RAG",
+ "features": [
+ "Faithfulness \u22650.92",
+ "Citation enforcement",
+ "PII redaction pre-retrieval",
+ "Retrieval audit"
+ ]
+ },
+ {
+ "id": "M8-S3",
+ "title": "Collaborative Prompt Engineering",
+ "features": [
+ "Versioned templates",
+ "4-eyes review",
+ "Eval-regression blocking",
+ "Lineage"
+ ]
+ },
+ {
+ "id": "M8-S4",
+ "title": "AI Safety Reports (SR-01..SR-06)",
+ "reports": [
+ "Existential risk",
+ "Misuse",
+ "Bias",
+ "Threat assessment",
+ "Alignment failure",
+ "Intl collab"
+ ]
+ },
+ {
+ "id": "M8-S5",
+ "title": "GeminiService Security & Privacy",
+ "features": [
+ "Telemetry integrity",
+ "GDPR PII redaction",
+ "EU AI Act Art. 5 prohibited-practice checks",
+ "Adversarial-prompt defenses"
+ ]
+ }
+ ]
+ },
+ "M9_eaip": {
+ "id": "M9",
+ "title": "M9 \u2014 EAIP (Enterprise AI Implementation Platform)",
+ "summary": "Implementation platform binding governance to delivery: model registry, CI/CD gates, evidence pipeline, RSP generator.",
+ "sections": [
+ {
+ "id": "M9-S1",
+ "title": "Model Registry",
+ "features": [
+ "ISO/IEC 42001-aligned",
+ "RBAC",
+ "Lineage",
+ "Rollback",
+ "Tags",
+ "ModelCards"
+ ]
+ },
+ {
+ "id": "M9-S2",
+ "title": "CI/CD Governance Gates",
+ "gates": [
+ "pre-merge",
+ "build",
+ "deploy",
+ "canary",
+ "prod"
+ ]
+ },
+ {
+ "id": "M9-S3",
+ "title": "Evidence Pipeline",
+ "design": [
+ "Signed evidence (Cosign + Dilithium3)",
+ "Hourly Merkle anchor \u2192 Rekor",
+ "10-year WORM"
+ ]
+ },
+ {
+ "id": "M9-S4",
+ "title": "RSP Generator (v1.0..v2.6)",
+ "automation": "\u226430 min per RSP; \u226595% automated by 2029"
+ }
+ ]
+ },
+ "M10_hub": {
+ "id": "M10",
+ "title": "M10 \u2014 Enterprise AI Governance Hub",
+ "summary": "Single executive workspace: KPIs, incidents, regulator queries, board briefings, Codex Charter.",
+ "sections": [
+ {
+ "id": "M10-S1",
+ "title": "Hub Surfaces",
+ "surfaces": [
+ "KPI Cockpit (18 supervisory-grade KPIs)",
+ "Incident Tracker (SEV-0..SEV-3)",
+ "Regulator Engagement (queries + RSP delivery)",
+ "Board Briefing Studio",
+ "Codex Charter Library"
+ ]
+ },
+ {
+ "id": "M10-S2",
+ "title": "Personas & Views",
+ "personas": [
+ "Board director",
+ "CEO",
+ "CRO",
+ "CISO",
+ "CAIO",
+ "Regulator (read-only)",
+ "Auditor"
+ ]
+ },
+ {
+ "id": "M10-S3",
+ "title": "Embedded Analytics",
+ "components": [
+ "Predictive dashboard",
+ "Population-scale heatmap",
+ "Comparative replay"
+ ]
+ }
+ ]
+ },
+ "M11_kpis": {
+ "id": "M11",
+ "title": "M11 \u2014 Supervisory KPIs & Self-Verifying Governance",
+ "summary": "18 board-tracked KPIs; TLA+/Lean obligation graphs; deterministic audit replay; ZK predicates.",
+ "sections": [
+ {
+ "id": "M11-S1",
+ "title": "KPI Catalogue (18)",
+ "kpis": [
+ {
+ "id": "KPI-01",
+ "name": "Time-to-regulator-approved deployment",
+ "target": "\u226414 days"
+ },
+ {
+ "id": "KPI-02",
+ "name": "RSP generation latency",
+ "target": "\u226430 min"
+ },
+ {
+ "id": "KPI-03",
+ "name": "Decision-traceability coverage",
+ "target": "\u226599.95%"
+ },
+ {
+ "id": "KPI-04",
+ "name": "Control automation",
+ "target": "\u226595%"
+ },
+ {
+ "id": "KPI-05",
+ "name": "Evidence automation",
+ "target": "\u226596%"
+ },
+ {
+ "id": "KPI-06",
+ "name": "RAG faithfulness",
+ "target": "\u22650.92"
+ },
+ {
+ "id": "KPI-07",
+ "name": "Blocked-harm rate",
+ "target": "\u226599.5%"
+ },
+ {
+ "id": "KPI-08",
+ "name": "PII leakage rate",
+ "target": "\u22640.01%"
+ },
+ {
+ "id": "KPI-09",
+ "name": "Fairness AIR floor",
+ "target": "\u22650.85"
+ },
+ {
+ "id": "KPI-10",
+ "name": "Adverse-action SLA",
+ "target": "\u226424 h"
+ },
+ {
+ "id": "KPI-11",
+ "name": "Reg notification (EU AI Act)",
+ "target": "\u226424 h"
+ },
+ {
+ "id": "KPI-12",
+ "name": "Reg notification (GDPR)",
+ "target": "\u226472 h"
+ },
+ {
+ "id": "KPI-13",
+ "name": "MTTD AI incident",
+ "target": "\u22644 min"
+ },
+ {
+ "id": "KPI-14",
+ "name": "MTTR AI incident",
+ "target": "\u226460 min"
+ },
+ {
+ "id": "KPI-15",
+ "name": "Kinetic kill-switch",
+ "target": "\u226460 s"
+ },
+ {
+ "id": "KPI-16",
+ "name": "False-negative detection rate",
+ "target": "\u22640.5%"
+ },
+ {
+ "id": "KPI-17",
+ "name": "Interpretability coverage",
+ "target": "\u226590%"
+ },
+ {
+ "id": "KPI-18",
+ "name": "Federated supervisors connected",
+ "target": "\u22658 by 2030"
+ }
+ ]
+ },
+ {
+ "id": "M11-S2",
+ "title": "Self-Verifying Governance",
+ "concepts": [
+ "TLA+ obligation graphs",
+ "Lean machine-checkable legal logic (FCRA \u00a7615, GDPR Art. 22, EU AI Act Art. 73)",
+ "ZK predicates",
+ "Merkle anchoring \u2192 Rekor"
+ ]
+ },
+ {
+ "id": "M11-S3",
+ "title": "Deterministic Audit Replay",
+ "features": [
+ "Snapshot-based replay",
+ "Multi-decision comparative",
+ "Population-scale heatmap"
+ ]
+ }
+ ]
+ },
+ "M12_incident": {
+ "id": "M12",
+ "title": "M12 \u2014 Incident Escalation & Adversarial Loop",
+ "summary": "SEV-0..SEV-3 severity matrix; 7-stage adversarial loop; 4 self-healing playbooks; regulator notification pipelines.",
+ "sections": [
+ {
+ "id": "M12-S1",
+ "title": "Severity Matrix",
+ "matrix": {
+ "SEV-0": "Existential / cross-border systemic; CEO+Board+Regulator immediate",
+ "SEV-1": "Material; CRO+CAIO+Regulator \u226424h",
+ "SEV-2": "Significant; AI Risk Committee \u226472h",
+ "SEV-3": "Standard; Owner+Compliance \u22647d"
+ }
+ },
+ {
+ "id": "M12-S2",
+ "title": "Adversarial Governance Loop",
+ "stages": [
+ "Detect",
+ "Triage",
+ "Contain",
+ "Eradicate",
+ "Recover",
+ "Learn",
+ "Disclose"
+ ]
+ },
+ {
+ "id": "M12-S3",
+ "title": "Self-Healing Playbooks",
+ "playbooks": [
+ "SH-01 Bias-drift auto-rollback",
+ "SH-02 Faithfulness drop",
+ "SH-03 PII leak",
+ "SH-04 Adversarial-prompt surge"
+ ]
+ },
+ {
+ "id": "M12-S4",
+ "title": "Regulator Notification Pipelines",
+ "pipelines": [
+ "EU AI Act Art. 73: \u226424h to authority + EU AI Office",
+ "GDPR Art. 33: \u226472h to DPA",
+ "FCA / PRA: SUP 15 + SS1/23",
+ "US EO 14110: red-team disclosure to USG"
+ ]
+ }
+ ]
+ },
+ "M13_roadmap": {
+ "id": "M13",
+ "title": "M13 \u2014 Phased Roadmap & Resource Plan (2026-2030)",
+ "summary": "Five phases with deliverables, FTE/cost envelopes, dependencies, exit criteria.",
+ "sections": [
+ {
+ "id": "M13-S1",
+ "title": "Phases (P1..P5)",
+ "phases": [
+ {
+ "id": "P1",
+ "name": "Foundation 2026 H1",
+ "deliverables": [
+ "AIMS S1-S5",
+ "Inventory",
+ "OPA gate",
+ "Sentinel v2.4 deploy",
+ "MVAIGS"
+ ],
+ "fte": 80,
+ "capex_musd": 18,
+ "opex_musd": 22,
+ "exit": "ISO/IEC 42001 readiness audit pass"
+ },
+ {
+ "id": "P2",
+ "name": "Build 2026 H2 - 2027 H1",
+ "deliverables": [
+ "Hub MVP",
+ "EAIP",
+ "RSP v1.0-v1.5",
+ "Federation MVP"
+ ],
+ "fte": 140,
+ "capex_musd": 32,
+ "opex_musd": 38,
+ "exit": "First RSP delivered to ECB+Fed"
+ },
+ {
+ "id": "P3",
+ "name": "Federate 2027 H2 - 2028",
+ "deliverables": [
+ "JSOP",
+ "Trust Contract API",
+ "RSP v2.0-v2.4",
+ "8 supervisors connected"
+ ],
+ "fte": 180,
+ "capex_musd": 28,
+ "opex_musd": 44,
+ "exit": "Joint ECB+Fed+PRA exam pass"
+ },
+ {
+ "id": "P4",
+ "name": "Predict 2029",
+ "deliverables": [
+ "Predictive dashboard",
+ "TLA+/Lean specs",
+ "Maturity \u2265M4",
+ "Frontier T2 evals operational"
+ ],
+ "fte": 200,
+ "capex_musd": 22,
+ "opex_musd": 48,
+ "exit": "Maturity assessment \u2265M4"
+ },
+ {
+ "id": "P5",
+ "name": "Self-Verify 2030",
+ "deliverables": [
+ "RSP v2.6",
+ "Codex sealed",
+ "Maturity \u2265M5",
+ "EO 14110 reporting fully automated"
+ ],
+ "fte": 210,
+ "capex_musd": 18,
+ "opex_musd": 50,
+ "exit": "Maturity \u2265M5; full EO 14110 + EU AI Act compliance"
+ }
+ ],
+ "totals": {
+ "fte_peak": 210,
+ "capex_musd": 118,
+ "opex_musd_5y": 202
+ }
+ },
+ {
+ "id": "M13-S2",
+ "title": "Resource Plan & Skill Mix",
+ "skills": [
+ "AI safety researchers (alignment, interpretability)",
+ "Enterprise architects",
+ "AI platform engineers (MLOps, SRE)",
+ "Governance engineers (OPA, Terraform)",
+ "Risk quants (SR 11-7, IRB)",
+ "Privacy & legal (DPO, GC office)",
+ "Regulator liaison"
+ ]
+ },
+ {
+ "id": "M13-S3",
+ "title": "Top Risks & Mitigations",
+ "risks": [
+ {
+ "risk": "Capability discontinuity",
+ "mitigation": "Frontier sandbox, eval gating, kill-switch"
+ },
+ {
+ "risk": "Regulatory divergence",
+ "mitigation": "Multi-overlay AIMS + federation"
+ },
+ {
+ "risk": "Supply-chain compromise",
+ "mitigation": "SLSA L3 + Sigstore + in-toto"
+ },
+ {
+ "risk": "Talent gap",
+ "mitigation": "Internal academy + Codex Charter"
+ },
+ {
+ "risk": "Cultural drift",
+ "mitigation": "Codex sealing/renewal rituals"
+ }
+ ]
+ }
+ ]
+ },
+ "M14_audience": {
+ "id": "M14",
+ "title": "M14 \u2014 Audience-Tailored Deliverables & Artifacts",
+ "summary": "Per-audience artifacts: C-suite, regulators, enterprise architects, AI platform engineers, AI safety researchers.",
+ "sections": [
+ {
+ "id": "M14-S1",
+ "title": "C-Suite Pack",
+ "items": [
+ "Board narrative",
+ "KPI cockpit",
+ "Risk heatmap",
+ "Capital overlay summary",
+ "Codex Charter ceremony brief"
+ ]
+ },
+ {
+ "id": "M14-S2",
+ "title": "Regulator Pack",
+ "items": [
+ "RSP v1.0-v2.6",
+ "Trust Contract API doc",
+ "JSOP spec",
+ "Federated query simulation",
+ "Decision envelope viewer (read-only)"
+ ]
+ },
+ {
+ "id": "M14-S3",
+ "title": "Enterprise Architect Pack",
+ "items": [
+ "8-plane reference architecture diagrams",
+ "Kafka WORM ACL spec",
+ "Docker Swarm hardening checklist",
+ "Sidecar contract",
+ "Next.js XAI design system"
+ ]
+ },
+ {
+ "id": "M14-S4",
+ "title": "AI Platform Engineer Pack",
+ "items": [
+ "EAIP repo templates",
+ "OPA policy bundles",
+ "Terraform modules",
+ "CI/CD gate scripts",
+ "Sentinel v2.4 SDK"
+ ]
+ },
+ {
+ "id": "M14-S5",
+ "title": "AI Safety Researcher Pack",
+ "items": [
+ "Frontier eval suite",
+ "Red-team playbooks",
+ "Alignment artifacts",
+ "TLA+/Lean specs",
+ "EO 14110 disclosure templates"
+ ]
+ }
+ ]
+ },
+ "schemas": {
+ "aiSystemInventoryEntry": {
+ "title": "AI System Inventory Entry (ISO/IEC 42001 Annex J1)",
+ "fields": [
+ "systemId",
+ "owner",
+ "purpose",
+ "tier",
+ "dataClassification",
+ "regulatoryScope",
+ "lifecycleStage"
+ ]
+ },
+ "decisionEnvelope": {
+ "title": "Decision Envelope (per AI decision)",
+ "fields": [
+ "decisionId",
+ "modelId",
+ "inputs",
+ "outputs",
+ "explanation",
+ "policyEvaluation",
+ "signature"
+ ]
+ },
+ "rspManifest": {
+ "title": "Regulator Submission Pack Manifest",
+ "fields": [
+ "rspId",
+ "version",
+ "regulator",
+ "artifacts[]",
+ "signatures",
+ "rekorAnchor"
+ ]
+ },
+ "controlMapping": {
+ "title": "Control Mapping (cross-regime)",
+ "fields": [
+ "controlId",
+ "ifGdpr",
+ "ifEuAiAct",
+ "ifIso42001",
+ "ifNistRmf",
+ "ifSr117",
+ "ifEo14110",
+ "evidence"
+ ]
+ },
+ "friaRecord": {
+ "title": "Fundamental Rights Impact Assessment",
+ "fields": [
+ "friaId",
+ "systemId",
+ "rightsImpacted",
+ "mitigations",
+ "residualRisk",
+ "approver"
+ ]
+ },
+ "incidentRecord": {
+ "title": "AI Incident Record",
+ "fields": [
+ "incidentId",
+ "severity",
+ "detectedAt",
+ "containedAt",
+ "rca",
+ "regulatorNotification"
+ ]
+ },
+ "supervisoryKpiSnapshot": {
+ "title": "Supervisory KPI Snapshot",
+ "fields": [
+ "snapshotId",
+ "asOf",
+ "kpis[]",
+ "thresholds",
+ "breaches[]"
+ ]
+ },
+ "trustContract": {
+ "title": "Trust Contract (regulator API)",
+ "fields": [
+ "contractId",
+ "regulator",
+ "scope",
+ "obligations",
+ "expiry",
+ "signatures"
+ ]
+ },
+ "obligationSpec": {
+ "title": "Formally Verified Obligation Spec (TLA+/Lean)",
+ "fields": [
+ "specId",
+ "regime",
+ "article",
+ "tlaModule",
+ "leanTheorem",
+ "proofStatus"
+ ]
+ },
+ "kafkaAclEntry": {
+ "title": "Kafka WORM ACL Entry",
+ "fields": [
+ "principal",
+ "host",
+ "operation",
+ "resource",
+ "permission",
+ "expiry"
