AI Governance · Release Readiness · Enterprise AI Platforms · Multi-Agent Systems
Building trustworthy, auditable AI for regulated industries — healthcare, financial services, insurance, and government.
All repositories form an interconnected governance and reliability framework:
flowchart TD
GOV[🏛️ governance-playbook\nEnd-to-end governance framework]
REL[✅ release-checklist\nRelease gate CLI · pip install ai-release-checklist]
NIST[📋 nist-rmf-guide\nNIST AI RMF practitioner guide]
RELGOV[🔄 release-governance\nRelease lifecycle governance]
ACC[🔍 accountability-patterns\nAccountability design patterns]
MA[🕸️ multi-agent-governance\nMulti-agent oversight & trust]
MAOP[⚙️ agent-orchestration\nOrchestration pattern catalog]
EVAL[📊 agent-eval\nAgent evaluation dimensions]
SIM[🧪 agent-simulator\nAgent behavior simulation]
LSS[📈 lean-ai-ops\nAI Process Excellence · Lean Six Sigma]
STARTER[🚀 regulated-ai\nTemplate repo for regulated AI teams]
PRISM[⭐ ai-prism\nPRISM · Curated governance resources]
GOV --> REL
GOV --> NIST
NIST --> RELGOV
RELGOV --> REL
GOV --> ACC
ACC --> MA
MA --> MAOP
MA --> EVAL
EVAL --> SIM
SIM --> LSS
GOV --> STARTER
PRISM -.->|curates| GOV
| Area | Repository | What it solves |
|---|---|---|
| Organizational Governance | governance-playbook | End-to-end AI governance framework — policies, roles, NIST AI RMF implementation |
| NIST AI RMF | nist-rmf-guide | Practitioner guide to NIST AI RMF with EU AI Act cross-reference |
| Accountability | accountability-patterns | Design patterns for human oversight, transparency, and redress |
| Area | Repository | What it solves |
|---|---|---|
| Release Gates | release-checklist | YAML-based release checklist + airc CLI · pip install ai-release-checklist |
| Release Lifecycle | release-governance | Full release lifecycle governance — from development through retirement |
| Starter Template | regulated-ai | GitHub template: governance docs + CI gates ready to use |
| Area | Repository | What it solves |
|---|---|---|
| Multi-Agent Governance | multi-agent-governance | Oversight, trust models, and accountability for multi-agent AI |
| Orchestration | agent-orchestration | Routing, delegation, validation, and failure handling patterns |
| Agent Evaluation | agent-eval | Evaluation dimensions and scenarios for production AI agents |
| Simulation | agent-simulator | Simulate agent behavior and failure modes before deployment |
| Process Excellence | lean-ai-ops | AI Process Excellence Engine — DMAIC with Black Belt analytics |
| Area | Repository | What it solves |
|---|---|---|
| Curated Resources | ai-prism | PRISM — 50+ curated governance frameworks, tools, regulations, and communities |
# Validate AI release readiness from the command line
pip install ai-release-checklist
airc init --industry healthcare # Generate a HIPAA-aware checklist
airc validate release-checklist.yaml # Check all gates
airc report release-checklist.yaml --format markdown # Generate reportBuilding in the open. All frameworks are MIT licensed and free to use. Discussions · LinkedIn · Medium