feat(AGI-ASI-MASTER-BP-WP-045) v1.0.0 — Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint (EU-Primary, Globally Interoperable, 2026-2030)#80
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… Master Reference & Implementation Blueprint (EU-Primary, Globally Interoperable, 2026-2030) Regulator-submission-grade Master Reference & Implementation Blueprint for Fortune 500 / Global 2000 / G-SIFI financial institutions, EU-primary but globally interoperable, including a machine-parsable <directive> block, full Annexes A-G + D/E/F, and adoption/geopolitical playbooks for 2026-2032. Counts: 14 modules · 70 sections · 12 schemas · 16 code examples · 6 case studies · 24 supervisory KPIs · 12 risk-control rows · 12 regulators · 7 workshops · 6 data flows · 12 traceability rows · 7 annexes · 7-year roadmap · 100 API routes (28 distinct /api/agi-asi-master-bp/* endpoints). Modules: M1 Governance Framework Mappings · M2 AI Governance Architecture (zero-trust, 7 planes) · M3 Financial-services MRM (SR 11-7, PRA SS1/23, BCBS 239, Pillar 2) · M4 AGI/ASI Safety & Containment (Δ ≤ 4 %, latent ≤ 3 %, cosine ≥ 0.92, kill-switch ≤ 60 s) · M5 Global AI & Compute Governance · M6 Implementation Stack (Sentinel, OPA, Kafka WORM, Terraform, SLSA L3+, Sigstore, PQC) · M7 Roadmap 2026-2030 (extends to 2032) · M8 Roles & Accountability (SMCR SoR, 9 RBAC roles) · M9 Supervisory Readiness (evidence pack ≤ 30 min, GAP) · M10 Risk & Control Matrix (STRIDE/OWASP-LLM/ATLAS) · M11 Resource & Capability Plan · M12 Annex Scaffolding · M13 SSPEP / SASK / ANC · M14 Planetary Supervisory Mesh + SCN + SIE + GSKG + GRTC + GSC. Annexes: A Kafka WORM Logging · B OPA Policy Library (132 rules, 8 bundles) · C Terraform Governance Modules (9) · D Explainability Schema + Cross-Jurisdictional Traceability Matrix · E Containment Playbooks + Drill Scripts + Regulator Demo Kit + Workshops · F Supervisory Notebook + Attestation Ledger + GAP Protocol + GAP Reference Implementation · G Adoption + Pilots + Geopolitical Playbooks + Readiness Kits + Facilitator Certification + Global Supervisory Council + Legal Charter & Treaty Framework + Simulation Scenarios + Negotiation Support + Autonomous Negotiation Co-Pilot + Supervisory Submission Pack & Engagement Playbook + Supervisory Approval Simulation Kit + Global Regulator Training Consortium + Global Supervisory Knowledge Graph + Supervisory Intelligence Engine + Supervisory Co-Pilot Network + Planetary Supervisory Mesh. Regulatory alignment: EU AI Act 2026 (Arts 5/9/10/13/14/15/16/26/50/53/55/56/72), NIST AI RMF 1.0 + GAI Profile, ISO/IEC 42001/23894/5338/38507/27001/27701, GDPR Arts 5/6/22/25/32/35, EU DORA, Basel III/IV (BCBS 239 + Pillar 2 AI overlay), SR 11-7, PRA SS1/23 + SS2/21, FCA Consumer Duty + SYSC + SMCR, MAS FEAT + AI Verify, HKMA SPM GS-1 / GL-90, OECD AI Principles, G7 Hiroshima, COE AI Convention, FSB recommendations, US EO 14110 + NIST GAI Profile, OWASP LLM Top 10 (2025), MITRE ATLAS. Thresholds: containmentDelta ≤ 0.04 · latentDriftAlert ≤ 0.03 · killSwitchSeconds ≤ 60 · fiduciaryCosineMin ≥ 0.92 · evidencePackMinutes ≤ 30 · incidentReportingHours ≤ 24 · multisig 3-of-5 · PQC hybrid Ed25519+ML-DSA-65 · daily Merkle anchor. Deliverables (rag-agentic-dashboard/): data/agi-asi-master-bp.json (82.7 KB), gen-agi-asi-master-bp.py, gen-agi-asi-master-bp-html.py, public/agi-asi-master-bp.html (91.2 KB; HTTP 200, 93,426 bytes), server.js with 28 new /api/agi-asi-master-bp/* routes. Validation: node -c server.js OK; PM2 rag-dash online; 52 HTTP 200 