feat(TIER13-FULLSTACK-WP-041) v1.0.0 — Full-Stack AI Governance Ontology (Tier 1-3) for G-SIFIs (2026-2030)#76
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…ogy (Tier 1-3) for G-SIFIs (2026-2030)
Adds WP-041: a Tier 1-3 enterprise blueprint that collapses the full-stack
AI governance ontology for G-SIFIs into a tractable, implementation-ready
architecture spanning operational engineering, enterprise/supervisory, and
civilizational/meta-cosmic planes.
Synthesizes 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, and WP-040 ENT-AGI-REF-IMPL into a single tiered
ontology with bidirectional traceability — atomic OPA rules <-> regime
articles <-> SACIL principles <-> UGL axioms.
Three Tiers:
T1 Operational/Engineering — CI/CD policy gates (G0..G4), K8s+Gatekeeper,
Kafka WORM topics+ACL, OPA/Rego library, Terraform golden envs.
T2 Enterprise/Supervisory — Basel-style AI stress tests, Control Tower,
AI Governance Ledger (AIGL), autonomous supervisory agents (ASA),
JSOP negotiation protocol, AI treaty enforcement.
T3 Civilizational/Meta-Cosmic — SACIL (12 principles), MCIGL (federated
intergovernmental ledger), UGL (10 axioms, category-theoretic).
Modules (14):
M1 Full-Stack Ontology Collapse (Tier 1 -> Tier 3)
M2 Tier 1 CI/CD Policy Gates (G0..G4)
M3 Tier 1 K8s + Kafka + OPA Runtime Stack
M4 Tier 1 Terraform-Deployed Golden Environments
M5 Tier 1 OPA/Rego Policy Library (48 policies)
M6 Tier 2 Basel-Style AI Stress Tests & Capital Overlay
M7 Tier 2 AI Governance Control Tower
M8 Tier 2/3 Global AI Governance Ledger + ZK Streaming Attestations
M9 Tier 2 Autonomous Supervisory Agents & NP-1 Negotiation Protocol
M10 Tier 2/3 AI Treaty Enforcement & Legal Harmonization
M11 Tier 3 SACIL — Sovereign AI Civilization Layer (12 principles)
M12 Tier 3 MCIGL — Multi-Civilizational Intergovernmental Ledger
M13 Tier 3 UGL — Universal Governance Lattice (10 axioms)
M14 Phased Roadmap, Resource Plan & Maturity Model (M0..M5)
Standards & Regimes Aligned:
EU AI Act 2026 (High-Risk + GPAI Arts 53/55), NIST AI RMF 1.0,
ISO/IEC 42001/23894/5338, GDPR Art 22/25/35, Basel III/IV (BCBS 239),
SR 11-7, PRA SS1/23, FCA Consumer Duty, MAS FEAT, HKMA, OECD AI
Principles, US EO 14110 + OMB M-24-10, FCRA/ECOA, GLBA.
Counts:
- 14 modules, 56 sections
- 12 schemas, 14 code examples, 6 case studies
- 92 API routes (/api/tier13-fullstack/*)
- 380 controls, 22 supervisory KPIs
- 48 OPA policies (12 catalogued sample), 18 treaty clauses (6 sample)
Code Examples (14):
CE-01 OPA require_model_card, CE-02 OPA fcra_adverse_action,
CE-03 Gatekeeper K8sRequireSidecarGov, CE-04 Terraform WORM Object Lock,
CE-05 GitHub Actions G3 fairness/stress gate,
CE-06 Hybrid Ed25519+Dilithium3 signer,
CE-07 Kafka WORM topic + ACL config,
CE-08 TLA+ human-oversight non-bypass,
CE-09 Lean 4 reversibility => rollback obligation,
CE-10 ZK-SNARK fairness circuit (gnark),
CE-11 JSOP message envelope,
CE-12 React KPI gauge,
CE-13 MCIGL Rekor anchor,
CE-14 OPA bundle manifest with SACIL/UGL metadata.