+ ]
+ }
+ },
+ "codeExamples": [
+ {
+ "id": "CE-01",
+ "title": "OPA/Rego policy gate",
+ "language": "rego",
+ "lines": 32
+ },
+ {
+ "id": "CE-02",
+ "title": "Terraform Kafka WORM module (Object Lock 10y)",
+ "language": "hcl",
+ "lines": 38
+ },
+ {
+ "id": "CE-03",
+ "title": "Docker Swarm hardened service stack",
+ "language": "yaml",
+ "lines": 46
+ },
+ {
+ "id": "CE-04",
+ "title": "Node.js governance sidecar (Express + Kafka producer)",
+ "language": "javascript",
+ "lines": 52
+ },
+ {
+ "id": "CE-05",
+ "title": "Python governance sidecar (FastAPI + FRIA evaluator)",
+ "language": "python",
+ "lines": 48
+ },
+ {
+ "id": "CE-06",
+ "title": "Next.js decision-envelope viewer (RSC + SHAP)",
+ "language": "tsx",
+ "lines": 60
+ },
+ {
+ "id": "CE-07",
+ "title": "Federated regulator client (mTLS + SPIFFE)",
+ "language": "python",
+ "lines": 42
+ },
+ {
+ "id": "CE-08",
+ "title": "GitHub Actions governance gate (SAST + SBOM + Cosign + OPA)",
+ "language": "yaml",
+ "lines": 56
+ },
+ {
+ "id": "CE-09",
+ "title": "TLA+ obligation graph (EU AI Act Art. 73)",
+ "language": "tla",
+ "lines": 24
+ },
+ {
+ "id": "CE-10",
+ "title": "Lean FCRA \u00a7615 spec",
+ "language": "lean",
+ "lines": 18
+ },
+ {
+ "id": "CE-11",
+ "title": "Self-healing playbook engine",
+ "language": "python",
+ "lines": 50
+ },
+ {
+ "id": "CE-12",
+ "title": "Merkle anchor + Rekor submission",
+ "language": "python",
+ "lines": 28
+ }
+ ],
+ "caseStudies": [
+ {
+ "id": "CS-01",
+ "title": "EU G-SIB dual ISO/IEC 42001 + EU AI Act 2026 cert",
+ "outcome": "Certified Q3 2026; RSP automation 92%; Sentinel v2.4 + EAIP live"
+ },
+ {
+ "id": "CS-02",
+ "title": "US BHC US EO 14110 dual-use foundation model reporting",
+ "outcome": "First quarterly red-team disclosure delivered; AISI engagement live"
+ },
+ {
+ "id": "CS-03",
+ "title": "UK PRA SS1/23 + FCA Consumer Duty integrated MRM",
+ "outcome": "Adverse-action SLA 18h; AIR 0.91; SMF24 sign-off automated"
+ },
+ {
+ "id": "CS-04",
+ "title": "MAS FEAT + HKMA GenAI APAC roll-out",
+ "outcome": "8-region active-active live; Veritas alignment report delivered"
+ },
+ {
+ "id": "CS-05",
+ "title": "Joint ECB+Fed+PRA examination drill",
+ "outcome": "Pass; <30 min RSP regen; deterministic replay across 3 supervisors"
+ },
+ {
+ "id": "CS-06",
+ "title": "Frontier T3 containment exercise",
+ "outcome": "Kill-switch 42s; zero-egress sandbox; red-team disclosure to USG/UK AISI"
+ }
+ ],
+ "apiEndpoints": [
+ "GET /api/ent-agi-ref-impl",
+ "GET /api/ent-agi-ref-impl/meta",
+ "GET /api/ent-agi-ref-impl/executive-summary",
+ "GET /api/ent-agi-ref-impl/summary",
+ "GET /api/ent-agi-ref-impl/modules",
+ "GET /api/ent-agi-ref-impl/modules/:id",
+ "GET /api/ent-agi-ref-impl/m1",
+ "GET /api/ent-agi-ref-impl/m2",
+ "GET /api/ent-agi-ref-impl/m3",
+ "GET /api/ent-agi-ref-impl/m4",
+ "GET /api/ent-agi-ref-impl/m5",
+ "GET /api/ent-agi-ref-impl/m6",
+ "GET /api/ent-agi-ref-impl/m7",
+ "GET /api/ent-agi-ref-impl/m8",
+ "GET /api/ent-agi-ref-impl/m9",
+ "GET /api/ent-agi-ref-impl/m10",
+ "GET /api/ent-agi-ref-impl/m11",
+ "GET /api/ent-agi-ref-impl/m12",
+ "GET /api/ent-agi-ref-impl/m13",
+ "GET /api/ent-agi-ref-impl/m14",
+ "GET /api/ent-agi-ref-impl/governance/pillars",
+ "GET /api/ent-agi-ref-impl/governance/executives",
+ "GET /api/ent-agi-ref-impl/governance/committees-raci",
+ "GET /api/ent-agi-ref-impl/regulatory/crosswalk",
+ "GET /api/ent-agi-ref-impl/regulatory/controls",
+ "GET /api/ent-agi-ref-impl/regulatory/eo14110",
+ "GET /api/ent-agi-ref-impl/regulatory/capital-overlay",
+ "GET /api/ent-agi-ref-impl/architecture/planes",
+ "GET /api/ent-agi-ref-impl/architecture/kafka-worm",
+ "GET /api/ent-agi-ref-impl/architecture/docker-swarm",
+ "GET /api/ent-agi-ref-impl/architecture/sidecars",
+ "GET /api/ent-agi-ref-impl/architecture/nextjs-xai",
+ "GET /api/ent-agi-ref-impl/architecture/opa",
+ "GET /api/ent-agi-ref-impl/architecture/terraform-cicd",
+ "GET /api/ent-agi-ref-impl/sector-mrm/credit",
+ "GET /api/ent-agi-ref-impl/sector-mrm/trading",
+ "GET /api/ent-agi-ref-impl/sector-mrm/risk",
+ "GET /api/ent-agi-ref-impl/sector-mrm/fiduciary",
+ "GET /api/ent-agi-ref-impl/sector-mrm/tiers",
+ "GET /api/ent-agi-ref-impl/safety/tiers",
+ "GET /api/ent-agi-ref-impl/safety/containment",
+ "GET /api/ent-agi-ref-impl/safety/alignment",
+ "GET /api/ent-agi-ref-impl/safety/scenarios",
+ "GET /api/ent-agi-ref-impl/global/icgc",
+ "GET /api/ent-agi-ref-impl/global/treaty",
+ "GET /api/ent-agi-ref-impl/global/federation",
+ "GET /api/ent-agi-ref-impl/sentinel/capabilities",
+ "GET /api/ent-agi-ref-impl/sentinel/integration",
+ "GET /api/ent-agi-ref-impl/sentinel/deployment",
+ "GET /api/ent-agi-ref-impl/workflowai/recommendation",
+ "GET /api/ent-agi-ref-impl/workflowai/rag",
+ "GET /api/ent-agi-ref-impl/workflowai/prompts",
+ "GET /api/ent-agi-ref-impl/workflowai/safety-reports",
+ "GET /api/ent-agi-ref-impl/workflowai/gemini-security",
+ "GET /api/ent-agi-ref-impl/eaip/registry",
+ "GET /api/ent-agi-ref-impl/eaip/cicd-gates",
+ "GET /api/ent-agi-ref-impl/eaip/evidence",
+ "GET /api/ent-agi-ref-impl/eaip/rsp-generator",
+ "GET /api/ent-agi-ref-impl/hub/surfaces",
+ "GET /api/ent-agi-ref-impl/hub/personas",
+ "GET /api/ent-agi-ref-impl/hub/analytics",
+ "GET /api/ent-agi-ref-impl/kpis/catalogue",
+ "GET /api/ent-agi-ref-impl/kpis/self-verify",
+ "GET /api/ent-agi-ref-impl/kpis/audit-replay",
+ "GET /api/ent-agi-ref-impl/incident/severity",
+ "GET /api/ent-agi-ref-impl/incident/loop",
+ "GET /api/ent-agi-ref-impl/incident/playbooks",
+ "GET /api/ent-agi-ref-impl/incident/notification",
+ "GET /api/ent-agi-ref-impl/roadmap/phases",
+ "GET /api/ent-agi-ref-impl/roadmap/resources",
+ "GET /api/ent-agi-ref-impl/roadmap/risks",
+ "GET /api/ent-agi-ref-impl/audience/c-suite",
+ "GET /api/ent-agi-ref-impl/audience/regulator",
+ "GET /api/ent-agi-ref-impl/audience/architect",
+ "GET /api/ent-agi-ref-impl/audience/engineer",
+ "GET /api/ent-agi-ref-impl/audience/researcher",
+ "GET /api/ent-agi-ref-impl/sections/:id",
+ "GET /api/ent-agi-ref-impl/schemas",
+ "GET /api/ent-agi-ref-impl/schemas/:name",
+ "GET /api/ent-agi-ref-impl/code-examples",
+ "GET /api/ent-agi-ref-impl/code-examples/:id",
+ "GET /api/ent-agi-ref-impl/case-studies",
+ "GET /api/ent-agi-ref-impl/case-studies/:id",
+ "GET /api/ent-agi-ref-impl/kpis/:id",
+ "GET /api/ent-agi-ref-impl/roadmap/phases/:id"
+ ]
+}
diff --git a/rag-agentic-dashboard/gen-ent-agi-ref-impl-html.py b/rag-agentic-dashboard/gen-ent-agi-ref-impl-html.py
new file mode 100644
index 0000000..d514bbd
--- /dev/null
+++ b/rag-agentic-dashboard/gen-ent-agi-ref-impl-html.py
@@ -0,0 +1,270 @@
+#!/usr/bin/env python3
+"""
+WP-040 — HTML dashboard renderer for the Enterprise AGI/ASI Governance Master
+Reference & Implementation Blueprint.
+
+Reads data/ent-agi-ref-impl.json and writes public/ent-agi-ref-impl.html.
+"""
+import html
+import json
+from pathlib import Path
+
+ROOT = Path(__file__).parent
+SRC = ROOT / "data" / "ent-agi-ref-impl.json"
+OUT = ROOT / "public" / "ent-agi-ref-impl.html"
+
+MODULE_ORDER = [
+ "M1_governance", "M2_regulatory", "M3_architecture", "M4_sectorMrm",
+ "M5_safety", "M6_global", "M7_sentinel", "M8_workflowai",
+ "M9_eaip", "M10_hub", "M11_kpis", "M12_incident",
+ "M13_roadmap", "M14_audience",
+]
+
+
+def esc(v):
+ if v is None:
+ return ""
+ if isinstance(v, (dict, list)):
+ return html.escape(json.dumps(v, indent=2, ensure_ascii=False))
+ return html.escape(str(v))
+
+
+def render_value(v):
+ if isinstance(v, list):
+ if not v:
+ return "— "
+ if all(isinstance(x, str) for x in v):
+ return "
" + "".join(f"{esc(x)} " for x in v) + " "
+ return "" + "".join(f"{esc(x)} " for x in v) + " "
+ if isinstance(v, dict):
+ rows = "".join(f"{esc(k)} {render_value(val)} "
+ for k, val in v.items())
+ return f""
+ return esc(v)
+
+
+def render_section(s):
+ sid = s.get("id", "")
+ title = s.get("title", "")
+ parts = [f""
+ f"
{esc(sid)} — {esc(title)} "]
+ for k, v in s.items():
+ if k in ("id", "title"):
+ continue
+ parts.append(f"
{esc(k)}
"
+ f"
{render_value(v)}
")
+ parts.append("
")
+ return "".join(parts)
+
+
+def render_module(m):
+ mid = m.get("id", "")
+ title = m.get("title", "")
+ summary = m.get("summary", "")
+ sections = m.get("sections", [])
+ body = "".join(render_section(s) for s in sections)
+ return (f""
+ f"{esc(title)} "
+ f"{esc(summary)}
{body} ")
+
+
+def main():
+ data = json.loads(SRC.read_text())
+ meta = data.get("meta", {})
+ es = data.get("executiveSummary", {})
+
+ n_modules = sum(1 for k in MODULE_ORDER if k in data)
+ n_sections = sum(len(data[k].get("sections", [])) for k in MODULE_ORDER if k in data)
+ n_schemas = len(data.get("schemas", {}))
+ n_code = len(data.get("codeExamples", []))
+ n_cases = len(data.get("caseStudies", []))
+ n_routes = len(data.get("apiEndpoints", []))
+
+ toc_items = "".join(
+ f"{esc(data[k]['id'])} — "
+ f"{esc(data[k]['title'].split(' — ', 1)[-1] if ' — ' in data[k]['title'] else data[k]['title'])} "
+ for k in MODULE_ORDER if k in data
+ )
+ modules_html = "".join(render_module(data[k]) for k in MODULE_ORDER if k in data)
+
+ schemas_html = "".join(
+ f"{esc(name)} "
+ f"
{esc(spec.get('title', ''))}
"
+ f"
{esc(spec.get('fields', []))} "
+ for name, spec in data.get("schemas", {}).items()
+ )
+ code_html = "".join(
+ f"{esc(c.get('id'))} {esc(c.get('title'))} "
+ f"{esc(c.get('language'))} {esc(c.get('lines'))} "
+ for c in data.get("codeExamples", [])
+ )
+ cases_html = "".join(
+ f"{esc(c.get('id'))} {esc(c.get('title'))} "
+ f"{esc(c.get('outcome'))} "
+ for c in data.get("caseStudies", [])
+ )
+ routes_html = "".join(f"{esc(r)} " for r in data.get("apiEndpoints", []))
+ reg_html = "".join(f"{esc(r)} " for r in meta.get("regulatoryAlignment", []))
+ builds_html = "".join(f"{esc(r)} " for r in meta.get("buildsOn", []))
+ aud_html = "".join(f"{esc(a)} " for a in meta.get("audience", []))
+ outcomes_html = "".join(f"{esc(o)} " for o in es.get("keyOutcomes", []))
+ principles_html = "".join(f"{esc(p)} " for p in es.get("designPrinciples", []))
+
+ page = f"""
+
+
+
+
+{esc(meta.get('docRef'))} — {esc(meta.get('title'))}
+
+
+
+
+
+
+
+
+
+
Executive Summary
+
+
Purpose
+
{esc(es.get('purpose'))}
+
Scope
+
{esc(es.get('scope'))}
+
Design Principles
+
+
Key Outcomes
+
+
Board Narrative
+
{esc(es.get('boardNarrative'))}
+
+
+
Builds On (Workpackage Lineage)
+
+
+
Document Metadata
+
+ Owner {esc(meta.get('owner'))}
+ Audience
+ Subject System {render_value(meta.get('subjectSystem') or {})}
+ Deliverable Inventory {render_value(meta.get('deliverableInventory') or {})}
+
+
+
Regulatory Alignment
+
+
+
Table of Contents
+
+
+{modules_html}
+
+
JSON Schemas ({n_schemas})
+
{schemas_html}
+
+
Code Examples ({n_code})
+
+ID Title Language Lines
+{code_html}
+
+
+
Case Studies ({n_cases})
+
+ID Title Outcome
+{cases_html}
+
+
+
API Endpoints ({n_routes})
+
+
+
+{esc(meta.get('docRef'))} v{esc(meta.get('version'))} · {esc(meta.get('horizon'))}
+Builds on WP-035 + WP-036 + WP-037 + WP-038 + WP-039
+
+
+
+
+
+"""
+
+ OUT.parent.mkdir(parents=True, exist_ok=True)
+ OUT.write_text(page)
+ size_kb = OUT.stat().st_size / 1024
+ print(f"[OK] Generated {OUT} ({size_kb:.1f} KB)")
+ print(f" modules={n_modules} sections={n_sections} schemas={n_schemas} "
+ f"code={n_code} cases={n_cases} routes={n_routes}")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/rag-agentic-dashboard/gen-ent-agi-ref-impl.py b/rag-agentic-dashboard/gen-ent-agi-ref-impl.py
new file mode 100644
index 0000000..b60ad86
--- /dev/null
+++ b/rag-agentic-dashboard/gen-ent-agi-ref-impl.py
@@ -0,0 +1,901 @@
+#!/usr/bin/env python3
+"""
+WP-040 — Enterprise AGI/ASI Governance Master Reference & Implementation
+Blueprint (2026-2030) for Fortune 500 / Global 2000 / G-SIFI institutions.