positive checks (root, /meta, /executive-summary, /summary, /counts, /regimes, /directive, /modules, /m1-m14, /modules/M1, /sections/M1-S1, /kpis, /kpis/KPI-01, /risk-control-matrix, /risk-control-matrix/RC-01, /regulators, /regulators/REG-01, /workshops, /workshops/WS-01, /data-flows, /data-flows/DF-01, /traceability, /privacy, /deployment, /roadmap, /schemas, /schemas/decisionEnvelope, /code-examples, /code-examples/CE-01, /case-studies, /case-studies/CS-01, /annexes, /annex/a-g) and 12 HTTP 404 negative checks. Owner: CAIO + CRO + GC; co-signed by CISO, DPO, Head of Internal Audit, Head of Compliance, Head of Treasury, AI Safety Lead, Treaty Liaison, CDO, Head of MRM. Classification: CONFIDENTIAL — Board / CRO / CISO / CAIO / GC / DPO / Internal Audit / Prudential Supervisor / AI Safety Institute / Treaty Authority. Lineage: WP-035 → WP-036 → WP-037 → WP-038 → WP-039 → WP-040 → WP-041 → WP-042 → WP-043 → WP-044 → WP-045.
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📝 WalkthroughWalkthroughThis PR introduces a comprehensive enterprise AGI/ASI governance master reference blueprint (WP-045, v1.0.0) as a 2751-line JSON data specification, generates it programmatically from Python, renders it into a styled HTML dashboard, and exposes it through 40+ Express API endpoints for modular access. ChangesEnterprise AGI/ASI Governance Blueprint (WP-045)
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes Possibly related PRs
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Not up to standards ⛔🔴 Issues
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| Category | Results |
|---|---|
| Compatibility | 5 medium |
| Documentation | 5 minor |
| ErrorProne | 1 medium 3 high |
| CodeStyle | 85 minor |
| Comprehensibility | 1 minor |
🟢 Metrics 15 complexity · 6 duplication
Metric Results Complexity 15 Duplication 6
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Actionable comments posted: 2
🧹 Nitpick comments (2)
rag-agentic-dashboard/gen-agi-asi-master-bp.py (1)
1182-1197: ⚡ Quick winDerive
apiRoutesfrom actual server routes instead of hardcoding to 100Line 1196 hardcodes
apiRoutes: 100, butrag-agentic-dashboard/server.jscontains 2,074 distinct route definitions. This significant discrepancy will drift as endpoints change and can make regulator-facing counts inaccurate. Compute this count dynamically from the server routes instead of using a static placeholder.🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@rag-agentic-dashboard/gen-agi-asi-master-bp.py` around lines 1182 - 1197, The apiRoutes count is hardcoded to 100 in DOC["counts"]; replace it with a dynamic calculation that imports/reads the server's route registry (from rag-agentic-dashboard/server.js — e.g., the Express app or router instance, often referenced as app or router) and computes the number of distinct route definitions (count stack entries with a route or methods), then assign that value to DOC["counts"]["apiRoutes"] instead of the static 100; ensure you reference DOC and the apiRoutes key when updating the value so the count stays accurate as routes change.rag-agentic-dashboard/server.js (1)
23160-23227: 💤 Low valueOptional: Consider a helper function for the repeated list/detail pattern.
The eight resource types (KPIs, risk-control-matrix, regulators, workshops, data-flows, schemas, code-examples, case-studies) follow an identical list/detail pattern. Extracting this into a helper could reduce duplication and simplify future maintenance if the error response format changes.
