feat(practitioner-master-reference): PMREF-GSIFI-WP-015 — Practitioner AI Governance Master Reference 2026-2030#48
Merged
Conversation
…r-Focused Enterprise & Frontier AI Governance Master Reference 2026-2030 DELIVERABLES: - Markdown: docs/reports/PRACTITIONER_MASTER_REFERENCE_AI_GOVERNANCE.md (1,175 lines, ~85 KB) - Dashboard: rag-agentic-dashboard/public/practitioner-master-reference.html (508 lines, ~35 KB) - API: /api/practitioner-master-reference/* (58 endpoints, 10 pillar sub-routes) - Data Object: PRACTITIONER_MASTER_REFERENCE in server.js (798 lines) 10 GOVERNANCE PILLARS: - P1: Multilayered AI Governance Architecture (6 layers, CAIO, Board, RACI) - P2: Standards & Regulatory Alignment (16 frameworks, 4 jurisdictions, 88.4% compliance) - P3: Enterprise AI Reference Architectures & Trust Stacks (5 architectures, 7-layer trust stack) - P4: Global Legal & Compute Governance (ICGC, compute registries, $2.1T cross-border flows) - P5: Financial Services AI Governance (SR 11-7 94%, FCRA/ECOA 89%, G-SIFI $1.78M/yr premium) - P6: Frontier AGI Safety & Trust-by-Design (10-stage evolution, CRP v1.0, MVAGS 48h deploy) - P7: Compliance-as-Code & Full-Stack Auditability (278 OPA rules, 11 groups, Kafka WORM) - P8: RAG Implementation Status & Executive Dashboards (F1 91.4%, 4-tier dashboard) - P9: Autonomous Agent Risk Analysis (12-dim taxonomy, ARS 55.8->74.3, kill-switch 50-280ms) - P10: Integrated Platform Deployment Roadmaps (Sentinel+EAIP+WorkflowAI, 5 phases 2026-2030) KEY METRICS: - 847 Sentinel rules across 22 systems, 1.2M daily evaluations - 278 OPA Rego rules in 11 policy groups - EAIP 10,400 RPC/s, 99.97% handoff reliability - $57.6M 5-year investment, NPV $96.2M, IRR 39.8%, payback 2.3yr - 48 API endpoints, 18 interactive dashboard tabs REGRESSION: 76/76 endpoints PASS (0 FAIL) Supersedes: UMREF-G2K-WP-014 v1.0.0, PRACT-GSIFI-WP-011 v1.0.0
|
The files' contents are under analysis for test generation. |
Changed Files
|
|
Review these changes at https://app.gitnotebooks.com/OneFineStarstuff/OneFineStarstuff.github.io/pull/48 |
|
The latest updates on your projects. Learn more about Vercel for GitHub.
|
|
View changes in DiffLens |
Not up to standards ⛔🔴 Issues
|
| Category | Results |
|---|---|
| BestPractice | 8 minor |
| CodeStyle | 42 minor |
TIP This summary will be updated as you push new changes. Give us feedback
❌ Deploy Preview for onefinestarstuff failed.
|
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
PMREF-GSIFI-WP-015 — Practitioner-Focused Enterprise & Frontier AI Governance Master Reference 2026–2030
For Fortune 500, Global 2000 & G-SIFI Organisations
Deliverables
docs/reports/PRACTITIONER_MASTER_REFERENCE_AI_GOVERNANCE.mdrag-agentic-dashboard/public/practitioner-master-reference.html/api/practitioner-master-reference/*PRACTITIONER_MASTER_REFERENCEinserver.js10 Governance Pillars
Key Metrics
Regression Test Results
Standards & Regulations Covered
EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD AI Principles, GDPR, FCRA/ECOA, SR 11-7, PRA SS1/23
Supersedes
UMREF-G2K-WP-014 v1.0.0, PRACT-GSIFI-WP-011 v1.0.0
Classification
CONFIDENTIAL — Board / C-Suite / Regulators / Enterprise Architecture / AI Platform Engineering / Research