Add Enterprise AGI/ASI governance blueprint, machine-readable artifacts, validator, and CI enforcement

.github/workflows/governance-artifacts-ci.yml

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+name: Governance Artifacts CI
+
+on:
+  pull_request:
+    paths:
+      - 'ENTERPRISE_AGI_ASI_GOVERNANCE_BLUEPRINT_2026_2030.md'
+      - 'governance_blueprint/**'
+      - '.github/workflows/governance-artifacts-ci.yml'
+  push:
+    branches: [ main, master ]
+    paths:
+      - 'ENTERPRISE_AGI_ASI_GOVERNANCE_BLUEPRINT_2026_2030.md'
+      - 'governance_blueprint/**'
+      - '.github/workflows/governance-artifacts-ci.yml'
+
+jobs:
+  validate-governance-artifacts:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Run governance validation suite
+        run: python3 governance_blueprint/validation/run_validation_suite.py --quiet --json-report governance-artifact-validation-report.json --suite-report governance-validation-suite-report.json
+
+      - name: Show validation report
+        run: |
+          cat governance-artifact-validation-report.json
+          cat governance-validation-suite-report.json
+
+      - name: Upload validation report
+        uses: actions/upload-artifact@v4
+        with:
+          name: governance-validation-reports
+          path: |
+            governance-artifact-validation-report.json
+            governance-validation-suite-report.json

.pre-commit-config.yaml

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+repos:
+  - repo: local
+    hooks:
+      - id: governance-validation-suite
+        name: governance validation suite
+        entry: python3 governance_blueprint/validation/run_validation_suite.py --skip-selftest --quiet
+        language: system
+        pass_filenames: false
+        files: '^(governance_blueprint/|ENTERPRISE_AGI_ASI_GOVERNANCE_BLUEPRINT_2026_2030\.md)'

Makefile

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+PYTHON ?= python3
+
+.PHONY: gov-manifest gov-manifest-check gov-validate gov-validate-json gov-lint gov-dashboard-check gov-selftest gov-suite gov-suite-json gov-suite-report gov-suite-ci gov-clean
+
+gov-manifest:
+	$(PYTHON) governance_blueprint/validation/generate_artifact_manifest.py
+
+gov-manifest-check:
+	$(PYTHON) governance_blueprint/validation/generate_artifact_manifest.py --check
+
+gov-validate:
+	$(PYTHON) governance_blueprint/validation/validate_artifacts.py
+
+gov-validate-json:
+	$(PYTHON) governance_blueprint/validation/validate_artifacts.py --json
+
+gov-lint:
+	$(PYTHON) governance_blueprint/validation/lint_python_sources.py
+
+gov-dashboard-check:
+	$(PYTHON) governance_blueprint/validation/validate_dashboard_links.py
+
+gov-selftest:
+	$(PYTHON) governance_blueprint/validation/selftest_validate_artifacts.py
+	$(PYTHON) governance_blueprint/validation/selftest_run_validation_suite.py
+
+gov-suite:
+	$(PYTHON) governance_blueprint/validation/run_validation_suite.py
+
+gov-suite-json:
+	$(PYTHON) governance_blueprint/validation/run_validation_suite.py --json-report governance-artifact-validation-report.json
+	@echo "Wrote governance-artifact-validation-report.json"
+
+gov-suite-report:
+	$(PYTHON) governance_blueprint/validation/run_validation_suite.py --json-report governance-artifact-validation-report.json --suite-report governance-validation-suite-report.json
+	@echo "Wrote governance-artifact-validation-report.json and governance-validation-suite-report.json"
+
+gov-suite-ci:
+	$(PYTHON) governance_blueprint/validation/run_validation_suite.py --quiet --json-report governance-artifact-validation-report.json --suite-report governance-validation-suite-report.json
+	@echo "Wrote governance-artifact-validation-report.json and governance-validation-suite-report.json (quiet mode)"
+
+gov-clean:
+	$(PYTHON) -c "from pathlib import Path; import shutil; report=Path('governance-artifact-validation-report.json'); suite=Path('governance-validation-suite-report.json'); report.exists() and report.unlink(); suite.exists() and suite.unlink(); [shutil.rmtree(p) for p in Path('governance_blueprint/validation').rglob('__pycache__') if p.is_dir()]"

