feat(INST-AGI-MASTER-REF-WP-047) v1.0.0 — Institutional-Grade AGI/ASI & Enterprise AI Governance Master Reference (2026-2030)

WP-047 delivers a comprehensive, implementation-focused master reference for
Fortune 500, Global 2000, and G-SIFI institutions covering institutional-grade
AGI/ASI and enterprise AI governance across the 2026-2030 horizon.

Deliverables (per 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 · 14 traceability rows · 3-phase 30/60/90-day rollout
  5-year roadmap (2026-2030) · 8 audience-specific machine-readable artifact bundles
  Machine-parsable <directive> block · R1..R4 regulator-ready reports

Modules:
  M1  Multilayered Governance Pillars (Strategy/Risk/Controls/Assurance/
      Transparency/Oversight/Continuity) + Roles (RACI, SMCR SMF) + SEV
      escalation tree
  M2  Regulatory Alignment crosswalk (EU AI Act Arts 9-72 + Annex IV, NIST
      AI RMF + GAI Profile, ISO 42001/23894/5338/38507/27001/27701, GDPR
      Arts 5/6/17/22/25/32/35, FCRA/ECOA, Basel III/IV Pillar 2, SR 11-7,
      PRA SS1/23, FCA Consumer Duty + SMCR, MAS FEAT, HKMA SPM GS-1/GL-90,
      EO 14110 + OMB M-24-10, OECD, G7, FSB)
  M3  Enterprise Reference Architectures (Kafka WORM + ACL, Docker Swarm,
      Node.js + Python sidecars, Next.js explainability portal, OPA,
      Terraform golden envs + CI/CD)
  M4  Sector MRM (credit underwriting, trading agent AlphaTrade-V9
      pattern, enterprise risk, fiduciary advice, CRS-UUID-001 canonical
      cross-jurisdiction credit system)
  M5  Frontier AGI/ASI Safety (Sentinel v2.4, WorkflowAI Pro, Cognitive
      Resonance Protocol Δ_drift ≤ 4% / latent ≤ 3% / cosine ≥ 0.92,
      crisis simulations, Minimum Viable AGI Governance Stack — MVAGS)
  M6  Global AI/Compute Governance Consortia (ICGC, GACRA, GASO, GFMCF,
      GAICS, GAIVS, GACP, GATI, GACMO, FTEWS, GAI-SOC, GAIGA, GACRLS,
      GFCO, GAID, GASCF) with firm obligations matrix
  M7  Enterprise AI Governance Hub + AI Safety Report Generator +
      WorkflowAI Pro (prompt registry, RBAC, audit, tracing, PDF export,
      Firestore versioning, DAG visualization, Temporal.io workflows)
  M8  Advanced Prompt Engineering Guide (foundations → structured output
      → retrieval/tool-use → judges/guardrails → evals → lifecycle)
  M9  Civilizational Corpus (Constitution, Covenant Codex, Renewal Atlas,
      Continuity Codex, Closing Charge, Kill-Switch Validation, Systemic
      Risk Sim Playbook, Interop Treaty, Operating Model, Pilot Roadmap,
      Coalition Activation, Institutional Adoption)
  M10 Regulator-Ready Reports R1..R4 with <title>/<abstract>/<content>
      tags (R1 Navigating Complexities of AI Safety and Global
      Governance · R2 Technical Strategies for AI Alignment · R3 Key AI
      Safety Challenges · R4 Navigating the AI Safety Landscape)
  M11 Enterprise Implementation Blueprints (CI/CD policy gates, K8s/Kafka/
      OPA stacks, Terraform golden envs, Kafka ACL, WORM, PQC WORM,
      zk-SNARK access, OPA Rego, deterministic replay, drift analysis,
      red teaming, Cognitive Resonance, SEV-0..SEV-3 IR checklists)
  M12 Tiered (T1/T2/T3) Rollout Model with re-classification and frontier
      escalation triggers
  M13 30/60/90-Day Enterprise Plan with Day-90 MVAGS production exit
      criteria and stakeholder sign-off
  M14 2026-2030 Multi-Year Roadmap + Machine-Readable Artifacts per
      audience (Engineering, Legal, C-Suite, Board, Regulator, EA, AI
      Platform Engineering, AI Safety Research)

Machine-parsable <directive id=INST-AGI-MASTER-REF-WP-047 …>:
  scope     Enterprise|Frontier|ASI-Precursor|Sectoral-Credit|Sectoral-Trading|Fiduciary
  pillars   Strategy|Risk|Controls|Assurance|Transparency|Oversight|Continuity
  reports   R1..R4 with <title>/<abstract>/<content>
  signing   ML-DSA-44+ML-DSA-65 hybrid · Ed25519 · Sigstore+SLSA-L3+
            Kafka+ObjectLock+MerkleAnchor+PQC
  consortia ICGC|GACRA|GASO|GFMCF|GAICS|GAIVS|GACP|GATI|GACMO|FTEWS|
            GAI-SOC|GAIGA|GACRLS|GFCO|GAID|GASCF
  thresholds
    piiLeakage 0.0001 · SEV-0 kill p95 ≤ 60s / BMC ≤ 5 min
    fiduciaryCosine ≥ 0.92 · Δ_drift ≤ 4% · latent drift ≤ 3%
    judgeLLM κ ≥ 0.9 · red-team T1 ≥ 95% · Annex IV ≤ 30 min
    gradient anomaly z ≥ 3.5 · honeypot engagement > 10s → SEV-0

Files added:
  rag-agentic-dashboard/gen-inst-agi-master-ref.py        (~82 KB generator)
  rag-agentic-dashboard/gen-inst-agi-master-ref-html.py   (~12 KB renderer)
  rag-agentic-dashboard/data/inst-agi-master-ref.json     (89.7 KB data)
  rag-agentic-dashboard/public/inst-agi-master-ref.html   (91.4 KB dashboard;
                                                            93,594 bytes served)
  rag-agentic-dashboard/server.js                         (+29 REST routes
                                                            under /api/inst-agi-master-ref/*)

Validation:
  node -c server.js → SYNTAX OK
  pm2 restart rag-dash → online (pid 2077584)
  Positive endpoint checks: 42 × HTTP 200
  Negative endpoint checks: 7 × HTTP 404
  Dashboard: GET /inst-agi-master-ref.html → HTTP 200 (93,594 bytes)

Builds on WP-035..WP-046 lineage.

Author: OneFineStarstuff