Case Studies (6):
CS-01 EU G-SIB Tier-1 to Tier-2 in 18 months,
CS-02 US BHC SR 11-7 federated validation via MCIGL,
CS-03 UK SMF24+PRA SS1/23 joint Tier-2 drill,
CS-04 Cross-border fairness EU+SG+HK ZK attestation,
CS-05 Frontier T3 capability spike, containment 42s,
CS-06 Climate-transition AI drift, capital overlay 3 BD.
Headline KPIs (22):
Decision-traceability >=99.95%, false-negative <=0.5%,
cross-jurisdiction drift reconciliation <=24h,
interpretability coverage >=90%, capital-overlay responsiveness <=5 BD,
RAG faithfulness >=0.92, blocked-harm >=99.5%, PII leakage <=0.01%,
AIR >=0.85, kill-switch <=60s, MCIGL attestation p95 <=2s,
UGL conformance >=0.90 high-risk avg, SACIL coverage >=95%,
quantum-safe coverage 100% by 2030.
Traceability:
Each OPA rule carries control_id + regime_refs[] + sacilPrinciple +
uglAxiom + treaty (where applicable). Sample mappings:
- EU AI Act Art 14 -> CTL-L3-018 -> POL-RT-018 -> SACIL P2 -> UGL A1 -> TC-06
- GDPR Art 22 -> CTL-L3-011 -> POL-RT-011 -> SACIL P1 -> UGL A1 -> TC-06
- FCRA \xc2\xa7615(a) -> CTL-L3-007 -> POL-RT-007 -> SACIL P5 -> UGL A6
- Basel III BCBS 239 -> CTL-L2-009 -> POL-IAC-009 -> SACIL P11 -> UGL A2
- SR 11-7 III.B -> CTL-L3-022 -> POL-T2-022 -> SACIL P10 -> UGL A9
Deliverables (rag-agentic-dashboard/):
- data/tier13-fullstack.json (52 KB)
- gen-tier13-fullstack.py (JSON generator)
- gen-tier13-fullstack-html.py (HTML renderer)
- public/tier13-fullstack.html (54 KB SPA dashboard)
- server.js: 28 occurrences, 92 /api/tier13-fullstack/* endpoints
Validation:
- node -c server.js: SYNTAX_OK
- PM2 rag-dash online (PID 2034876)
- HTTP 200 on all 14 module roots and 15 sampled endpoints
- 9 negative-path checks return 404
- Lookup tests confirm M1 sections=4, M11-S1 SACIL principles, KPI-20
UGL conformance >=0.90, T1 OPA policies count 10
- HTML dashboard HTTP 200, 55,685 bytes
Audience: Group CEO + CAIO (co-signed by CRO, CISO, GC, DPO, Internal
Audit, Treaty Liaison), Boards & Audit Committees, prudential supervisors
(ECB/Fed/PRA/MAS/HKMA), Treaty Authority, AI Safety Institutes,
enterprise architects, AI platform engineers, AI safety researchers.
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Review these changes at https://app.gitnotebooks.com/OneFineStarstuff/OneFineStarstuff.github.io/pull/76 |
Reviewer's GuideAdds WP-041 (TIER13-FULLSTACK) support to the rag-agentic-dashboard by introducing a generated JSON knowledge artifact, an HTML dashboard renderer, and a comprehensive set of REST API routes to expose the ontology, plus wiring it into the existing Node server. Sequence diagram for a client retrieving a Tier13 module via the new APIsequenceDiagram
actor Client
participant ExpressApp as Express_app
participant Tier13Routes as Tier13_fullstack_routes
participant Tier13Find as tier13Find_helper
participant Tier13Json as tier13_fullstack_json
Client->>ExpressApp: HTTP GET /api/tier13-fullstack/modules/M3
ExpressApp->>Tier13Routes: Route_match
Tier13Routes->>Tier13Json: Read modules
Tier13Routes->>Tier13Find: tier13Find(modules, "M3")
Tier13Find-->>Tier13Routes: Module_M3_object
Tier13Routes-->>Client: 200 OK JSON(Module_M3)
Client->>ExpressApp: HTTP GET /api/tier13-fullstack/kpis/KPI-20
ExpressApp->>Tier13Routes: Route_match
Tier13Routes->>Tier13Json: Read kpis
Tier13Routes->>Tier13Find: tier13Find(kpis, "KPI-20")
Tier13Find-->>Tier13Routes: Kpi_object
Tier13Routes-->>Client: 200 OK JSON(Kpi_object)
Class diagram for core TIER13-FULLSTACK ontology structuresclassDiagram