governance_blueprint/artifact_manifest.json

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+{
+  "package": "enterprise_agi_asi_governance_blueprint",
+  "version": "1.3.1",
+  "generated_utc": "2026-04-27T06:11:04Z",
+  "artifacts": {
+    "control_mapping_matrix.csv": "8af4170e62e6aec3c12f3f554d29fe31e6c59c196cd9b3e1590f1238597ce228",
+    "evidence_event_schema.json": "7c84f8fce1cefeff08308a2763c086eb4ede05881881cd53c484e879df04196a",
+    "opa/release_gate.rego": "bd117bddd2c77a0fd5cc4741aa6805b6f1f711d2baa5732ca037ea4db7b60c43",
+    "roadmap_2026_2030.yaml": "35132b486b360d91ceab94e7949278c755a28dbab0cccf64e0b3a776d7dab485",
+    "validation/validate_artifacts.py": "0908bb44ecf2b209861fb3fe0259bad2b652d94b1f6c50c45592b074f52848e0",
+    "validation/selftest_validate_artifacts.py": "50414aa4ecf39166268d76ab0363ad2ec9ac32cde6b27ae5c631764fd7bce29b",
+    "validation/generate_artifact_manifest.py": "654479289df4a57ab58288adcbb5c9e23861f3b3a6e4d524b8214bb8c992d060",
+    "validation/run_validation_suite.py": "4c7038c4d3da1d6fb3f4c43bddd5b2237856b90bd568a17d03a1d16cfc904781",
+    "validation/selftest_run_validation_suite.py": "2f987933769c0530eaa7ad51a0454781e8bd90bb700c120219dae5a96645adbe",
+    "validation/lint_python_sources.py": "52b36b1427679624fd9778dc93cb7b318b4c882930e78c0947a37d5185dafae9",
+    "validation/validate_dashboard_links.py": "e854e2c61ac6e31f880fce8e28c6ed95856d13a85fdfdbcf124df74925b1461a"
+  }
+}

governance_blueprint/control_mapping_matrix.csv

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+control_family,control_id,description,eu_ai_act_anchor,nist_ai_rmf_anchor,iso_42001_anchor,financial_anchor,evidence_artifacts,control_owner,review_frequency
+Governance & accountability,AIGOV-01,Board-approved AI governance charter and accountability model,Governance/accountability obligations,Govern,Leadership & planning controls,SR 11-7 governance + SMCR,Board minutes|charter|RACI,CRO/CAIO,Quarterly
+Inventory & tiering,AIGOV-02,Enterprise inventory and risk tiering for all AI systems,Risk classification/high-risk scoping,Map,Context & risk assessment controls,PRA/FCA model inventory expectations,Inventory export|tier rationale logs,Model Risk,Monthly
+Data governance,AIGOV-03,Lawful basis and lineage for training/serving datasets,Logging/traceability dependencies,Map+Measure,Operational data controls,GDPR + MAS/HKMA data controls,DPIA|TIA|lineage graph,CDO/Privacy,Monthly
+Validation & challenge,AIGOV-04,Independent validation before high-risk deployment,Conformity/performance support obligations,Measure+Manage,Evaluation & monitoring controls,SR 11-7 independent validation,Validation report|challenger tests,Model Validation,Per release
+Explainability & oversight,AIGOV-05,Human oversight and adverse-action explainability controls,Human oversight/transparency,Govern+Manage,Human-in-the-loop controls,FCRA/ECOA + Consumer Duty,Explanation logs|override audit,Business Owner,Per release
+Monitoring & incident response,AIGOV-06,Continuous monitoring with incident escalation workflows,Post-market monitoring/incident handling,Measure+Manage,Incident handling and improvement,Operational resilience expectations,Incident timeline|postmortem|notifications,SRE/CISO,Continuous
+Third-party & GPAI,AIGOV-07,Supplier assurance and contractual auditability,GPAI provider/deployer dependencies,Govern+Map,External provider controls,Outsourcing/third-party risk guidance,Contracts|assessments|exit plan,TPRM,Quarterly