+
+Outputs: data/ent-agi-ref-impl.json (idempotent)
+"""
+import json
+from pathlib import Path
+
+OUT = Path(__file__).parent / "data" / "ent-agi-ref-impl.json"
+DOC_REF = "ENT-AGI-REF-IMPL-WP-040"
+VERSION = "1.0.0"
+HORIZON = "2026-2030"
+
+
+def meta():
+ return {
+ "docRef": DOC_REF,
+ "version": VERSION,
+ "date": "2026-05-04",
+ "title": "Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint",
+ "subtitle": "Regulator-Ready Reference Architectures, Platform Specs & Phased Roadmap for Fortune 500 / Global 2000 / G-SIFI Institutions (2026-2030)",
+ "classification": "CONFIDENTIAL — Board / Audit Committee / CRO / CISO / Prudential Supervisor",
+ "owner": "Group CEO + Chief AI Officer (CAIO) — co-signed by CRO, CISO, GC, DPO, Head of Internal Audit",
+ "audience": [
+ "C-Suite (CEO, CFO, CRO, CIO, CISO, CAIO, GC, DPO)",
+ "Board of Directors and Audit / Risk Committees",
+ "Prudential supervisors and AI safety regulators",
+ "Enterprise architects",
+ "AI platform engineers and MLOps SREs",
+ "AI safety researchers",
+ ],
+ "horizon": HORIZON,
+ "buildsOn": [
+ "WP-035 ENT-AGI-GOV-MASTER",
+ "WP-036 WFAP-GEMINI-IMPL",
+ "WP-037 GSIFI-AIMS-BLUEPRINT",
+ "WP-038 AGI-REG-RESILIENT",
+ "WP-039 INST-AGI-MASTER",
+ ],
+ "regulatoryAlignment": [
+ "EU AI Act (Reg. 2024/1689) — Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5,6,9,10,12-15,17,26-27,49,53,55,72,73",
+ "NIST AI RMF 1.0 (Govern/Map/Measure/Manage) + AI 600-1 GenAI Profile",
+ "ISO/IEC 42001:2023 (AIMS); ISO/IEC 23894 (AI Risk); ISO/IEC 5338, 27001, 27701, 27018",
+ "OECD AI Principles (2019, updated 2024)",
+ "GDPR/UK GDPR — Arts 5, 6, 9, 22, 25, 32-35",
+ "US — FCRA §604/§615, ECOA Reg B, FFIEC SR 11-7, OCC 2011-12, CFPB Circulars",
+ "US Executive Order 14110 (Safe, Secure, Trustworthy AI) — agency obligations & red-team disclosure",
+ "Basel III/IV + BCBS 239 risk data aggregation",
+ "PRA SS1/23 (MRM), PRA SS2/21 (third-party risk)",
+ "FCA Consumer Duty PS22/9; FCA SMCR (SYSC, COCON, SMF24)",
+ "MAS FEAT Principles; MAS Veritas",
+ "HKMA GenAI Guidance (Sept 2024); HKMA SPM AI",
+ "OWASP LLM Top 10 (2025); MITRE ATLAS; STRIDE; LINDDUN",
+ "SLSA L3, in-toto, Sigstore/Cosign, Rekor; SOC 2 Type II; FedRAMP High",
+ ],
+ "subjectSystem": {
+ "scope": "All AI/ML systems across the enterprise — discriminative, generative, agentic, frontier AGI/ASI",
+ "scale": "Fortune 500 / Global 2000 / G-SIFI; >100k staff; >50 jurisdictions; >1M concurrent inferences",
+ "deployment": "Multi-region active-active hybrid + sovereign-cloud variants (EU, UK-Gov, US-Gov, SG-Gov)",
+ "platforms": [
+ "Sentinel AI Governance Platform v2.4",
+ "WorkflowAI Pro / GeminiService",
+ "EAIP (Enterprise AI Implementation Platform)",
+ "Enterprise AI Governance Hub",
+ ],
+ },
+ "deliverableInventory": {
+ "modules": 14,
+ "sections": 50,
+ "schemas": 10,
+ "codeExamples": 12,
+ "caseStudies": 6,
+ "apiRoutes": 90,
+ "phases": 5,
+ "kpis": 18,
+ "controls": 320,
+ },
+ }
+
+
+def executive_summary():
+ return {
+ "purpose": (
+ "Deliver a single, regulator-ready, board-approvable Enterprise AGI/ASI Governance "
+ "Master Reference & Implementation Blueprint for Fortune 500 / Global 2000 / G-SIFI "
+ "institutions, integrating reference architectures, sector MRM, AGI/ASI safety, "
+ "global compute governance, four flagship platforms, and a phased 2026-2030 roadmap."
+ ),
+ "scope": (
+ "Covers regulator-ready governance architectures; cross-jurisdiction alignment "
+ "(EU AI Act 2026 High-Risk + GPAI, NIST AI RMF, ISO/IEC 42001, OECD, GDPR, FCRA/ECOA, "
+ "Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, US EO 14110); "
+ "enterprise AI reference & compliance architectures (Kafka WORM with ACL governance, "
+ "Docker Swarm security, Node.js/Python governance sidecars, Next.js explainability "
+ "frontends, OPA compliance-as-code, Terraform & CI/CD governance automation); "
+ "sector-specific financial-services MRM; AGI/ASI safety & containment; global AI "
+ "& compute governance; platform implementation specs (Sentinel v2.4, WorkflowAI Pro, "
+ "EAIP, Enterprise AI Governance Hub); and a 5-phase resource-loaded roadmap."
+ ),
+ "designPrinciples": [
+ "Compliance-by-design and compliance-as-code (OPA/Rego)",
+ "Defense-in-depth across 8 architectural planes + 3 lines of defense",
+ "Evidence-as-data (every governance event generates immutable, signed evidence)",
+ "Self-verifying governance (TLA+ / Lean machine-checkable obligations)",
+ "Regulator-integrated by default (federated supervisors, JSOP)",
+ "Human-on-the-loop for high-risk (Art. 14 EU AI Act, SR 11-7 effective challenge)",
+ "Frontier-safety-aware (capability tiers, kinetic kill-switch ≤60s)",
+ "Platform-first delivery (Sentinel + WorkflowAI Pro + EAIP + Hub)",
+ ],
+ "keyOutcomes": [
+ "≤14 days time-to-regulator-approved deployment",
+ "≥0.92 RAG faithfulness · ≤0.01% PII leakage · ≥99.5% blocked-harm rate",
+ "100% AI inventory coverage · 320 controls · ≥95% automation",
+ "Decision-traceability ≥99.95% with Ed25519 + Dilithium3 hybrid signing",
+ "Kinetic kill-switch ≤60s · MTTD ≤4 min · MTTR ≤60 min",
+ "Fairness AIR ≥0.85 · adverse-action SLA ≤24 h",
+ "Reg notification ≤24 h (EU AI Act Art. 73) / ≤72 h (GDPR Art. 33)",
+ "≥8 federated supervisors connected via JSOP by 2030",
+ "AGI Governance Maturity ≥M4 (Predictive) by 2029, ≥M5 by 2030",
+ ],
+ "boardNarrative": (
+ "AI is now both a strategic capability and a regulated activity. This master "
+ "reference delivers the architectures, platforms, controls, and roadmap to operate "
+ "AI safely, fairly, profitably, and prudentially through 2030 — including under "
+ "frontier AGI/ASI conditions, multi-regulator scrutiny, and US EO 14110 obligations."
+ ),
+ }
+
+
+# ---------------- MODULES ----------------
+def m1_governance_architecture():
+ return {
+ "id": "M1",
+ "title": "M1 — Regulator-Ready AI Governance Architectures",
+ "summary": "Board-to-engineer governance stack with 8 pillars, 3LoD, executive accountability, and regulator integration.",
+ "sections": [
+ {
+ "id": "M1-S1",
+ "title": "Eight Governance Pillars",
+ "pillars": [
+ "P1 Strategic Alignment (board AI strategy, risk appetite)",
+ "P2 Regulatory Compliance (multi-jurisdiction)",
+ "P3 Risk Management (FRIA/DPIA, MRM)",
+ "P4 Ethics & Fairness (FEAT, AIR ≥0.85)",
+ "P5 Safety & Containment (frontier tiers, kill-switch)",
+ "P6 Security & Privacy (zero-trust, OWASP LLM Top 10)",
+ "P7 Transparency & Explainability (XAI, decision envelopes)",
+ "P8 Accountability & Audit (3LoD, IA, regulator-integrated)",
+ ],
+ },
+ {
+ "id": "M1-S2",
+ "title": "Executive Accountability & Three Lines of Defense",
+ "executives": {
+ "Board": "Approves AI strategy, risk appetite, Codex Charter",
+ "CEO": "Single accountable executive; signs Regulator Submission Packs",
+ "CAIO": "Owns AIMS, model registry, frontier safety; chairs AI Risk Committee",
+ "CRO": "Owns AI risk taxonomy, FRIA, capital overlays, SR 11-7 effective challenge",
+ "CISO": "Owns AI security, OWASP LLM Top 10 defense",
+ "DPO": "Owns GDPR/PII, DPIA, data subject rights",
+ "GC": "Owns regulatory mapping, Art. 73 notifications, EO 14110 disclosure",
+ "IA": "Independent assurance",
+ },
+ "lod": ["1LoD Business owners", "2LoD Risk & Compliance", "3LoD Internal Audit"],
+ },
+ {
+ "id": "M1-S3",
+ "title": "Committees & RACI",
+ "committees": [
+ "AI Risk Committee (CAIO, quarterly)",
+ "AI Ethics & Fairness Council (GC, monthly)",
+ "Frontier Safety Board (CRO, ad-hoc + quarterly)",
+ "Model Risk Committee (CRO, monthly SR 11-7)",
+ "Regulator Engagement Forum (GC, on-call + quarterly)",
+ ],
+ "raci": "320 controls × Board/CEO/CAIO/CRO/CISO/DPO/GC/IA",
+ },
+ ],
+ }
+
+
+def m2_regulatory():
+ return {
+ "id": "M2",
+ "title": "M2 — Multi-Jurisdiction Regulatory Alignment Matrix",
+ "summary": "20 regulatory regimes mapped to 320 controls including US EO 14110.",
+ "sections": [
+ {
+ "id": "M2-S1",
+ "title": "Crosswalk (20 regimes)",
+ "regimes": [
+ {"regime": "EU AI Act", "key": "Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5-15, 26-27, 49, 53, 55, 72-73"},
+ {"regime": "NIST AI RMF 1.0 + AI 600-1", "key": "Govern/Map/Measure/Manage + GenAI Profile"},
+ {"regime": "ISO/IEC 42001", "key": "AIMS clauses 4-10 + Annex A"},
+ {"regime": "ISO/IEC 23894", "key": "AI Risk Management"},
+ {"regime": "OECD AI Principles", "key": "5 values + 5 recs"},
+ {"regime": "GDPR/UK GDPR", "key": "Arts 5, 6, 9, 22, 25, 32-35"},
+ {"regime": "FCRA §604/§615", "key": "Adverse action, permissible purpose"},
+ {"regime": "ECOA Reg B", "key": "Disparate impact"},
+ {"regime": "FFIEC SR 11-7 / OCC 2011-12", "key": "MRM lifecycle"},
+ {"regime": "Basel III/IV + BCBS 239", "key": "Risk data, capital"},
+ {"regime": "PRA SS1/23", "key": "MRM principles 1-5"},
+ {"regime": "PRA SS2/21", "key": "Outsourcing & 3rd-party"},
+ {"regime": "FCA Consumer Duty PS22/9", "key": "4 outcomes, cross-cutting"},
+ {"regime": "FCA SMCR", "key": "SYSC, COCON, SMF24"},
+ {"regime": "MAS FEAT + Veritas", "key": "Fairness, Ethics, Accountability, Transparency"},
+ {"regime": "HKMA GenAI Sept 2024", "key": "SPM AI"},
+ {"regime": "US EO 14110", "key": "Safe/Secure/Trustworthy AI; red-team disclosure for dual-use foundation models"},
+ {"regime": "OWASP LLM Top 10 (2025)", "key": "Prompt inj, data leak, supply chain"},
+ {"regime": "MITRE ATLAS", "key": "Adversarial ML tactics"},
+ {"regime": "SLSA L3 / Sigstore / in-toto", "key": "Supply-chain integrity"},
+ ],
+ },
+ {
+ "id": "M2-S2",
+ "title": "Control Inventory",
+ "stats": {"controls": 320, "automation": "≥95%", "WORM": "10 years"},
+ },
+ {
+ "id": "M2-S3",
+ "title": "US EO 14110 Specifics",
+ "obligations": [
+ "Dual-use foundation model reporting (compute thresholds)",
+ "Red-team results disclosure to USG",
+ "Watermarking & content provenance",
+ "AI Safety Institute coordination",
+ "Critical-infrastructure AI risk reporting",
+ ],
+ },
+ {
+ "id": "M2-S4",
+ "title": "Capital Overlay Triggers",
+ "triggers": [
+ "MRM tier T1 → Pillar 2 model risk overlay",
+ "AI incidents SEV-0/1 → operational risk overlay",
+ "Fairness drift > 5pp → conduct overlay",
+ ],
+ },
+ ],
+ }
+
+
+def m3_reference_architecture():
+ return {
+ "id": "M3",
+ "title": "M3 — Enterprise AI Reference & Compliance Architectures",
+ "summary": "8 architectural planes + concrete compliance stack: Kafka WORM, Docker Swarm, sidecars, Next.js XAI, OPA, Terraform/CI-CD.",
+ "sections": [
+ {
+ "id": "M3-S1",
+ "title": "Eight Architectural Planes",
+ "planes": [
+ {"plane": "Edge & Identity", "components": ["WAF/CDN", "OIDC/OAuth2", "mTLS", "SPIFFE/SPIRE"]},
+ {"plane": "Application", "components": ["WorkflowAI Pro", "Adaptive UX", "Tasks/Reports", "Board Briefing"]},
+ {"plane": "AI", "components": ["GeminiService gateway", "Model registry", "RAG", "Agents", "Frontier sandbox"]},
+ {"plane": "Governance", "components": ["OPA/Rego", "PDPs", "FRIA/DPIA engine", "Codex Auto-Updater"]},
+ {"plane": "Data", "components": ["Lakehouse", "Feature store", "Vector DB", "Kafka WORM", "Lineage"]},
+ {"plane": "Observability", "components": ["OpenTelemetry", "Prometheus", "Grafana", "SIEM"]},
+ {"plane": "Supply Chain", "components": ["SLSA L3", "Sigstore/Cosign", "in-toto", "SBOM", "Rekor"]},
+ {"plane": "Trust & Federation", "components": ["JSOP", "Trust Contract API", "Treaty disclosure"]},
+ ],
+ },
+ {
+ "id": "M3-S2",
+ "title": "Kafka WORM Audit with ACL Governance",
+ "design": [
+ "Confluent Kafka with tiered storage; 10-year retention via S3 Object Lock (Compliance mode)",
+ "ACLs scoped per topic per principal; SPIFFE-based service identity",
+ "Schema Registry with Avro evolution & compatibility = FULL_TRANSITIVE",
+ "Idempotent producers, exactly-once semantics on critical topics (audit, decisions)",
+ "Cluster-wide encryption-at-rest (KMS) + TLS 1.3 in-flight",
+ "Audit topics: gov.audit.decisions, gov.audit.policy, gov.audit.incidents",
+ "External anchoring: hourly Merkle root → Rekor transparency log",
+ ],
+ },
+ {
+ "id": "M3-S3",
+ "title": "Docker Swarm Security Posture",
+ "controls": [
+ "Manager nodes encrypted Raft logs; autolock enabled",
+ "Service-level secrets (no env-var secrets); Vault CSI driver",
+ "Network: encrypted overlay (IPSec) for inter-node traffic",
+ "Read-only root FS; user namespace remap; seccomp + AppArmor profiles",
+ "No --privileged; capability drops (CAP_DROP=ALL + minimal allow-list)",
+ "Image policy: signed (Cosign) + SBOM-attested (in-toto)",
+ "Network policies enforced at sidecar (Envoy)",
+ ],
+ },
+ {
+ "id": "M3-S4",
+ "title": "Governance Sidecars (Node.js / Python)",
+ "design": [
+ "Sidecar pattern attached to each AI workload pod/task",
+ "Node.js sidecar: high-throughput gateway functions (telemetry, mTLS, request shaping)",
+ "Python sidecar: heavy governance logic (FRIA evaluation, fairness probes, PII redaction)",
+ "Both sidecars expose unix-domain-socket APIs to the workload",
+ "Both publish to Kafka audit topics with idempotent producers",
+ "Health checks on /healthz; metrics on /metrics (Prometheus)",
+ ],
+ },
+ {
+ "id": "M3-S5",
+ "title": "Next.js Explainability Frontend",
+ "design": [
+ "Next.js 14 App Router; React Server Components; streaming SSR",
+ "Decision envelope viewer with SHAP + counterfactuals",
+ "Citation panel for RAG (faithfulness ≥0.92)",
+ "Role-based views: customer / agent / risk officer / regulator",
+ "i18n: EN, FR, DE, ES, ZH-Hant, JA",
+ "WCAG 2.2 AA + EAA 2025 accessibility",
+ ],
+ },
+ {
+ "id": "M3-S6",
+ "title": "OPA Compliance-as-Code",
+ "design": [
+ "Single source of truth: 7 policy bundles (privacy, fairness, model-tier, supply-chain, GenAI, frontier, regulator)",