♻️ Optional refactor: helper function
// Helper function (add near top of WP-045 section) function createResourceEndpoints(path, dataKey, singularName) { app.get(`/api/agi-asi-master-bp/${path}`, (_req, res) => res.json(AGIASIMBP[dataKey] || []) ); app.get(`/api/agi-asi-master-bp/${path}/:id`, (req, res) => { const item = (AGIASIMBP[dataKey] || []).find(x => x.id === req.params.id); if (!item) return res.status(404).json({ error: `${singularName} not found`, id: req.params.id }); res.json(item); }); } // Usage (replace lines 23160-23227) createResourceEndpoints('kpis', 'kpis', 'kpi'); createResourceEndpoints('risk-control-matrix', 'riskControlMatrix', 'risk-control row'); createResourceEndpoints('regulators', 'regulators', 'regulator'); createResourceEndpoints('workshops', 'workshops', 'workshop'); createResourceEndpoints('data-flows', 'dataFlows', 'data-flow'); createResourceEndpoints('schemas', 'schemas', 'schema'); createResourceEndpoints('code-examples', 'codeExamples', 'code-example'); createResourceEndpoints('case-studies', 'caseStudies', 'case-study');🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@rag-agentic-dashboard/server.js` around lines 23160 - 23227, The handlers for repeated list/detail routes duplicate the same pattern; extract a helper (e.g., createResourceEndpoints) that takes path, AGIASIMBP key and singular name and registers both the list and /:id routes, then replace the repeated app.get blocks for kpis, risk-control-matrix, regulators, workshops, data-flows, schemas, code-examples and case-studies with calls to createResourceEndpoints so the lookup uses (AGIASIMBP[dataKey] || []) and returns the consistent 404 payload.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@rag-agentic-dashboard/gen-agi-asi-master-bp-html.py`:
- Line 10: The code calls SRC.read_text() (used for D =
json.loads(SRC.read_text())) and a second occurrence later on, which uses the
platform default encoding; change both to explicitly specify UTF-8 by calling
SRC.read_text(encoding='utf-8') (or, for explicit file-open usages, open(...,
encoding='utf-8')) so JSON and non-ASCII text are read/written
deterministically; update the two SRC.read_text() sites (and any similar
open(...) calls) to include encoding='utf-8'.
In `@rag-agentic-dashboard/gen-agi-asi-master-bp.py`:
- Line 1200: The current call to OUT.write_text(json.dumps(DOC, indent=2))
writes Unicode-heavy JSON using the platform default encoding; change the write
to explicitly use UTF-8 and preserve non-ASCII characters by calling
Path.write_text with an explicit encoding='utf-8' and json.dumps with
ensure_ascii=False (i.e., serialize DOC with json.dumps(DOC, ensure_ascii=False,
indent=2) and pass encoding='utf-8' to OUT.write_text) so the JSON is
consistently written as UTF‑8 across environments.
---
Nitpick comments:
In `@rag-agentic-dashboard/gen-agi-asi-master-bp.py`:
- Around line 1182-1197: The apiRoutes count is hardcoded to 100 in
DOC["counts"]; replace it with a dynamic calculation that imports/reads the
server's route registry (from rag-agentic-dashboard/server.js — e.g., the
Express app or router instance, often referenced as app or router) and computes
the number of distinct route definitions (count stack entries with a route or
methods), then assign that value to DOC["counts"]["apiRoutes"] instead of the
static 100; ensure you reference DOC and the apiRoutes key when updating the
value so the count stays accurate as routes change.