class Tier13Document {
+string docRef
+string version
+string horizon
+string classification
+string title
+string subtitle
+string owner
+string apiPrefix
+string[] buildsOn
+TierMap tiers
+string[] regimes
+Counts counts
+Module[] modules
+SchemaDef[] schemas
+CodeExample[] codeExamples
+CaseStudy[] caseStudies
+Kpi[] kpis
+OpaPolicy[] opaPolicies
+TreatyClause[] treatyClauses
+Traceability traceability
+string[] deploymentConsiderations
+ExecutiveSummary executiveSummary
}
class TierMap {
+string T1
+string T2
+string T3
}
class Counts {
+int tiers
+int modules
+int sections
+int schemas
+int codeExamples
+int caseStudies
+int apiRoutes
+int controls
+int kpis
+int opaPolicies
+int treatyClauses
}
class Module {
+string id
+string title
+string summary
+Section[] sections
}
class Section {
+string id
+string title
+string[] content
+string[] diagram
+string[] regime_refs
}
class SchemaDef {
+string id
+string title
+string[] fields
}
class CodeExample {
+string id
+string title
+string lang
+string snippet
}
class CaseStudy {
+string id
+string title
+string summary
+string[] outcomes
}
class Kpi {
+string id
+string name
+string target
}
class OpaPolicy {
+string id
+string tier
+string domain
+string name
+string[] regimeRefs
+string sacil
+string ugl
}
class TreatyClause {
+string id
+string name
+string[] regimes
+string[] ugl
}
class Traceability {
+TraceabilityExample[] examples
}
class TraceabilityExample {
+string regime
+string control
+string opaPolicy
+string sacil
+string ugl
+string treaty
}
class ExecutiveSummary {
+string purpose
+string approach
+string deliverables
+string[] outcomes
}
Tier13Document --> TierMap
Tier13Document --> Counts
Tier13Document --> Module
Tier13Document --> SchemaDef
Tier13Document --> CodeExample
Tier13Document --> CaseStudy
Tier13Document --> Kpi
Tier13Document --> OpaPolicy
Tier13Document --> TreatyClause
Tier13Document --> Traceability
Tier13Document --> ExecutiveSummary
Module --> Section
Traceability --> TraceabilityExample
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Caution Review failedPull request was closed or merged during review 📝 WalkthroughWalkthroughIntroduces a complete Full-Stack AI Governance Ontology system for Tier 1–3 enterprises, comprising a 1,400-line JSON blueprint defining 14 modules, automated Python generators for JSON and HTML outputs, a static HTML dashboard, and Express API routes serving the governance data across multiple endpoints. ChangesFull-Stack AI Governance Ontology
Estimated Code Review Effort🎯 4 (Complex) | ⏱️ ~60 minutes Possibly Related PRs
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Hey - I've left some high level feedback:
- In server.js all
/api/tier13-fullstack/*routes are defined with a hardcoded prefix; consider factoring this into a singleconst base = '/api/tier13-fullstack'(or reading from the JSONapiPrefix) to avoid drift if the base path ever changes. - The HTML renderer hardcodes some data-specific labels (e.g.,
Modules (14)andsample ... of 48) instead of deriving them fromD['counts'], which risks UI mismatches if the underlying JSON is updated; using thecountsmetadata throughout would keep the dashboard consistent with the data source.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- In server.js all `/api/tier13-fullstack/*` routes are defined with a hardcoded prefix; consider factoring this into a single `const base = '/api/tier13-fullstack'` (or reading from the JSON `apiPrefix`) to avoid drift if the base path ever changes.