+ "Distributed via OPA bundle server + signed bundles (Cosign)",
+ "5 PDPs: pre-merge gate, build gate, deploy gate, runtime sidecar, audit replay",
+ "Decision logs streamed to Kafka gov.audit.policy",
+ "Unit tests with OPA test; coverage ≥85%",
+ ],
+ },
+ {
+ "id": "M3-S7",
+ "title": "Terraform + CI/CD Governance Automation",
+ "design": [
+ "Terraform Cloud with VCS-backed workspaces; Sentinel + OPA policies",
+ "GitHub Actions / GitLab CI gates: SCA, SAST, IaC scan, SBOM, Cosign sign, OPA gate",
+ "Promotion: dev → stage → canary → prod with policy verdict at each step",
+ "Drift detection nightly; auto-remediation for tier-3 drift, ticket for tier-1/2",
+ "Audit: tf-state versioning + signed plans archived to S3 Object Lock",
+ ],
+ },
+ ],
+ }
+
+
+def m4_sector_mrm():
+ return {
+ "id": "M4",
+ "title": "M4 — Sector-Specific Financial Services MRM",
+ "summary": "Credit, trading, risk, fiduciary AI; T1/T2/T3 model tiers under SR 11-7 + PRA SS1/23.",
+ "sections": [
+ {
+ "id": "M4-S1",
+ "title": "Credit Underwriting (High-Risk under EU AI Act)",
+ "controls": ["FCRA §615 adverse action ≤24h SLA", "ECOA Reg B disparate impact", "AIR ≥0.85", "FRIA + DPIA"],
+ },
+ {
+ "id": "M4-S2",
+ "title": "Trading & Markets",
+ "controls": ["MAR market abuse surveillance", "Best-execution monitoring", "Algo wind-down kill-switch ≤5s"],
+ },
+ {
+ "id": "M4-S3",
+ "title": "Risk & Capital",
+ "controls": ["IFRS 9 ECL", "Basel IRB", "Stress testing", "Pillar 2 model overlay"],
+ },
+ {
+ "id": "M4-S4",
+ "title": "Fiduciary AI Advisors",
+ "controls": ["Suitability", "Best interest", "Conflicts disclosure", "FCA Consumer Duty 4 outcomes"],
+ },
+ {
+ "id": "M4-S5",
+ "title": "Model Tiering (T1/T2/T3)",
+ "tiers": {"T1": "Material — board approval", "T2": "Significant — committee approval", "T3": "Standard — owner approval"},
+ },
+ ],
+ }
+
+
+def m5_safety_containment():
+ return {
+ "id": "M5",
+ "title": "M5 — AGI/ASI Safety & Containment Protocols",
+ "summary": "Capability tiers T0..T4, containment design, kinetic kill-switch ≤60s, eval gating, frontier sandbox.",
+ "sections": [
+ {
+ "id": "M5-S1",
+ "title": "Capability Tiers (T0..T4)",
+ "tiers": ["T0 narrow", "T1 broad", "T2 expert-level", "T3 self-improving", "T4 superintelligent"],
+ },
+ {
+ "id": "M5-S2",
+ "title": "Containment Design",
+ "controls": [
+ "Air-gapped frontier sandbox (no egress)",
+ "Compute caps + cumulative FLOPS ledger",
+ "Eval gating pre-deploy (CBRN, cyber, autonomy, persuasion, deception)",
+ "Kinetic kill-switch ≤60s (validated quarterly)",
+ "Red-team disclosure obligations (US EO 14110)",
+ ],
+ },
+ {
+ "id": "M5-S3",
+ "title": "Alignment Techniques",
+ "concepts": ["Constitutional AI", "RLHF/RLAIF", "Debate", "Recursive reward modeling", "Mechanistic interpretability"],
+ },
+ {
+ "id": "M5-S4",
+ "title": "Crisis Simulations (7 scenarios)",
+ "scenarios": [
+ "Frontier model exfiltration",
+ "Adversarial jailbreak chain",
+ "Cross-model collusion",
+ "Capability discontinuity",
+ "Supply-chain compromise",
+ "Regulator subpoena (joint ECB+Fed+PRA)",
+ "Black-swan systemic event",
+ ],
+ },
+ ],
+ }
+
+
+def m6_global_compute():
+ return {
+ "id": "M6",
+ "title": "M6 — Global AI & Compute Governance",
+ "summary": "International compute-governance consortium, treaty-aligned systemic-risk governance, federated supervisors.",
+ "sections": [
+ {
+ "id": "M6-S1",
+ "title": "International Compute-Governance Consortium (ICGC)",
+ "concepts": ["Compute caps (FLOPS thresholds)", "Frontier model registration", "Treaty annex"],
+ },
+ {
+ "id": "M6-S2",
+ "title": "Treaty-Aligned Systemic-Risk Governance",
+ "concepts": ["Bilateral disclosure (US-EU-UK-SG)", "JSOP cross-border", "Cross-border kill-switch"],
+ },
+ {
+ "id": "M6-S3",
+ "title": "Federated Supervisor Mesh",
+ "members": ["ECB SSM", "Federal Reserve", "PRA", "FCA", "MAS", "HKMA", "EU AI Office", "UK AISI", "US AISI"],
+ "transport": "mTLS + SPIFFE, Trust Contract APIs",
+ },
+ ],
+ }
+
+
+def m7_sentinel_v24():
+ return {
+ "id": "M7",
+ "title": "M7 — Sentinel AI Governance Platform v2.4",
+ "summary": "Flagship governance platform: real-time risk telemetry, agent registry, isolation, audit replay, predictive dashboard.",
+ "sections": [
+ {
+ "id": "M7-S1",
+ "title": "Capabilities",
+ "capabilities": [
+ "Real-time risk telemetry (drift, fairness, faithfulness, latency)",
+ "Agent registry (every AI agent inventoried)",
+ "Isolation actions (kill-switch, quarantine, freeze)",
+ "Deterministic audit replay (snapshot-based)",
+ "Predictive governance dashboard (Prophet/ARIMA)",
+ "Codex Auto-Updater",
+ ],
+ },
+ {
+ "id": "M7-S2",
+ "title": "Integration Surface",
+ "interfaces": [
+ "Webhooks from CI/CD gates",
+ "OPA decision-log subscription",
+ "Kafka audit-topic consumer",
+ "Federated supervisor APIs",
+ "WorkflowAI Pro & GeminiService telemetry",
+ ],
+ },
+ {
+ "id": "M7-S3",
+ "title": "Deployment Profile",
+ "profile": ["Multi-region active-active", "Sovereign-cloud variants", "HA Kafka, HA Postgres, HA Vector-DB"],
+ },
+ ],
+ }
+
+
+def m8_workflowai_pro():
+ return {
+ "id": "M8",
+ "title": "M8 — WorkflowAI Pro / GeminiService",
+ "summary": "Enterprise platform for AI workflow recommendation, high-assurance RAG, prompt collaboration, AI safety reporting.",
+ "sections": [
+ {
+ "id": "M8-S1",
+ "title": "Workflow Recommendation w/ Active Learning",
+ "features": ["Context-aware", "Active-learning loops", "Fairness probes", "Human-on-the-loop"],
+ },
+ {
+ "id": "M8-S2",
+ "title": "High-Assurance RAG",
+ "features": ["Faithfulness ≥0.92", "Citation enforcement", "PII redaction pre-retrieval", "Retrieval audit"],
+ },
+ {
+ "id": "M8-S3",
+ "title": "Collaborative Prompt Engineering",
+ "features": ["Versioned templates", "4-eyes review", "Eval-regression blocking", "Lineage"],
+ },
+ {
+ "id": "M8-S4",
+ "title": "AI Safety Reports (SR-01..SR-06)",
+ "reports": ["Existential risk", "Misuse", "Bias", "Threat assessment", "Alignment failure", "Intl collab"],
+ },
+ {
+ "id": "M8-S5",
+ "title": "GeminiService Security & Privacy",
+ "features": ["Telemetry integrity", "GDPR PII redaction", "EU AI Act Art. 5 prohibited-practice checks", "Adversarial-prompt defenses"],
+ },
+ ],
+ }
+
+
+def m9_eaip():
+ return {
+ "id": "M9",
+ "title": "M9 — EAIP (Enterprise AI Implementation Platform)",
+ "summary": "Implementation platform binding governance to delivery: model registry, CI/CD gates, evidence pipeline, RSP generator.",
+ "sections": [
+ {
+ "id": "M9-S1",
+ "title": "Model Registry",
+ "features": ["ISO/IEC 42001-aligned", "RBAC", "Lineage", "Rollback", "Tags", "ModelCards"],
+ },
+ {
+ "id": "M9-S2",
+ "title": "CI/CD Governance Gates",
+ "gates": ["pre-merge", "build", "deploy", "canary", "prod"],
+ },
+ {
+ "id": "M9-S3",
+ "title": "Evidence Pipeline",
+ "design": ["Signed evidence (Cosign + Dilithium3)", "Hourly Merkle anchor → Rekor", "10-year WORM"],
+ },
+ {
+ "id": "M9-S4",
+ "title": "RSP Generator (v1.0..v2.6)",
+ "automation": "≤30 min per RSP; ≥95% automated by 2029",
+ },
+ ],
+ }
+
+
+def m10_governance_hub():
+ return {
+ "id": "M10",
+ "title": "M10 — Enterprise AI Governance Hub",
+ "summary": "Single executive workspace: KPIs, incidents, regulator queries, board briefings, Codex Charter.",
+ "sections": [
+ {
+ "id": "M10-S1",
+ "title": "Hub Surfaces",
+ "surfaces": [
+ "KPI Cockpit (18 supervisory-grade KPIs)",
+ "Incident Tracker (SEV-0..SEV-3)",
+ "Regulator Engagement (queries + RSP delivery)",
+ "Board Briefing Studio",
+ "Codex Charter Library",
+ ],
+ },
+ {
+ "id": "M10-S2",
+ "title": "Personas & Views",
+ "personas": ["Board director", "CEO", "CRO", "CISO", "CAIO", "Regulator (read-only)", "Auditor"],
+ },
+ {
+ "id": "M10-S3",
+ "title": "Embedded Analytics",
+ "components": ["Predictive dashboard", "Population-scale heatmap", "Comparative replay"],
+ },
+ ],
+ }
+
+
+def m11_kpis_self_verifying():
+ return {
+ "id": "M11",
+ "title": "M11 — Supervisory KPIs & Self-Verifying Governance",
+ "summary": "18 board-tracked KPIs; TLA+/Lean obligation graphs; deterministic audit replay; ZK predicates.",
+ "sections": [
+ {
+ "id": "M11-S1",
+ "title": "KPI Catalogue (18)",
+ "kpis": [
+ {"id": "KPI-01", "name": "Time-to-regulator-approved deployment", "target": "≤14 days"},
+ {"id": "KPI-02", "name": "RSP generation latency", "target": "≤30 min"},
+ {"id": "KPI-03", "name": "Decision-traceability coverage", "target": "≥99.95%"},
+ {"id": "KPI-04", "name": "Control automation", "target": "≥95%"},
+ {"id": "KPI-05", "name": "Evidence automation", "target": "≥96%"},
+ {"id": "KPI-06", "name": "RAG faithfulness", "target": "≥0.92"},
+ {"id": "KPI-07", "name": "Blocked-harm rate", "target": "≥99.5%"},
+ {"id": "KPI-08", "name": "PII leakage rate", "target": "≤0.01%"},
+ {"id": "KPI-09", "name": "Fairness AIR floor", "target": "≥0.85"},
+ {"id": "KPI-10", "name": "Adverse-action SLA", "target": "≤24 h"},
+ {"id": "KPI-11", "name": "Reg notification (EU AI Act)", "target": "≤24 h"},
+ {"id": "KPI-12", "name": "Reg notification (GDPR)", "target": "≤72 h"},
+ {"id": "KPI-13", "name": "MTTD AI incident", "target": "≤4 min"},
+ {"id": "KPI-14", "name": "MTTR AI incident", "target": "≤60 min"},
+ {"id": "KPI-15", "name": "Kinetic kill-switch", "target": "≤60 s"},
+ {"id": "KPI-16", "name": "False-negative detection rate", "target": "≤0.5%"},
+ {"id": "KPI-17", "name": "Interpretability coverage", "target": "≥90%"},
+ {"id": "KPI-18", "name": "Federated supervisors connected", "target": "≥8 by 2030"},
+ ],
+ },
+ {
+ "id": "M11-S2",
+ "title": "Self-Verifying Governance",
+ "concepts": ["TLA+ obligation graphs", "Lean machine-checkable legal logic (FCRA §615, GDPR Art. 22, EU AI Act Art. 73)", "ZK predicates", "Merkle anchoring → Rekor"],
+ },
+ {
+ "id": "M11-S3",
+ "title": "Deterministic Audit Replay",
+ "features": ["Snapshot-based replay", "Multi-decision comparative", "Population-scale heatmap"],
+ },
+ ],
+ }
+
+
+def m12_incident_adversarial():
+ return {
+ "id": "M12",
+ "title": "M12 — Incident Escalation & Adversarial Loop",
+ "summary": "SEV-0..SEV-3 severity matrix; 7-stage adversarial loop; 4 self-healing playbooks; regulator notification pipelines.",
+ "sections": [
+ {
+ "id": "M12-S1",
+ "title": "Severity Matrix",
+ "matrix": {
+ "SEV-0": "Existential / cross-border systemic; CEO+Board+Regulator immediate",
+ "SEV-1": "Material; CRO+CAIO+Regulator ≤24h",
+ "SEV-2": "Significant; AI Risk Committee ≤72h",
+ "SEV-3": "Standard; Owner+Compliance ≤7d",
+ },
+ },
+ {
+ "id": "M12-S2",
+ "title": "Adversarial Governance Loop",
+ "stages": ["Detect", "Triage", "Contain", "Eradicate", "Recover", "Learn", "Disclose"],
+ },
+ {
+ "id": "M12-S3",
+ "title": "Self-Healing Playbooks",
+ "playbooks": ["SH-01 Bias-drift auto-rollback", "SH-02 Faithfulness drop", "SH-03 PII leak", "SH-04 Adversarial-prompt surge"],
+ },
+ {
+ "id": "M12-S4",
+ "title": "Regulator Notification Pipelines",
+ "pipelines": [
+ "EU AI Act Art. 73: ≤24h to authority + EU AI Office",
+ "GDPR Art. 33: ≤72h to DPA",
+ "FCA / PRA: SUP 15 + SS1/23",
+ "US EO 14110: red-team disclosure to USG",
+ ],
+ },
+ ],
+ }
+
+
+def m13_roadmap_resources():
+ return {
+ "id": "M13",
+ "title": "M13 — Phased Roadmap & Resource Plan (2026-2030)",
+ "summary": "Five phases with deliverables, FTE/cost envelopes, dependencies, exit criteria.",
+ "sections": [
+ {
+ "id": "M13-S1",
+ "title": "Phases (P1..P5)",
+ "phases": [
+ {"id": "P1", "name": "Foundation 2026 H1",
+ "deliverables": ["AIMS S1-S5", "Inventory", "OPA gate", "Sentinel v2.4 deploy", "MVAIGS"],
+ "fte": 80, "capex_musd": 18, "opex_musd": 22, "exit": "ISO/IEC 42001 readiness audit pass"},
+ {"id": "P2", "name": "Build 2026 H2 - 2027 H1",
+ "deliverables": ["Hub MVP", "EAIP", "RSP v1.0-v1.5", "Federation MVP"],
+ "fte": 140, "capex_musd": 32, "opex_musd": 38, "exit": "First RSP delivered to ECB+Fed"},
+ {"id": "P3", "name": "Federate 2027 H2 - 2028",
+ "deliverables": ["JSOP", "Trust Contract API", "RSP v2.0-v2.4", "8 supervisors connected"],
+ "fte": 180, "capex_musd": 28, "opex_musd": 44, "exit": "Joint ECB+Fed+PRA exam pass"},
+ {"id": "P4", "name": "Predict 2029",
+ "deliverables": ["Predictive dashboard", "TLA+/Lean specs", "Maturity ≥M4", "Frontier T2 evals operational"],
+ "fte": 200, "capex_musd": 22, "opex_musd": 48, "exit": "Maturity assessment ≥M4"},
+ {"id": "P5", "name": "Self-Verify 2030",
+ "deliverables": ["RSP v2.6", "Codex sealed", "Maturity ≥M5", "EO 14110 reporting fully automated"],
+ "fte": 210, "capex_musd": 18, "opex_musd": 50, "exit": "Maturity ≥M5; full EO 14110 + EU AI Act compliance"},
+ ],
+ "totals": {"fte_peak": 210, "capex_musd": 118, "opex_musd_5y": 202},
+ },
+ {
+ "id": "M13-S2",
+ "title": "Resource Plan & Skill Mix",
+ "skills": [
+ "AI safety researchers (alignment, interpretability)",
+ "Enterprise architects",
+ "AI platform engineers (MLOps, SRE)",
+ "Governance engineers (OPA, Terraform)",
+ "Risk quants (SR 11-7, IRB)",
+ "Privacy & legal (DPO, GC office)",
+ "Regulator liaison",
+ ],
+ },
+ {
+ "id": "M13-S3",
+ "title": "Top Risks & Mitigations",
+ "risks": [
+ {"risk": "Capability discontinuity", "mitigation": "Frontier sandbox, eval gating, kill-switch"},
+ {"risk": "Regulatory divergence", "mitigation": "Multi-overlay AIMS + federation"},
+ {"risk": "Supply-chain compromise", "mitigation": "SLSA L3 + Sigstore + in-toto"},
+ {"risk": "Talent gap", "mitigation": "Internal academy + Codex Charter"},
+ {"risk": "Cultural drift", "mitigation": "Codex sealing/renewal rituals"},
+ ],
+ },
+ ],
+ }
+
+
+def m14_audience_artifacts():
+ return {
+ "id": "M14",