governance_blueprint/evidence_event_schema.json

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+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "title": "AI Governance Evidence Event",
+  "type": "object",
+  "required": [
+    "event_id",
+    "timestamp_utc",
+    "event_type",
+    "model_id",
+    "model_version",
+    "risk_tier",
+    "policy_bundle_hash",
+    "trace_id",
+    "jurisdiction_code"
+  ],
+  "properties": {
+    "event_id": { "type": "string", "description": "UUID for immutable event identity." },
+    "timestamp_utc": { "type": "string", "format": "date-time" },
+    "event_type": {
+      "type": "string",
+      "enum": [
+        "model_registered",
+        "validation_approved",
+        "release_approved",
+        "inference_executed",
+        "override_recorded",
+        "incident_opened",
+        "incident_closed"
+      ]
+    },
+    "model_id": { "type": "string" },
+    "model_version": { "type": "string" },
+    "risk_tier": { "type": "integer", "minimum": 0, "maximum": 4 },
+    "policy_bundle_hash": { "type": "string" },
+    "trace_id": { "type": "string" },
+    "request_id": { "type": "string" },
+    "decision_context": { "type": "string" },
+    "explanation_reference": { "type": "string" },
+    "human_override_flag": { "type": "boolean" },
+    "override_reason_code": { "type": "string" },
+    "confidence": { "type": "number", "minimum": 0, "maximum": 1 },
+    "latency_ms": { "type": "number", "minimum": 0 },
+    "jurisdiction_code": { "type": "string" }
+  },
+  "additionalProperties": false
+}

governance_blueprint/opa/release_gate.rego

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+package aigov.release
+
+# Deny by default.
+default allow = false
+
+# Baseline requirements for all models.
+baseline_requirements {
+  input.model_card_exists
+  input.security_scan_passed
+  input.policy_bundle_hash_approved
+}
+
+# Low/medium risk release path.
+allow {
+  input.risk_tier <= 2
+  baseline_requirements
+}
+
+# High-risk release path.
+allow {
+  input.risk_tier >= 3
+  baseline_requirements
+  input.independent_validation_approved
+  input.legal_compliance_approved
+  input.explainability_test_passed
+  input.human_oversight_plan_approved
+}
+
+# Additional controls for frontier/special risk systems.
+allow {
+  input.risk_tier == 4
+  baseline_requirements
+  input.independent_validation_approved
+  input.legal_compliance_approved
+  input.explainability_test_passed
+  input.human_oversight_plan_approved
+  input.safety_case_approved
+  input.containment_controls_verified
+  input.executive_signoff
+}

governance_blueprint/roadmap_2026_2030.yaml

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+program: enterprise_agi_asi_governance
+version: 1.0
+horizon: 2026-2030
+phases:
+  - name: foundation
+    window: "2026-Q2 to 2026-Q4"
+    objectives:
+      - Establish policy framework and control taxonomy
+      - Complete AI inventory and tiering
+      - Deploy minimum CI/CD compliance-as-code gates
+      - Enable immutable evidence logging baseline
+    exit_criteria:
+      - "100% production AI systems inventoried and tiered"
+      - "Tier 3+ systems independently validated"
+      - "Board-approved AI risk appetite ratified"
+  - name: industrialization
+    window: "2027"
+    objectives:
+      - Scale control automation across material business lines
+      - Implement supplier/GPAI assurance program
+      - Deploy explainability UX for regulated decisions
+      - Run regulator-inclusive tabletop exercises
+    exit_criteria:
+      - ">90% policy controls continuously monitored"
+      - "Regulator evidence packs generated in <72h"
+  - name: advanced_assurance
+    window: "2028"
+    objectives:
+      - Integrate frontier capability thresholding
+      - Deploy containment and safety-case workflow
+      - Complete external assurance against ISO/IEC 42001
+    exit_criteria:
+      - "Tier 4 systems require approved safety case"
+      - "End-to-end control tests reproducible"
+  - name: resilience_and_advantage
+    window: "2029-2030"
+    objectives:
+      - Introduce adaptive governance with human approval
+      - Improve cross-border supervisory evidence interoperability
+      - Embed AGI discontinuity scenario planning
+    exit_criteria:
+      - "Stable audit outcomes while AI portfolio scales"
+      - "Reduced governance cost per model with higher control efficacy"
+workstreams:
+  - governance_and_policy
+  - model_risk_and_validation
+  - safety_and_containment
+  - platform_controls_and_evidence
+  - third_party_and_gpai_assurance
+  - supervisory_engagement