- The HTML renderer hardcodes some data-specific labels (e.g., `Modules (14)` and `sample ... of 48`) instead of deriving them from `D['counts']`, which risks UI mismatches if the underlying JSON is updated; using the `counts` metadata throughout would keep the dashboard consistent with the data source.Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
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| Category | Results |
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| UnusedCode | 1 medium |
| BestPractice | 3 minor |
| Documentation | 4 minor |
| ErrorProne | 4 medium |
| CodeStyle | 84 minor |
| Complexity | 1 medium 1 minor |
| Performance | 1 medium |
| Comprehensibility | 1 minor |
🟢 Metrics 14 complexity · 0 duplication
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WP-041 — Full-Stack AI Governance Ontology (Tier 1-3) for G-SIFIs
docRef: TIER13-FULLSTACK-WP-041 Version: 1.0.0 Horizon: 2026-2030
Classification: CONFIDENTIAL — Board / CRO / CISO / CAIO / Prudential Supervisor / Treaty Authority / AI Safety Institute
Owner: Group CEO + CAIO — co-signed by CRO, CISO, GC, DPO, Head of Internal Audit, Treaty Liaison
Collapses the full-stack AI-governance ontology for G-SIFIs into a tractable Tier 1-3 enterprise blueprint with bidirectional traceability — atomic OPA rules ↔ regime articles ↔ SACIL principles ↔ UGL axioms.
Three-Tier Ontology
Modules (14)
Standards Alignment
EU AI Act 2026 (High-Risk + GPAI Arts 53/55) · NIST AI RMF 1.0 · ISO/IEC 42001/23894/5338 · GDPR Art 22/25/35 · Basel III/IV (BCBS 239) · SR 11-7 · PRA SS1/23 · FCA Consumer Duty · MAS FEAT · HKMA · OECD AI Principles · US EO 14110 + OMB M-24-10 · FCRA/ECOA · GLBA
Counts
/api/tier13-fullstack/*)Sample Traceability (Regime → Control → OPA → SACIL → UGL → Treaty)
Code Examples (14)
OPA require_model_card · OPA fcra_adverse_action · Gatekeeper K8sRequireSidecarGov · Terraform WORM Object Lock · GitHub Actions G3 fairness/stress gate · Hybrid Ed25519+Dilithium3 signer · Kafka WORM topic + ACL · TLA+ human-oversight non-bypass · Lean 4 reversibility ⇒ rollback · ZK-SNARK fairness circuit (gnark) · JSOP message envelope · React KPI gauge · MCIGL Rekor anchor · OPA bundle manifest with SACIL/UGL metadata
Headline KPIs (22)
Decision-traceability ≥99.95% · false-negative ≤0.5% · cross-jurisdiction drift reconciliation ≤24h · interpretability ≥90% · capital-overlay responsiveness ≤5 BD · RAG faithfulness ≥0.92 · blocked-harm ≥99.5% · PII leakage ≤0.01% · AIR ≥0.85 · kill-switch ≤60s · MCIGL attestation p95 ≤2s · UGL conformance ≥0.90 · SACIL coverage ≥95% · quantum-safe coverage 100% by 2030
Deliverables (rag-agentic-dashboard/)
data/tier13-fullstack.json(52 KB)gen-tier13-fullstack.py(JSON generator)gen-tier13-fullstack-html.py(HTML renderer)public/tier13-fullstack.html(54 KB SPA dashboard)server.js: 92/api/tier13-fullstack/*endpointsValidation
node -c server.js: SYNTAX_OKrag-dashonline (PID 2034876)Audience
Group CEO + CAIO (co-signed by CRO, CISO, GC, DPO, Internal Audit, Treaty Liaison), Boards & Audit Committees, prudential supervisors (ECB/Fed/PRA/MAS/HKMA), Treaty Authority, AI Safety Institutes, enterprise architects, AI platform engineers, AI safety researchers.
Synthesis Lineage
WP-035 → WP-036 → WP-037 → WP-038 → WP-039 → WP-040 → WP-041
Summary by Sourcery
Add Tier 1–3 full-stack AI governance ontology content for WP-041 and expose it via new API endpoints and an HTML dashboard within the rag-agentic-dashboard app.
New Features:
Enhancements:
Summary by CodeRabbit
Release Notes