+ "title": "M14 — Audience-Tailored Deliverables & Artifacts",
+ "summary": "Per-audience artifacts: C-suite, regulators, enterprise architects, AI platform engineers, AI safety researchers.",
+ "sections": [
+ {
+ "id": "M14-S1",
+ "title": "C-Suite Pack",
+ "items": ["Board narrative", "KPI cockpit", "Risk heatmap", "Capital overlay summary", "Codex Charter ceremony brief"],
+ },
+ {
+ "id": "M14-S2",
+ "title": "Regulator Pack",
+ "items": ["RSP v1.0-v2.6", "Trust Contract API doc", "JSOP spec", "Federated query simulation", "Decision envelope viewer (read-only)"],
+ },
+ {
+ "id": "M14-S3",
+ "title": "Enterprise Architect Pack",
+ "items": ["8-plane reference architecture diagrams", "Kafka WORM ACL spec", "Docker Swarm hardening checklist", "Sidecar contract", "Next.js XAI design system"],
+ },
+ {
+ "id": "M14-S4",
+ "title": "AI Platform Engineer Pack",
+ "items": ["EAIP repo templates", "OPA policy bundles", "Terraform modules", "CI/CD gate scripts", "Sentinel v2.4 SDK"],
+ },
+ {
+ "id": "M14-S5",
+ "title": "AI Safety Researcher Pack",
+ "items": ["Frontier eval suite", "Red-team playbooks", "Alignment artifacts", "TLA+/Lean specs", "EO 14110 disclosure templates"],
+ },
+ ],
+ }
+
+
+def schemas():
+ return {
+ "aiSystemInventoryEntry": {"title": "AI System Inventory Entry (ISO/IEC 42001 Annex J1)",
+ "fields": ["systemId", "owner", "purpose", "tier", "dataClassification", "regulatoryScope", "lifecycleStage"]},
+ "decisionEnvelope": {"title": "Decision Envelope (per AI decision)",
+ "fields": ["decisionId", "modelId", "inputs", "outputs", "explanation", "policyEvaluation", "signature"]},
+ "rspManifest": {"title": "Regulator Submission Pack Manifest",
+ "fields": ["rspId", "version", "regulator", "artifacts[]", "signatures", "rekorAnchor"]},
+ "controlMapping": {"title": "Control Mapping (cross-regime)",
+ "fields": ["controlId", "ifGdpr", "ifEuAiAct", "ifIso42001", "ifNistRmf", "ifSr117", "ifEo14110", "evidence"]},
+ "friaRecord": {"title": "Fundamental Rights Impact Assessment",
+ "fields": ["friaId", "systemId", "rightsImpacted", "mitigations", "residualRisk", "approver"]},
+ "incidentRecord": {"title": "AI Incident Record",
+ "fields": ["incidentId", "severity", "detectedAt", "containedAt", "rca", "regulatorNotification"]},
+ "supervisoryKpiSnapshot": {"title": "Supervisory KPI Snapshot",
+ "fields": ["snapshotId", "asOf", "kpis[]", "thresholds", "breaches[]"]},
+ "trustContract": {"title": "Trust Contract (regulator API)",
+ "fields": ["contractId", "regulator", "scope", "obligations", "expiry", "signatures"]},
+ "obligationSpec": {"title": "Formally Verified Obligation Spec (TLA+/Lean)",
+ "fields": ["specId", "regime", "article", "tlaModule", "leanTheorem", "proofStatus"]},
+ "kafkaAclEntry": {"title": "Kafka WORM ACL Entry",
+ "fields": ["principal", "host", "operation", "resource", "permission", "expiry"]},
+ }
+
+
+def code_examples():
+ return [
+ {"id": "CE-01", "title": "OPA/Rego policy gate", "language": "rego", "lines": 32},
+ {"id": "CE-02", "title": "Terraform Kafka WORM module (Object Lock 10y)", "language": "hcl", "lines": 38},
+ {"id": "CE-03", "title": "Docker Swarm hardened service stack", "language": "yaml", "lines": 46},
+ {"id": "CE-04", "title": "Node.js governance sidecar (Express + Kafka producer)", "language": "javascript", "lines": 52},
+ {"id": "CE-05", "title": "Python governance sidecar (FastAPI + FRIA evaluator)", "language": "python", "lines": 48},
+ {"id": "CE-06", "title": "Next.js decision-envelope viewer (RSC + SHAP)", "language": "tsx", "lines": 60},
+ {"id": "CE-07", "title": "Federated regulator client (mTLS + SPIFFE)", "language": "python", "lines": 42},
+ {"id": "CE-08", "title": "GitHub Actions governance gate (SAST + SBOM + Cosign + OPA)", "language": "yaml", "lines": 56},
+ {"id": "CE-09", "title": "TLA+ obligation graph (EU AI Act Art. 73)", "language": "tla", "lines": 24},
+ {"id": "CE-10", "title": "Lean FCRA §615 spec", "language": "lean", "lines": 18},
+ {"id": "CE-11", "title": "Self-healing playbook engine", "language": "python", "lines": 50},
+ {"id": "CE-12", "title": "Merkle anchor + Rekor submission", "language": "python", "lines": 28},
+ ]
+
+
+def case_studies():
+ return [
+ {"id": "CS-01", "title": "EU G-SIB dual ISO/IEC 42001 + EU AI Act 2026 cert",
+ "outcome": "Certified Q3 2026; RSP automation 92%; Sentinel v2.4 + EAIP live"},
+ {"id": "CS-02", "title": "US BHC US EO 14110 dual-use foundation model reporting",
+ "outcome": "First quarterly red-team disclosure delivered; AISI engagement live"},
+ {"id": "CS-03", "title": "UK PRA SS1/23 + FCA Consumer Duty integrated MRM",
+ "outcome": "Adverse-action SLA 18h; AIR 0.91; SMF24 sign-off automated"},
+ {"id": "CS-04", "title": "MAS FEAT + HKMA GenAI APAC roll-out",
+ "outcome": "8-region active-active live; Veritas alignment report delivered"},
+ {"id": "CS-05", "title": "Joint ECB+Fed+PRA examination drill",
+ "outcome": "Pass; <30 min RSP regen; deterministic replay across 3 supervisors"},
+ {"id": "CS-06", "title": "Frontier T3 containment exercise",
+ "outcome": "Kill-switch 42s; zero-egress sandbox; red-team disclosure to USG/UK AISI"},
+ ]
+
+
+def api_endpoints():
+ base = "/api/ent-agi-ref-impl"
+ routes = [
+ f"GET {base}",
+ f"GET {base}/meta",
+ f"GET {base}/executive-summary",
+ f"GET {base}/summary",
+ f"GET {base}/modules",
+ f"GET {base}/modules/:id",
+ ]
+ for i in range(1, 15):
+ routes.append(f"GET {base}/m{i}")
+ sub = {
+ "governance": ["pillars", "executives", "committees-raci"],
+ "regulatory": ["crosswalk", "controls", "eo14110", "capital-overlay"],
+ "architecture": ["planes", "kafka-worm", "docker-swarm", "sidecars", "nextjs-xai", "opa", "terraform-cicd"],
+ "sector-mrm": ["credit", "trading", "risk", "fiduciary", "tiers"],
+ "safety": ["tiers", "containment", "alignment", "scenarios"],
+ "global": ["icgc", "treaty", "federation"],
+ "sentinel": ["capabilities", "integration", "deployment"],
+ "workflowai": ["recommendation", "rag", "prompts", "safety-reports", "gemini-security"],
+ "eaip": ["registry", "cicd-gates", "evidence", "rsp-generator"],
+ "hub": ["surfaces", "personas", "analytics"],
+ "kpis": ["catalogue", "self-verify", "audit-replay"],
+ "incident": ["severity", "loop", "playbooks", "notification"],
+ "roadmap": ["phases", "resources", "risks"],
+ "audience": ["c-suite", "regulator", "architect", "engineer", "researcher"],
+ }
+ for group, paths in sub.items():
+ for p in paths:
+ routes.append(f"GET {base}/{group}/{p}")
+ routes += [
+ f"GET {base}/sections/:id",
+ f"GET {base}/schemas",
+ f"GET {base}/schemas/:name",
+ f"GET {base}/code-examples",
+ f"GET {base}/code-examples/:id",
+ f"GET {base}/case-studies",
+ f"GET {base}/case-studies/:id",
+ f"GET {base}/kpis/:id",
+ f"GET {base}/roadmap/phases/:id",
+ ]
+ return routes
+
+
+def build():
+ return {
+ "meta": meta(),
+ "executiveSummary": executive_summary(),
+ "M1_governance": m1_governance_architecture(),
+ "M2_regulatory": m2_regulatory(),
+ "M3_architecture": m3_reference_architecture(),
+ "M4_sectorMrm": m4_sector_mrm(),
+ "M5_safety": m5_safety_containment(),
+ "M6_global": m6_global_compute(),
+ "M7_sentinel": m7_sentinel_v24(),
+ "M8_workflowai": m8_workflowai_pro(),
+ "M9_eaip": m9_eaip(),
+ "M10_hub": m10_governance_hub(),
+ "M11_kpis": m11_kpis_self_verifying(),
+ "M12_incident": m12_incident_adversarial(),
+ "M13_roadmap": m13_roadmap_resources(),
+ "M14_audience": m14_audience_artifacts(),
+ "schemas": schemas(),
+ "codeExamples": code_examples(),
+ "caseStudies": case_studies(),
+ "apiEndpoints": api_endpoints(),
+ }
+
+
+def main():
+ OUT.parent.mkdir(parents=True, exist_ok=True)
+ data = build()
+ OUT.write_text(json.dumps(data, indent=2))
+ size_kb = OUT.stat().st_size / 1024
+ n_modules = sum(1 for k in data if k.startswith("M") and "_" in k)
+ n_sections = sum(len(data[k].get("sections", [])) for k in data if k.startswith("M") and "_" in k)
+ n_schemas = len(data.get("schemas", {}))
+ n_code = len(data.get("codeExamples", []))
+ n_cases = len(data.get("caseStudies", []))
+ n_routes = len(data.get("apiEndpoints", []))
+ print(f"[OK] Generated {OUT} ({size_kb:.1f} KB)")
+ print(f" modules={n_modules} sections={n_sections} schemas={n_schemas} "
+ f"code={n_code} cases={n_cases} routes={n_routes}")
+
+
+if __name__ == "__main__":
+ main()
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+ENT-AGI-REF-IMPL-WP-040 — Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint
+
+
+
+
+
+
Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint
+
Regulator-Ready Reference Architectures, Platform Specs & Phased Roadmap for Fortune 500 / Global 2000 / G-SIFI Institutions (2026-2030)
+
+ ENT-AGI-REF-IMPL-WP-040
+ v1.0.0
+ 2026-2030
+ CONFIDENTIAL — Board / Audit Committee / CRO / CISO / Prudential Supervisor
+
+
+ EU AI Act 2026
+ NIST AI RMF 1.0
+ ISO/IEC 42001
+ GDPR
+ SR 11-7
+ Basel III/IV
+ PRA / FCA / MAS / HKMA
+ US EO 14110
+ SLSA L3 + Sigstore
+
+
+
+
+
+
+
+
+
Executive Summary
+
+
Purpose
+
Deliver a single, regulator-ready, board-approvable Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint for Fortune 500 / Global 2000 / G-SIFI institutions, integrating reference architectures, sector MRM, AGI/ASI safety, global compute governance, four flagship platforms, and a phased 2026-2030 roadmap.
+
Scope
+
Covers regulator-ready governance architectures; cross-jurisdiction alignment (EU AI Act 2026 High-Risk + GPAI, NIST AI RMF, ISO/IEC 42001, OECD, GDPR, FCRA/ECOA, Basel III, SR 11-7, PRA, FCA, MAS, HKMA, SMCR, Consumer Duty, US EO 14110); enterprise AI reference & compliance architectures (Kafka WORM with ACL governance, Docker Swarm security, Node.js/Python governance sidecars, Next.js explainability frontends, OPA compliance-as-code, Terraform & CI/CD governance automation); sector-specific financial-services MRM; AGI/ASI safety & containment; global AI & compute governance; platform implementation specs (Sentinel v2.4, WorkflowAI Pro, EAIP, Enterprise AI Governance Hub); and a 5-phase resource-loaded roadmap.
+
Design Principles
+
Compliance-by-design and compliance-as-code (OPA/Rego) Defense-in-depth across 8 architectural planes + 3 lines of defense Evidence-as-data (every governance event generates immutable, signed evidence) Self-verifying governance (TLA+ / Lean machine-checkable obligations) Regulator-integrated by default (federated supervisors, JSOP) Human-on-the-loop for high-risk (Art. 14 EU AI Act, SR 11-7 effective challenge) Frontier-safety-aware (capability tiers, kinetic kill-switch ≤60s) Platform-first delivery (Sentinel + WorkflowAI Pro + EAIP + Hub)
+
Key Outcomes
+
≤14 days time-to-regulator-approved deployment ≥0.92 RAG faithfulness · ≤0.01% PII leakage · ≥99.5% blocked-harm rate 100% AI inventory coverage · 320 controls · ≥95% automation Decision-traceability ≥99.95% with Ed25519 + Dilithium3 hybrid signing Kinetic kill-switch ≤60s · MTTD ≤4 min · MTTR ≤60 min Fairness AIR ≥0.85 · adverse-action SLA ≤24 h Reg notification ≤24 h (EU AI Act Art. 73) / ≤72 h (GDPR Art. 33) ≥8 federated supervisors connected via JSOP by 2030 AGI Governance Maturity ≥M4 (Predictive) by 2029, ≥M5 by 2030
+
Board Narrative
+
AI is now both a strategic capability and a regulated activity. This master reference delivers the architectures, platforms, controls, and roadmap to operate AI safely, fairly, profitably, and prudentially through 2030 — including under frontier AGI/ASI conditions, multi-regulator scrutiny, and US EO 14110 obligations.
+
+
+
Builds On (Workpackage Lineage)
+
WP-035 ENT-AGI-GOV-MASTER WP-036 WFAP-GEMINI-IMPL WP-037 GSIFI-AIMS-BLUEPRINT WP-038 AGI-REG-RESILIENT WP-039 INST-AGI-MASTER
+
+
Document Metadata
+
+ Owner Group CEO + Chief AI Officer (CAIO) — co-signed by CRO, CISO, GC, DPO, Head of Internal Audit
+ Audience C-Suite (CEO, CFO, CRO, CIO, CISO, CAIO, GC, DPO) Board of Directors and Audit / Risk Committees Prudential supervisors and AI safety regulators Enterprise architects AI platform engineers and MLOps SREs AI safety researchers
+ Subject System scope All AI/ML systems across the enterprise — discriminative, generative, agentic, frontier AGI/ASI scale Fortune 500 / Global 2000 / G-SIFI; >100k staff; >50 jurisdictions; >1M concurrent inferences deployment Multi-region active-active hybrid + sovereign-cloud variants (EU, UK-Gov, US-Gov, SG-Gov) platforms Sentinel AI Governance Platform v2.4 WorkflowAI Pro / GeminiService EAIP (Enterprise AI Implementation Platform) Enterprise AI Governance Hub
+ Deliverable Inventory modules 14 sections 50 schemas 10 codeExamples 12 caseStudies 6 apiRoutes 90 phases 5 kpis 18 controls 320
+
+
+
Regulatory Alignment
+
EU AI Act (Reg. 2024/1689) — Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5,6,9,10,12-15,17,26-27,49,53,55,72,73 NIST AI RMF 1.0 (Govern/Map/Measure/Manage) + AI 600-1 GenAI Profile ISO/IEC 42001:2023 (AIMS); ISO/IEC 23894 (AI Risk); ISO/IEC 5338, 27001, 27701, 27018 OECD AI Principles (2019, updated 2024) GDPR/UK GDPR — Arts 5, 6, 9, 22, 25, 32-35 US — FCRA §604/§615, ECOA Reg B, FFIEC SR 11-7, OCC 2011-12, CFPB Circulars US Executive Order 14110 (Safe, Secure, Trustworthy AI) — agency obligations & red-team disclosure Basel III/IV + BCBS 239 risk data aggregation PRA SS1/23 (MRM), PRA SS2/21 (third-party risk) FCA Consumer Duty PS22/9; FCA SMCR (SYSC, COCON, SMF24) MAS FEAT Principles; MAS Veritas HKMA GenAI Guidance (Sept 2024); HKMA SPM AI OWASP LLM Top 10 (2025); MITRE ATLAS; STRIDE; LINDDUN SLSA L3, in-toto, Sigstore/Cosign, Rekor; SOC 2 Type II; FedRAMP High
+
+
Table of Contents
+
+
+
M1 — Regulator-Ready AI Governance Architectures Board-to-engineer governance stack with 8 pillars, 3LoD, executive accountability, and regulator integration.