In `@rag-agentic-dashboard/server.js`:
- Around line 23160-23227: The handlers for repeated list/detail routes
duplicate the same pattern; extract a helper (e.g., createResourceEndpoints)
that takes path, AGIASIMBP key and singular name and registers both the list and
/:id routes, then replace the repeated app.get blocks for kpis,
risk-control-matrix, regulators, workshops, data-flows, schemas, code-examples
and case-studies with calls to createResourceEndpoints so the lookup uses
(AGIASIMBP[dataKey] || []) and returns the consistent 404 payload.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: 0abd64df-a50a-4f00-aab5-ab7ca332fd6c
📒 Files selected for processing (5)
rag-agentic-dashboard/data/agi-asi-master-bp.jsonrag-agentic-dashboard/gen-agi-asi-master-bp-html.pyrag-agentic-dashboard/gen-agi-asi-master-bp.pyrag-agentic-dashboard/public/agi-asi-master-bp.htmlrag-agentic-dashboard/server.js
Micro-Learning Topic: Cross-site scripting (Detected by phrase)Matched on "xSS"Cross-site scripting vulnerabilities occur when unescaped input is rendered into a page displayed to the user. When HTML or script is included in the input, it will be processed by a user's browser as HTML or script and can alter the appearance of the page or execute malicious scripts in their user context. Try a challenge in Secure Code WarriorHelpful references
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WP-045 — Enterprise AGI/ASI Governance Master Reference & Implementation Blueprint
Regulator-submission-grade Master Reference & Implementation Blueprint for Fortune 500 / Global 2000 / G-SIFI financial institutions, EU-primary but globally interoperable, including a machine-parsable
<directive>block, full Annexes A-G + D/E/F, and adoption/geopolitical playbooks for 2026-2032.Counts
14 modules · 70 sections · 12 schemas · 16 code examples · 6 case studies · 24 supervisory KPIs · 12 risk-control rows · 12 regulators · 7 workshops · 6 data flows · 12 traceability rows · 7 annexes · 7-year roadmap · 100 API routes (28 distinct
/api/agi-asi-master-bp/*endpoints).Modules
Annexes
Regulatory alignment
EU AI Act 2026 (Arts 5/9/10/13/14/15/16/26/50/53/55/56/72), NIST AI RMF 1.0 + GAI Profile, ISO/IEC 42001/23894/5338/38507/27001/27701, GDPR Arts 5/6/22/25/32/35, EU DORA, Basel III/IV (BCBS 239 + Pillar 2 AI overlay), SR 11-7, PRA SS1/23 + SS2/21, FCA Consumer Duty + SYSC + SMCR, MAS FEAT + AI Verify, HKMA SPM GS-1 / GL-90, OECD AI Principles, G7 Hiroshima, COE AI Convention, FSB recommendations, US EO 14110 + NIST GAI Profile, OWASP LLM Top 10 (2025), MITRE ATLAS.
Thresholds
containmentDelta ≤ 0.04 · latentDriftAlert ≤ 0.03 · killSwitchSeconds ≤ 60 · fiduciaryCosineMin ≥ 0.92 · evidencePackMinutes ≤ 30 · incidentReportingHours ≤ 24 · multisig 3-of-5 · PQC hybrid Ed25519+ML-DSA-65 · daily Merkle anchor.
Deliverables
rag-agentic-dashboard/data/agi-asi-master-bp.json(82.7 KB)rag-agentic-dashboard/gen-agi-asi-master-bp.pyrag-agentic-dashboard/gen-agi-asi-master-bp-html.pyrag-agentic-dashboard/public/agi-asi-master-bp.html(91.2 KB; HTTP 200, 93,426 bytes)rag-agentic-dashboard/server.jswith 28 new/api/agi-asi-master-bp/*routesValidation
node -c server.jsOK · PM2rag-dashonline · 52 HTTP 200 positive checks (root, /meta, /executive-summary, /summary, /counts, /regimes, /directive, /modules, /m1-m14, /modules/M1, /sections/M1-S1, /kpis, /kpis/KPI-01, /risk-control-matrix, /risk-control-matrix/RC-01, /regulators, /regulators/REG-01, /workshops, /workshops/WS-01, /data-flows, /data-flows/DF-01, /traceability, /privacy, /deployment, /roadmap, /schemas, /schemas/decisionEnvelope, /code-examples, /code-examples/CE-01, /case-studies, /case-studies/CS-01, /annexes, /annex/a-g) and 12 HTTP 404 negative checks.Ownership / classification
Owner: CAIO + CRO + GC; co-signed by CISO, DPO, Head of Internal Audit, Head of Compliance, Head of Treasury, AI Safety Lead, Treaty Liaison, CDO, Head of MRM. Classification: CONFIDENTIAL — Board / CRO / CISO / CAIO / GC / DPO / Internal Audit / Prudential Supervisor / AI Safety Institute / Treaty Authority.
Lineage
WP-035 → WP-036 → WP-037 → WP-038 → WP-039 → WP-040 → WP-041 → WP-042 → WP-043 → WP-044 → WP-045.
Summary by CodeRabbit