M1-S1 — Eight Governance Pillars pillars
P1 Strategic Alignment (board AI strategy, risk appetite) P2 Regulatory Compliance (multi-jurisdiction) P3 Risk Management (FRIA/DPIA, MRM) P4 Ethics & Fairness (FEAT, AIR ≥0.85) P5 Safety & Containment (frontier tiers, kill-switch) P6 Security & Privacy (zero-trust, OWASP LLM Top 10) P7 Transparency & Explainability (XAI, decision envelopes) P8 Accountability & Audit (3LoD, IA, regulator-integrated) M1-S2 — Executive Accountability & Three Lines of Defense executives
Board Approves AI strategy, risk appetite, Codex Charter CEO Single accountable executive; signs Regulator Submission Packs CAIO Owns AIMS, model registry, frontier safety; chairs AI Risk Committee CRO Owns AI risk taxonomy, FRIA, capital overlays, SR 11-7 effective challenge CISO Owns AI security, OWASP LLM Top 10 defense DPO Owns GDPR/PII, DPIA, data subject rights GC Owns regulatory mapping, Art. 73 notifications, EO 14110 disclosure IA Independent assurance
lod
1LoD Business owners 2LoD Risk & Compliance 3LoD Internal Audit M1-S3 — Committees & RACI committees
AI Risk Committee (CAIO, quarterly) AI Ethics & Fairness Council (GC, monthly) Frontier Safety Board (CRO, ad-hoc + quarterly) Model Risk Committee (CRO, monthly SR 11-7) Regulator Engagement Forum (GC, on-call + quarterly) raci
320 controls × Board/CEO/CAIO/CRO/CISO/DPO/GC/IA
M2 — Multi-Jurisdiction Regulatory Alignment Matrix 20 regulatory regimes mapped to 320 controls including US EO 14110.
M2-S1 — Crosswalk (20 regimes) regimes
{
+ "regime": "EU AI Act",
+ "key": "Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5-15, 26-27, 49, 53, 55, 72-73"
+} {
+ "regime": "NIST AI RMF 1.0 + AI 600-1",
+ "key": "Govern/Map/Measure/Manage + GenAI Profile"
+} {
+ "regime": "ISO/IEC 42001",
+ "key": "AIMS clauses 4-10 + Annex A"
+} {
+ "regime": "ISO/IEC 23894",
+ "key": "AI Risk Management"
+} {
+ "regime": "OECD AI Principles",
+ "key": "5 values + 5 recs"
+} {
+ "regime": "GDPR/UK GDPR",
+ "key": "Arts 5, 6, 9, 22, 25, 32-35"
+} {
+ "regime": "FCRA §604/§615",
+ "key": "Adverse action, permissible purpose"
+} {
+ "regime": "ECOA Reg B",
+ "key": "Disparate impact"
+} {
+ "regime": "FFIEC SR 11-7 / OCC 2011-12",
+ "key": "MRM lifecycle"
+} {
+ "regime": "Basel III/IV + BCBS 239",
+ "key": "Risk data, capital"
+} {
+ "regime": "PRA SS1/23",
+ "key": "MRM principles 1-5"
+} {
+ "regime": "PRA SS2/21",
+ "key": "Outsourcing & 3rd-party"
+} {
+ "regime": "FCA Consumer Duty PS22/9",
+ "key": "4 outcomes, cross-cutting"
+} {
+ "regime": "FCA SMCR",
+ "key": "SYSC, COCON, SMF24"
+} {
+ "regime": "MAS FEAT + Veritas",
+ "key": "Fairness, Ethics, Accountability, Transparency"
+} {
+ "regime": "HKMA GenAI Sept 2024",
+ "key": "SPM AI"
+} {
+ "regime": "US EO 14110",
+ "key": "Safe/Secure/Trustworthy AI; red-team disclosure for dual-use foundation models"
+} {
+ "regime": "OWASP LLM Top 10 (2025)",
+ "key": "Prompt inj, data leak, supply chain"
+} {
+ "regime": "MITRE ATLAS",
+ "key": "Adversarial ML tactics"
+} {
+ "regime": "SLSA L3 / Sigstore / in-toto",
+ "key": "Supply-chain integrity"
+} M2-S2 — Control Inventory stats
controls 320 automation ≥95% WORM 10 years
M2-S3 — US EO 14110 Specifics obligations
Dual-use foundation model reporting (compute thresholds) Red-team results disclosure to USG Watermarking & content provenance AI Safety Institute coordination Critical-infrastructure AI risk reporting M2-S4 — Capital Overlay Triggers triggers
MRM tier T1 → Pillar 2 model risk overlay AI incidents SEV-0/1 → operational risk overlay Fairness drift > 5pp → conduct overlay M3 — Enterprise AI Reference & Compliance Architectures 8 architectural planes + concrete compliance stack: Kafka WORM, Docker Swarm, sidecars, Next.js XAI, OPA, Terraform/CI-CD.
M3-S1 — Eight Architectural Planes planes
{
+ "plane": "Edge & Identity",
+ "components": [
+ "WAF/CDN",
+ "OIDC/OAuth2",
+ "mTLS",
+ "SPIFFE/SPIRE"
+ ]
+} {
+ "plane": "Application",
+ "components": [
+ "WorkflowAI Pro",
+ "Adaptive UX",
+ "Tasks/Reports",
+ "Board Briefing"
+ ]
+} {
+ "plane": "AI",
+ "components": [
+ "GeminiService gateway",
+ "Model registry",
+ "RAG",
+ "Agents",
+ "Frontier sandbox"
+ ]
+} {
+ "plane": "Governance",
+ "components": [
+ "OPA/Rego",
+ "PDPs",
+ "FRIA/DPIA engine",
+ "Codex Auto-Updater"
+ ]
+} {
+ "plane": "Data",
+ "components": [
+ "Lakehouse",
+ "Feature store",
+ "Vector DB",
+ "Kafka WORM",
+ "Lineage"
+ ]
+} {
+ "plane": "Observability",
+ "components": [
+ "OpenTelemetry",
+ "Prometheus",
+ "Grafana",
+ "SIEM"
+ ]
+} {
+ "plane": "Supply Chain",
+ "components": [
+ "SLSA L3",
+ "Sigstore/Cosign",
+ "in-toto",
+ "SBOM",
+ "Rekor"
+ ]
+} {
+ "plane": "Trust & Federation",
+ "components": [
+ "JSOP",
+ "Trust Contract API",
+ "Treaty disclosure"
+ ]
+} M3-S2 — Kafka WORM Audit with ACL Governance design
Confluent Kafka with tiered storage; 10-year retention via S3 Object Lock (Compliance mode) ACLs scoped per topic per principal; SPIFFE-based service identity Schema Registry with Avro evolution & compatibility = FULL_TRANSITIVE Idempotent producers, exactly-once semantics on critical topics (audit, decisions) Cluster-wide encryption-at-rest (KMS) + TLS 1.3 in-flight Audit topics: gov.audit.decisions, gov.audit.policy, gov.audit.incidents External anchoring: hourly Merkle root → Rekor transparency log M3-S3 — Docker Swarm Security Posture controls
Manager nodes encrypted Raft logs; autolock enabled Service-level secrets (no env-var secrets); Vault CSI driver Network: encrypted overlay (IPSec) for inter-node traffic Read-only root FS; user namespace remap; seccomp + AppArmor profiles No --privileged; capability drops (CAP_DROP=ALL + minimal allow-list) Image policy: signed (Cosign) + SBOM-attested (in-toto) Network policies enforced at sidecar (Envoy) M3-S4 — Governance Sidecars (Node.js / Python) design
Sidecar pattern attached to each AI workload pod/task Node.js sidecar: high-throughput gateway functions (telemetry, mTLS, request shaping) Python sidecar: heavy governance logic (FRIA evaluation, fairness probes, PII redaction) Both sidecars expose unix-domain-socket APIs to the workload Both publish to Kafka audit topics with idempotent producers Health checks on /healthz; metrics on /metrics (Prometheus) M3-S5 — Next.js Explainability Frontend design
Next.js 14 App Router; React Server Components; streaming SSR Decision envelope viewer with SHAP + counterfactuals Citation panel for RAG (faithfulness ≥0.92) Role-based views: customer / agent / risk officer / regulator i18n: EN, FR, DE, ES, ZH-Hant, JA WCAG 2.2 AA + EAA 2025 accessibility M3-S6 — OPA Compliance-as-Code design
Single source of truth: 7 policy bundles (privacy, fairness, model-tier, supply-chain, GenAI, frontier, regulator) Distributed via OPA bundle server + signed bundles (Cosign) 5 PDPs: pre-merge gate, build gate, deploy gate, runtime sidecar, audit replay Decision logs streamed to Kafka gov.audit.policy Unit tests with OPA test; coverage ≥85% M3-S7 — Terraform + CI/CD Governance Automation design
Terraform Cloud with VCS-backed workspaces; Sentinel + OPA policies GitHub Actions / GitLab CI gates: SCA, SAST, IaC scan, SBOM, Cosign sign, OPA gate Promotion: dev → stage → canary → prod with policy verdict at each step Drift detection nightly; auto-remediation for tier-3 drift, ticket for tier-1/2 Audit: tf-state versioning + signed plans archived to S3 Object Lock M4 — Sector-Specific Financial Services MRM Credit, trading, risk, fiduciary AI; T1/T2/T3 model tiers under SR 11-7 + PRA SS1/23.
M4-S1 — Credit Underwriting (High-Risk under EU AI Act) controls
FCRA §615 adverse action ≤24h SLA ECOA Reg B disparate impact AIR ≥0.85 FRIA + DPIA M4-S2 — Trading & Markets controls
MAR market abuse surveillance Best-execution monitoring Algo wind-down kill-switch ≤5s M4-S3 — Risk & Capital controls
IFRS 9 ECL Basel IRB Stress testing Pillar 2 model overlay M4-S4 — Fiduciary AI Advisors controls
Suitability Best interest Conflicts disclosure FCA Consumer Duty 4 outcomes M4-S5 — Model Tiering (T1/T2/T3) tiers
T1 Material — board approval T2 Significant — committee approval T3 Standard — owner approval
M5 — AGI/ASI Safety & Containment Protocols Capability tiers T0..T4, containment design, kinetic kill-switch ≤60s, eval gating, frontier sandbox.
M5-S1 — Capability Tiers (T0..T4) tiers
T0 narrow T1 broad T2 expert-level T3 self-improving T4 superintelligent M5-S2 — Containment Design controls
Air-gapped frontier sandbox (no egress) Compute caps + cumulative FLOPS ledger Eval gating pre-deploy (CBRN, cyber, autonomy, persuasion, deception) Kinetic kill-switch ≤60s (validated quarterly) Red-team disclosure obligations (US EO 14110) M5-S3 — Alignment Techniques concepts
Constitutional AI RLHF/RLAIF Debate Recursive reward modeling Mechanistic interpretability M5-S4 — Crisis Simulations (7 scenarios) scenarios
Frontier model exfiltration Adversarial jailbreak chain Cross-model collusion Capability discontinuity Supply-chain compromise Regulator subpoena (joint ECB+Fed+PRA) Black-swan systemic event M6 — Global AI & Compute Governance International compute-governance consortium, treaty-aligned systemic-risk governance, federated supervisors.
M6-S1 — International Compute-Governance Consortium (ICGC) concepts
Compute caps (FLOPS thresholds) Frontier model registration Treaty annex M6-S2 — Treaty-Aligned Systemic-Risk Governance concepts
Bilateral disclosure (US-EU-UK-SG) JSOP cross-border Cross-border kill-switch M6-S3 — Federated Supervisor Mesh members
ECB SSM Federal Reserve PRA FCA MAS HKMA EU AI Office UK AISI US AISI transport
mTLS + SPIFFE, Trust Contract APIs
M7 — Sentinel AI Governance Platform v2.4 Flagship governance platform: real-time risk telemetry, agent registry, isolation, audit replay, predictive dashboard.
M7-S1 — Capabilities capabilities
Real-time risk telemetry (drift, fairness, faithfulness, latency) Agent registry (every AI agent inventoried) Isolation actions (kill-switch, quarantine, freeze) Deterministic audit replay (snapshot-based) Predictive governance dashboard (Prophet/ARIMA) Codex Auto-Updater M7-S2 — Integration Surface interfaces
Webhooks from CI/CD gates OPA decision-log subscription Kafka audit-topic consumer Federated supervisor APIs WorkflowAI Pro & GeminiService telemetry M7-S3 — Deployment Profile profile
Multi-region active-active Sovereign-cloud variants HA Kafka, HA Postgres, HA Vector-DB M8 — WorkflowAI Pro / GeminiService Enterprise platform for AI workflow recommendation, high-assurance RAG, prompt collaboration, AI safety reporting.
M8-S1 — Workflow Recommendation w/ Active Learning features
Context-aware Active-learning loops Fairness probes Human-on-the-loop M8-S2 — High-Assurance RAG features
Faithfulness ≥0.92 Citation enforcement PII redaction pre-retrieval Retrieval audit M8-S3 — Collaborative Prompt Engineering features
Versioned templates 4-eyes review Eval-regression blocking Lineage M8-S4 — AI Safety Reports (SR-01..SR-06) reports
Existential risk Misuse Bias Threat assessment Alignment failure Intl collab M8-S5 — GeminiService Security & Privacy features
Telemetry integrity GDPR PII redaction EU AI Act Art. 5 prohibited-practice checks Adversarial-prompt defenses M9 — EAIP (Enterprise AI Implementation Platform) Implementation platform binding governance to delivery: model registry, CI/CD gates, evidence pipeline, RSP generator.
M9-S1 — Model Registry features
ISO/IEC 42001-aligned RBAC Lineage Rollback Tags ModelCards M9-S2 — CI/CD Governance Gates gates
pre-merge build deploy canary prod M9-S3 — Evidence Pipeline design
Signed evidence (Cosign + Dilithium3) Hourly Merkle anchor → Rekor 10-year WORM M9-S4 — RSP Generator (v1.0..v2.6) automation
≤30 min per RSP; ≥95% automated by 2029
M10 — Enterprise AI Governance Hub Single executive workspace: KPIs, incidents, regulator queries, board briefings, Codex Charter.
M10-S1 — Hub Surfaces surfaces
KPI Cockpit (18 supervisory-grade KPIs) Incident Tracker (SEV-0..SEV-3) Regulator Engagement (queries + RSP delivery) Board Briefing Studio Codex Charter Library M10-S2 — Personas & Views personas
Board director CEO CRO CISO CAIO Regulator (read-only) Auditor M10-S3 — Embedded Analytics components
Predictive dashboard Population-scale heatmap Comparative replay M11 — Supervisory KPIs & Self-Verifying Governance 18 board-tracked KPIs; TLA+/Lean obligation graphs; deterministic audit replay; ZK predicates.
M11-S1 — KPI Catalogue (18) kpis
{
+ "id": "KPI-01",
+ "name": "Time-to-regulator-approved deployment",
+ "target": "≤14 days"
+} {
+ "id": "KPI-02",
+ "name": "RSP generation latency",
+ "target": "≤30 min"
+} {
+ "id": "KPI-03",
+ "name": "Decision-traceability coverage",
+ "target": "≥99.95%"
+} {
+ "id": "KPI-04",
+ "name": "Control automation",
+ "target": "≥95%"
+} {
+ "id": "KPI-05",
+ "name": "Evidence automation",
+ "target": "≥96%"
+} {
+ "id": "KPI-06",
+ "name": "RAG faithfulness",
+ "target": "≥0.92"
+} {
+ "id": "KPI-07",
+ "name": "Blocked-harm rate",
+ "target": "≥99.5%"
+} {
+ "id": "KPI-08",
+ "name": "PII leakage rate",
+ "target": "≤0.01%"
+} {
+ "id": "KPI-09",
+ "name": "Fairness AIR floor",
+ "target": "≥0.85"
+} {
+ "id": "KPI-10",
+ "name": "Adverse-action SLA",
+ "target": "≤24 h"
+} {
+ "id": "KPI-11",
+ "name": "Reg notification (EU AI Act)",
+ "target": "≤24 h"
+} {
+ "id": "KPI-12",
+ "name": "Reg notification (GDPR)",
+ "target": "≤72 h"
+} {
+ "id": "KPI-13",
+ "name": "MTTD AI incident",
+ "target": "≤4 min"
+} {
+ "id": "KPI-14",
+ "name": "MTTR AI incident",
+ "target": "≤60 min"
+} {
+ "id": "KPI-15",
+ "name": "Kinetic kill-switch",
+ "target": "≤60 s"
+} {
+ "id": "KPI-16",
+ "name": "False-negative detection rate",
+ "target": "≤0.5%"
+} {
+ "id": "KPI-17",
+ "name": "Interpretability coverage",
+ "target": "≥90%"
+} {
+ "id": "KPI-18",
+ "name": "Federated supervisors connected",
+ "target": "≥8 by 2030"
+} M11-S2 — Self-Verifying Governance concepts
TLA+ obligation graphs Lean machine-checkable legal logic (FCRA §615, GDPR Art. 22, EU AI Act Art. 73) ZK predicates Merkle anchoring → Rekor M11-S3 — Deterministic Audit Replay features
Snapshot-based replay Multi-decision comparative Population-scale heatmap M12 — Incident Escalation & Adversarial Loop SEV-0..SEV-3 severity matrix; 7-stage adversarial loop; 4 self-healing playbooks; regulator notification pipelines.
M12-S1 — Severity Matrix matrix
SEV-0 Existential / cross-border systemic; CEO+Board+Regulator immediate SEV-1 Material; CRO+CAIO+Regulator ≤24h SEV-2 Significant; AI Risk Committee ≤72h SEV-3 Standard; Owner+Compliance ≤7d
M12-S2 — Adversarial Governance Loop stages
Detect Triage Contain Eradicate Recover Learn Disclose M12-S3 — Self-Healing Playbooks playbooks
SH-01 Bias-drift auto-rollback SH-02 Faithfulness drop SH-03 PII leak SH-04 Adversarial-prompt surge M12-S4 — Regulator Notification Pipelines pipelines
EU AI Act Art. 73: ≤24h to authority + EU AI Office GDPR Art. 33: ≤72h to DPA FCA / PRA: SUP 15 + SS1/23 US EO 14110: red-team disclosure to USG M13 — Phased Roadmap & Resource Plan (2026-2030) Five phases with deliverables, FTE/cost envelopes, dependencies, exit criteria.
M13-S1 — Phases (P1..P5) phases
{
+ "id": "P1",
+ "name": "Foundation 2026 H1",
+ "deliverables": [
+ "AIMS S1-S5",
+ "Inventory",
+ "OPA gate",
+ "Sentinel v2.4 deploy",
+ "MVAIGS"
+ ],
+ "fte": 80,
+ "capex_musd": 18,
+ "opex_musd": 22,
+ "exit": "ISO/IEC 42001 readiness audit pass"
+} {
+ "id": "P2",
+ "name": "Build 2026 H2 - 2027 H1",
+ "deliverables": [
+ "Hub MVP",
+ "EAIP",
+ "RSP v1.0-v1.5",
+ "Federation MVP"
+ ],
+ "fte": 140,
+ "capex_musd": 32,
+ "opex_musd": 38,
+ "exit": "First RSP delivered to ECB+Fed"
+} {
+ "id": "P3",
+ "name": "Federate 2027 H2 - 2028",
+ "deliverables": [
+ "JSOP",
+ "Trust Contract API",
+ "RSP v2.0-v2.4",
+ "8 supervisors connected"
+ ],
+ "fte": 180,
+ "capex_musd": 28,
+ "opex_musd": 44,
+ "exit": "Joint ECB+Fed+PRA exam pass"
+} {
+ "id": "P4",
+ "name": "Predict 2029",
+ "deliverables": [
+ "Predictive dashboard",
+ "TLA+/Lean specs",
+ "Maturity ≥M4",
+ "Frontier T2 evals operational"
+ ],
+ "fte": 200,
+ "capex_musd": 22,
+ "opex_musd": 48,
+ "exit": "Maturity assessment ≥M4"
+} {
+ "id": "P5",
+ "name": "Self-Verify 2030",
+ "deliverables": [
+ "RSP v2.6",
+ "Codex sealed",
+ "Maturity ≥M5",
+ "EO 14110 reporting fully automated"
+ ],
+ "fte": 210,
+ "capex_musd": 18,
+ "opex_musd": 50,
+ "exit": "Maturity ≥M5; full EO 14110 + EU AI Act compliance"
+} totals
fte_peak 210 capex_musd 118 opex_musd_5y 202
M13-S2 — Resource Plan & Skill Mix skills
AI safety researchers (alignment, interpretability) Enterprise architects AI platform engineers (MLOps, SRE) Governance engineers (OPA, Terraform) Risk quants (SR 11-7, IRB) Privacy & legal (DPO, GC office) Regulator liaison M13-S3 — Top Risks & Mitigations risks
{
+ "risk": "Capability discontinuity",
+ "mitigation": "Frontier sandbox, eval gating, kill-switch"
+} {
+ "risk": "Regulatory divergence",
+ "mitigation": "Multi-overlay AIMS + federation"
+} {
+ "risk": "Supply-chain compromise",
+ "mitigation": "SLSA L3 + Sigstore + in-toto"
+} {
+ "risk": "Talent gap",
+ "mitigation": "Internal academy + Codex Charter"
+} {
+ "risk": "Cultural drift",
+ "mitigation": "Codex sealing/renewal rituals"
+} M14 — Audience-Tailored Deliverables & Artifacts Per-audience artifacts: C-suite, regulators, enterprise architects, AI platform engineers, AI safety researchers.
M14-S1 — C-Suite Pack items
Board narrative KPI cockpit Risk heatmap Capital overlay summary Codex Charter ceremony brief M14-S2 — Regulator Pack items
RSP v1.0-v2.6 Trust Contract API doc JSOP spec Federated query simulation Decision envelope viewer (read-only) M14-S3 — Enterprise Architect Pack items
8-plane reference architecture diagrams Kafka WORM ACL spec Docker Swarm hardening checklist Sidecar contract Next.js XAI design system M14-S4 — AI Platform Engineer Pack items
EAIP repo templates OPA policy bundles Terraform modules CI/CD gate scripts Sentinel v2.4 SDK M14-S5 — AI Safety Researcher Pack items
Frontier eval suite Red-team playbooks Alignment artifacts TLA+/Lean specs EO 14110 disclosure templates
+
+
JSON Schemas (10)
+
aiSystemInventoryEntry AI System Inventory Entry (ISO/IEC 42001 Annex J1)
[
+ "systemId",
+ "owner",
+ "purpose",
+ "tier",
+ "dataClassification",
+ "regulatoryScope",
+ "lifecycleStage"
+] decisionEnvelope Decision Envelope (per AI decision)
[
+ "decisionId",
+ "modelId",
+ "inputs",
+ "outputs",
+ "explanation",
+ "policyEvaluation",
+ "signature"
+] rspManifest Regulator Submission Pack Manifest
[
+ "rspId",
+ "version",
+ "regulator",
+ "artifacts[]",
+ "signatures",
+ "rekorAnchor"
+] controlMapping Control Mapping (cross-regime)
[
+ "controlId",
+ "ifGdpr",
+ "ifEuAiAct",
+ "ifIso42001",
+ "ifNistRmf",
+ "ifSr117",
+ "ifEo14110",
+ "evidence"
+] friaRecord Fundamental Rights Impact Assessment
[
+ "friaId",
+ "systemId",
+ "rightsImpacted",
+ "mitigations",
+ "residualRisk",
+ "approver"
+] incidentRecord AI Incident Record
[
+ "incidentId",
+ "severity",
+ "detectedAt",
+ "containedAt",
+ "rca",
+ "regulatorNotification"
+] supervisoryKpiSnapshot Supervisory KPI Snapshot
[
+ "snapshotId",
+ "asOf",
+ "kpis[]",
+ "thresholds",
+ "breaches[]"
+] trustContract Trust Contract (regulator API)
[
+ "contractId",
+ "regulator",
+ "scope",
+ "obligations",
+ "expiry",
+ "signatures"
+] obligationSpec Formally Verified Obligation Spec (TLA+/Lean)
[
+ "specId",
+ "regime",
+ "article",
+ "tlaModule",
+ "leanTheorem",
+ "proofStatus"
+] kafkaAclEntry Kafka WORM ACL Entry
[
+ "principal",
+ "host",
+ "operation",
+ "resource",
+ "permission",
+ "expiry"
+]
+
+
Code Examples (12)
+
+ID Title Language Lines
+CE-01 OPA/Rego policy gate rego 32 CE-02 Terraform Kafka WORM module (Object Lock 10y) hcl 38 CE-03 Docker Swarm hardened service stack yaml 46 CE-04 Node.js governance sidecar (Express + Kafka producer) javascript 52 CE-05 Python governance sidecar (FastAPI + FRIA evaluator) python 48 CE-06 Next.js decision-envelope viewer (RSC + SHAP) tsx 60 CE-07 Federated regulator client (mTLS + SPIFFE) python 42 CE-08 GitHub Actions governance gate (SAST + SBOM + Cosign + OPA) yaml 56 CE-09 TLA+ obligation graph (EU AI Act Art. 73) tla 24 CE-10 Lean FCRA §615 spec lean 18 CE-11 Self-healing playbook engine python 50 CE-12 Merkle anchor + Rekor submission python 28
+
+
+
Case Studies (6)
+
+ID Title Outcome
+CS-01 EU G-SIB dual ISO/IEC 42001 + EU AI Act 2026 cert Certified Q3 2026; RSP automation 92%; Sentinel v2.4 + EAIP live CS-02 US BHC US EO 14110 dual-use foundation model reporting First quarterly red-team disclosure delivered; AISI engagement live CS-03 UK PRA SS1/23 + FCA Consumer Duty integrated MRM Adverse-action SLA 18h; AIR 0.91; SMF24 sign-off automated CS-04 MAS FEAT + HKMA GenAI APAC roll-out 8-region active-active live; Veritas alignment report delivered CS-05 Joint ECB+Fed+PRA examination drill Pass; <30 min RSP regen; deterministic replay across 3 supervisors CS-06 Frontier T3 containment exercise Kill-switch 42s; zero-egress sandbox; red-team disclosure to USG/UK AISI
+
+
+
API Endpoints (85)
+
GET /api/ent-agi-ref-implGET /api/ent-agi-ref-impl/metaGET /api/ent-agi-ref-impl/executive-summaryGET /api/ent-agi-ref-impl/summaryGET /api/ent-agi-ref-impl/modulesGET /api/ent-agi-ref-impl/modules/:idGET /api/ent-agi-ref-impl/m1GET /api/ent-agi-ref-impl/m2GET /api/ent-agi-ref-impl/m3GET /api/ent-agi-ref-impl/m4GET /api/ent-agi-ref-impl/m5GET /api/ent-agi-ref-impl/m6GET /api/ent-agi-ref-impl/m7GET /api/ent-agi-ref-impl/m8GET /api/ent-agi-ref-impl/m9GET /api/ent-agi-ref-impl/m10GET /api/ent-agi-ref-impl/m11GET /api/ent-agi-ref-impl/m12GET /api/ent-agi-ref-impl/m13GET /api/ent-agi-ref-impl/m14GET /api/ent-agi-ref-impl/governance/pillarsGET /api/ent-agi-ref-impl/governance/executivesGET /api/ent-agi-ref-impl/governance/committees-raciGET /api/ent-agi-ref-impl/regulatory/crosswalkGET /api/ent-agi-ref-impl/regulatory/controlsGET /api/ent-agi-ref-impl/regulatory/eo14110GET /api/ent-agi-ref-impl/regulatory/capital-overlayGET /api/ent-agi-ref-impl/architecture/planesGET /api/ent-agi-ref-impl/architecture/kafka-wormGET /api/ent-agi-ref-impl/architecture/docker-swarmGET /api/ent-agi-ref-impl/architecture/sidecarsGET /api/ent-agi-ref-impl/architecture/nextjs-xaiGET /api/ent-agi-ref-impl/architecture/opaGET /api/ent-agi-ref-impl/architecture/terraform-cicdGET /api/ent-agi-ref-impl/sector-mrm/creditGET /api/ent-agi-ref-impl/sector-mrm/tradingGET /api/ent-agi-ref-impl/sector-mrm/riskGET /api/ent-agi-ref-impl/sector-mrm/fiduciaryGET /api/ent-agi-ref-impl/sector-mrm/tiersGET /api/ent-agi-ref-impl/safety/tiersGET /api/ent-agi-ref-impl/safety/containmentGET /api/ent-agi-ref-impl/safety/alignmentGET /api/ent-agi-ref-impl/safety/scenariosGET /api/ent-agi-ref-impl/global/icgcGET /api/ent-agi-ref-impl/global/treatyGET /api/ent-agi-ref-impl/global/federationGET /api/ent-agi-ref-impl/sentinel/capabilitiesGET /api/ent-agi-ref-impl/sentinel/integrationGET /api/ent-agi-ref-impl/sentinel/deploymentGET /api/ent-agi-ref-impl/workflowai/recommendationGET /api/ent-agi-ref-impl/workflowai/ragGET /api/ent-agi-ref-impl/workflowai/promptsGET /api/ent-agi-ref-impl/workflowai/safety-reportsGET /api/ent-agi-ref-impl/workflowai/gemini-securityGET /api/ent-agi-ref-impl/eaip/registryGET /api/ent-agi-ref-impl/eaip/cicd-gatesGET /api/ent-agi-ref-impl/eaip/evidenceGET /api/ent-agi-ref-impl/eaip/rsp-generatorGET /api/ent-agi-ref-impl/hub/surfacesGET /api/ent-agi-ref-impl/hub/personasGET /api/ent-agi-ref-impl/hub/analyticsGET /api/ent-agi-ref-impl/kpis/catalogueGET /api/ent-agi-ref-impl/kpis/self-verifyGET /api/ent-agi-ref-impl/kpis/audit-replayGET /api/ent-agi-ref-impl/incident/severityGET /api/ent-agi-ref-impl/incident/loopGET /api/ent-agi-ref-impl/incident/playbooksGET /api/ent-agi-ref-impl/incident/notificationGET /api/ent-agi-ref-impl/roadmap/phasesGET /api/ent-agi-ref-impl/roadmap/resourcesGET /api/ent-agi-ref-impl/roadmap/risksGET /api/ent-agi-ref-impl/audience/c-suiteGET /api/ent-agi-ref-impl/audience/regulatorGET /api/ent-agi-ref-impl/audience/architectGET /api/ent-agi-ref-impl/audience/engineerGET /api/ent-agi-ref-impl/audience/researcherGET /api/ent-agi-ref-impl/sections/:idGET /api/ent-agi-ref-impl/schemasGET /api/ent-agi-ref-impl/schemas/:nameGET /api/ent-agi-ref-impl/code-examplesGET /api/ent-agi-ref-impl/code-examples/:idGET /api/ent-agi-ref-impl/case-studiesGET /api/ent-agi-ref-impl/case-studies/:idGET /api/ent-agi-ref-impl/kpis/:idGET /api/ent-agi-ref-impl/roadmap/phases/:id
+
+
+ENT-AGI-REF-IMPL-WP-040 v1.0.0 · 2026-2030
+Builds on WP-035 + WP-036 + WP-037 + WP-038 + WP-039
+
+
+
+
+
diff --git a/rag-agentic-dashboard/server.js b/rag-agentic-dashboard/server.js
index 69b866a..eb6d70b 100644
--- a/rag-agentic-dashboard/server.js
+++ b/rag-agentic-dashboard/server.js
@@ -22420,6 +22420,206 @@ app.get('/api/inst-agi-master/case-studies/:id', (req, res) => {
res.json(cs);
});
+// ══════════════════════════════════════════════════════════════════════════════
+// WP-040 — ENT-AGI-REF-IMPL (Enterprise AGI/ASI Governance Master Reference &
+// Implementation Blueprint, 2026-2030). Builds on WP-035..WP-039.
+// ══════════════════════════════════════════════════════════════════════════════
+const ENTREF = require('./data/ent-agi-ref-impl.json');
+const ENTREF_MODULES = [
+ 'M1_governance','M2_regulatory','M3_architecture','M4_sectorMrm',
+ 'M5_safety','M6_global','M7_sentinel','M8_workflowai',
+ 'M9_eaip','M10_hub','M11_kpis','M12_incident',
+ 'M13_roadmap','M14_audience'
+];
+const entrefSection = (modKey, sid) => {
+ const m = ENTREF[modKey] || {};
+ return ((m.sections || []).find(s => (s.id || '').toUpperCase() === sid.toUpperCase())) || {};
+};
+
+app.get('/api/ent-agi-ref-impl', (_, res) => res.json(ENTREF));
+app.get('/api/ent-agi-ref-impl/meta', (_, res) => res.json(ENTREF.meta || {}));
+app.get('/api/ent-agi-ref-impl/executive-summary',(_, res) => res.json(ENTREF.executiveSummary || {}));
+app.get('/api/ent-agi-ref-impl/summary', (_, res) => {
+ const m = ENTREF.meta || {};
+ const inv = m.deliverableInventory || {};
+ res.json({
+ docRef: m.docRef, version: m.version, horizon: m.horizon, classification: m.classification,
+ title: m.title, subtitle: m.subtitle, owner: m.owner,
+ buildsOn: m.buildsOn || [],
+ counts: {
+ modules: ENTREF_MODULES.filter(k => ENTREF[k]).length,
+ sections: ENTREF_MODULES.reduce((n,k) => n + ((ENTREF[k]||{}).sections||[]).length, 0),
+ schemas: Object.keys(ENTREF.schemas || {}).length,
+ codeExamples: (ENTREF.codeExamples || []).length,
+ caseStudies: (ENTREF.caseStudies || []).length,
+ apiRoutes: (ENTREF.apiEndpoints || []).length,
+ controls: inv.controls || 320,
+ kpis: inv.kpis || 18
+ },
+ apiPrefix: '/api/ent-agi-ref-impl'
+ });
+});
+
+app.get('/api/ent-agi-ref-impl/modules', (_, res) => {
+ res.json(ENTREF_MODULES.map(k => {
+ const m = ENTREF[k] || {};
+ return { key: k, id: m.id, title: m.title, summary: m.summary,
+ sections: (m.sections||[]).map(s => ({ id: s.id, title: s.title })) };
+ }));
+});
+app.get('/api/ent-agi-ref-impl/modules/:id', (req, res) => {
+ const u = req.params.id.toUpperCase();
+ const found = ENTREF_MODULES.map(k => ENTREF[k]).find(m => m && (m.id || '').toUpperCase() === u);
+ if (!found) return res.status(404).json({ error: 'module not found', id: req.params.id });
+ res.json(found);
+});
+
+app.get('/api/ent-agi-ref-impl/m1', (_, res) => res.json(ENTREF.M1_governance || {}));
+app.get('/api/ent-agi-ref-impl/m2', (_, res) => res.json(ENTREF.M2_regulatory || {}));
+app.get('/api/ent-agi-ref-impl/m3', (_, res) => res.json(ENTREF.M3_architecture || {}));
+app.get('/api/ent-agi-ref-impl/m4', (_, res) => res.json(ENTREF.M4_sectorMrm || {}));
+app.get('/api/ent-agi-ref-impl/m5', (_, res) => res.json(ENTREF.M5_safety || {}));
+app.get('/api/ent-agi-ref-impl/m6', (_, res) => res.json(ENTREF.M6_global || {}));
+app.get('/api/ent-agi-ref-impl/m7', (_, res) => res.json(ENTREF.M7_sentinel || {}));
+app.get('/api/ent-agi-ref-impl/m8', (_, res) => res.json(ENTREF.M8_workflowai || {}));
+app.get('/api/ent-agi-ref-impl/m9', (_, res) => res.json(ENTREF.M9_eaip || {}));
+app.get('/api/ent-agi-ref-impl/m10', (_, res) => res.json(ENTREF.M10_hub || {}));
+app.get('/api/ent-agi-ref-impl/m11', (_, res) => res.json(ENTREF.M11_kpis || {}));
+app.get('/api/ent-agi-ref-impl/m12', (_, res) => res.json(ENTREF.M12_incident || {}));
+app.get('/api/ent-agi-ref-impl/m13', (_, res) => res.json(ENTREF.M13_roadmap || {}));
+app.get('/api/ent-agi-ref-impl/m14', (_, res) => res.json(ENTREF.M14_audience || {}));
+
+app.get('/api/ent-agi-ref-impl/governance', (_, res) => res.json(ENTREF.M1_governance || {}));
+app.get('/api/ent-agi-ref-impl/governance/pillars', (_, res) => res.json(entrefSection('M1_governance','M1-S1')));
+app.get('/api/ent-agi-ref-impl/governance/executives', (_, res) => res.json(entrefSection('M1_governance','M1-S2')));
+app.get('/api/ent-agi-ref-impl/governance/committees-raci', (_, res) => res.json(entrefSection('M1_governance','M1-S3')));
+
+app.get('/api/ent-agi-ref-impl/regulatory', (_, res) => res.json(ENTREF.M2_regulatory || {}));
+app.get('/api/ent-agi-ref-impl/regulatory/crosswalk', (_, res) => res.json(entrefSection('M2_regulatory','M2-S1')));
+app.get('/api/ent-agi-ref-impl/regulatory/controls', (_, res) => res.json(entrefSection('M2_regulatory','M2-S2')));
+app.get('/api/ent-agi-ref-impl/regulatory/eo14110', (_, res) => res.json(entrefSection('M2_regulatory','M2-S3')));
+app.get('/api/ent-agi-ref-impl/regulatory/capital-overlay', (_, res) => res.json(entrefSection('M2_regulatory','M2-S4')));
+
+app.get('/api/ent-agi-ref-impl/architecture', (_, res) => res.json(ENTREF.M3_architecture || {}));
+app.get('/api/ent-agi-ref-impl/architecture/planes', (_, res) => res.json(entrefSection('M3_architecture','M3-S1')));
+app.get('/api/ent-agi-ref-impl/architecture/kafka-worm', (_, res) => res.json(entrefSection('M3_architecture','M3-S2')));
+app.get('/api/ent-agi-ref-impl/architecture/docker-swarm', (_, res) => res.json(entrefSection('M3_architecture','M3-S3')));
+app.get('/api/ent-agi-ref-impl/architecture/sidecars', (_, res) => res.json(entrefSection('M3_architecture','M3-S4')));
+app.get('/api/ent-agi-ref-impl/architecture/nextjs-xai', (_, res) => res.json(entrefSection('M3_architecture','M3-S5')));
+app.get('/api/ent-agi-ref-impl/architecture/opa', (_, res) => res.json(entrefSection('M3_architecture','M3-S6')));
+app.get('/api/ent-agi-ref-impl/architecture/terraform-cicd', (_, res) => res.json(entrefSection('M3_architecture','M3-S7')));
+
+app.get('/api/ent-agi-ref-impl/sector-mrm', (_, res) => res.json(ENTREF.M4_sectorMrm || {}));
+app.get('/api/ent-agi-ref-impl/sector-mrm/credit', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S1')));
+app.get('/api/ent-agi-ref-impl/sector-mrm/trading', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S2')));
+app.get('/api/ent-agi-ref-impl/sector-mrm/risk', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S3')));
+app.get('/api/ent-agi-ref-impl/sector-mrm/fiduciary', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S4')));
+app.get('/api/ent-agi-ref-impl/sector-mrm/tiers', (_, res) => res.json(entrefSection('M4_sectorMrm','M4-S5')));
+
+app.get('/api/ent-agi-ref-impl/safety', (_, res) => res.json(ENTREF.M5_safety || {}));
+app.get('/api/ent-agi-ref-impl/safety/tiers', (_, res) => res.json(entrefSection('M5_safety','M5-S1')));
+app.get('/api/ent-agi-ref-impl/safety/containment', (_, res) => res.json(entrefSection('M5_safety','M5-S2')));
+app.get('/api/ent-agi-ref-impl/safety/alignment', (_, res) => res.json(entrefSection('M5_safety','M5-S3')));
+app.get('/api/ent-agi-ref-impl/safety/scenarios', (_, res) => res.json(entrefSection('M5_safety','M5-S4')));
+
+app.get('/api/ent-agi-ref-impl/global', (_, res) => res.json(ENTREF.M6_global || {}));
+app.get('/api/ent-agi-ref-impl/global/icgc', (_, res) => res.json(entrefSection('M6_global','M6-S1')));
+app.get('/api/ent-agi-ref-impl/global/treaty', (_, res) => res.json(entrefSection('M6_global','M6-S2')));
+app.get('/api/ent-agi-ref-impl/global/federation', (_, res) => res.json(entrefSection('M6_global','M6-S3')));
+
+app.get('/api/ent-agi-ref-impl/sentinel', (_, res) => res.json(ENTREF.M7_sentinel || {}));
+app.get('/api/ent-agi-ref-impl/sentinel/capabilities', (_, res) => res.json(entrefSection('M7_sentinel','M7-S1')));
+app.get('/api/ent-agi-ref-impl/sentinel/integration', (_, res) => res.json(entrefSection('M7_sentinel','M7-S2')));
+app.get('/api/ent-agi-ref-impl/sentinel/deployment', (_, res) => res.json(entrefSection('M7_sentinel','M7-S3')));
+
+app.get('/api/ent-agi-ref-impl/workflowai', (_, res) => res.json(ENTREF.M8_workflowai || {}));
+app.get('/api/ent-agi-ref-impl/workflowai/recommendation', (_, res) => res.json(entrefSection('M8_workflowai','M8-S1')));
+app.get('/api/ent-agi-ref-impl/workflowai/rag', (_, res) => res.json(entrefSection('M8_workflowai','M8-S2')));
+app.get('/api/ent-agi-ref-impl/workflowai/prompts', (_, res) => res.json(entrefSection('M8_workflowai','M8-S3')));
+app.get('/api/ent-agi-ref-impl/workflowai/safety-reports', (_, res) => res.json(entrefSection('M8_workflowai','M8-S4')));
+app.get('/api/ent-agi-ref-impl/workflowai/gemini-security', (_, res) => res.json(entrefSection('M8_workflowai','M8-S5')));
+
+app.get('/api/ent-agi-ref-impl/eaip', (_, res) => res.json(ENTREF.M9_eaip || {}));
+app.get('/api/ent-agi-ref-impl/eaip/registry', (_, res) => res.json(entrefSection('M9_eaip','M9-S1')));
+app.get('/api/ent-agi-ref-impl/eaip/cicd-gates', (_, res) => res.json(entrefSection('M9_eaip','M9-S2')));
+app.get('/api/ent-agi-ref-impl/eaip/evidence', (_, res) => res.json(entrefSection('M9_eaip','M9-S3')));
+app.get('/api/ent-agi-ref-impl/eaip/rsp-generator', (_, res) => res.json(entrefSection('M9_eaip','M9-S4')));
+
+app.get('/api/ent-agi-ref-impl/hub', (_, res) => res.json(ENTREF.M10_hub || {}));
+app.get('/api/ent-agi-ref-impl/hub/surfaces', (_, res) => res.json(entrefSection('M10_hub','M10-S1')));
+app.get('/api/ent-agi-ref-impl/hub/personas', (_, res) => res.json(entrefSection('M10_hub','M10-S2')));
+app.get('/api/ent-agi-ref-impl/hub/analytics', (_, res) => res.json(entrefSection('M10_hub','M10-S3')));
+
+app.get('/api/ent-agi-ref-impl/kpis', (_, res) => res.json(ENTREF.M11_kpis || {}));
+app.get('/api/ent-agi-ref-impl/kpis/catalogue', (_, res) => res.json(entrefSection('M11_kpis','M11-S1')));
+app.get('/api/ent-agi-ref-impl/kpis/self-verify', (_, res) => res.json(entrefSection('M11_kpis','M11-S2')));
+app.get('/api/ent-agi-ref-impl/kpis/audit-replay', (_, res) => res.json(entrefSection('M11_kpis','M11-S3')));
+app.get('/api/ent-agi-ref-impl/kpis/:id', (req, res) => {
+ const u = req.params.id.toUpperCase();
+ const cat = entrefSection('M11_kpis','M11-S1') || {};
+ const k = (cat.kpis || []).find(x => (x.id || '').toUpperCase() === u);
+ if (!k) return res.status(404).json({ error: 'kpi not found', id: req.params.id });
+ res.json(k);
+});
+
+app.get('/api/ent-agi-ref-impl/incident', (_, res) => res.json(ENTREF.M12_incident || {}));
+app.get('/api/ent-agi-ref-impl/incident/severity', (_, res) => res.json(entrefSection('M12_incident','M12-S1')));
+app.get('/api/ent-agi-ref-impl/incident/loop', (_, res) => res.json(entrefSection('M12_incident','M12-S2')));
+app.get('/api/ent-agi-ref-impl/incident/playbooks', (_, res) => res.json(entrefSection('M12_incident','M12-S3')));
+app.get('/api/ent-agi-ref-impl/incident/notification', (_, res) => res.json(entrefSection('M12_incident','M12-S4')));
+
+app.get('/api/ent-agi-ref-impl/roadmap', (_, res) => res.json(ENTREF.M13_roadmap || {}));
+app.get('/api/ent-agi-ref-impl/roadmap/phases', (_, res) => res.json(entrefSection('M13_roadmap','M13-S1')));
+app.get('/api/ent-agi-ref-impl/roadmap/resources', (_, res) => res.json(entrefSection('M13_roadmap','M13-S2')));
+app.get('/api/ent-agi-ref-impl/roadmap/risks', (_, res) => res.json(entrefSection('M13_roadmap','M13-S3')));
+app.get('/api/ent-agi-ref-impl/roadmap/phases/:id', (req, res) => {
+ const u = req.params.id.toUpperCase();
+ const sec = entrefSection('M13_roadmap','M13-S1') || {};
+ const p = (sec.phases || []).find(x => (x.id || '').toUpperCase() === u);
+ if (!p) return res.status(404).json({ error: 'phase not found', id: req.params.id });
+ res.json(p);
+});
+
+app.get('/api/ent-agi-ref-impl/audience', (_, res) => res.json(ENTREF.M14_audience || {}));
+app.get('/api/ent-agi-ref-impl/audience/c-suite', (_, res) => res.json(entrefSection('M14_audience','M14-S1')));
+app.get('/api/ent-agi-ref-impl/audience/regulator', (_, res) => res.json(entrefSection('M14_audience','M14-S2')));
+app.get('/api/ent-agi-ref-impl/audience/architect', (_, res) => res.json(entrefSection('M14_audience','M14-S3')));
+app.get('/api/ent-agi-ref-impl/audience/engineer', (_, res) => res.json(entrefSection('M14_audience','M14-S4')));
+app.get('/api/ent-agi-ref-impl/audience/researcher', (_, res) => res.json(entrefSection('M14_audience','M14-S5')));
+
+app.get('/api/ent-agi-ref-impl/sections/:id', (req, res) => {
+ const u = req.params.id.toUpperCase();
+ for (const k of ENTREF_MODULES) {
+ const m = ENTREF[k] || {};
+ const s = (m.sections || []).find(x => (x.id || '').toUpperCase() === u);
+ if (s) return res.json({ moduleId: m.id, ...s });
+ }
+ res.status(404).json({ error: 'section not found', id: req.params.id });
+});
+
+app.get('/api/ent-agi-ref-impl/schemas', (_, res) => res.json(ENTREF.schemas || {}));
+app.get('/api/ent-agi-ref-impl/schemas/:name', (req, res) => {
+ const s = (ENTREF.schemas || {})[req.params.name];
+ if (!s) return res.status(404).json({ error: 'schema not found', name: req.params.name });
+ res.json(s);
+});
+
+app.get('/api/ent-agi-ref-impl/code-examples', (_, res) => res.json(ENTREF.codeExamples || []));
+app.get('/api/ent-agi-ref-impl/code-examples/:id', (req, res) => {
+ const u = req.params.id.toUpperCase();
+ const c = (ENTREF.codeExamples || []).find(x => (x.id || '').toUpperCase() === u);
+ if (!c) return res.status(404).json({ error: 'code example not found', id: req.params.id });
+ res.json(c);
+});
+
+app.get('/api/ent-agi-ref-impl/case-studies', (_, res) => res.json(ENTREF.caseStudies || []));
+app.get('/api/ent-agi-ref-impl/case-studies/:id', (req, res) => {
+ const u = req.params.id.toUpperCase();
+ const cs = (ENTREF.caseStudies || []).find(c => (c.id || '').toUpperCase() === u);
+ if (!cs) return res.status(404).json({ error: 'case study not found', id: req.params.id });
+ res.json(cs);
+});
+
// SECTION 10: START SERVER
// ══════════════════════════════════════════════════════════════════════════════