Play 99
Enterprise AI Governance Hub
Very High✅ Ready
Central control plane for all AI models, agents, and APIs across an enterprise.
Central control plane for all AI models, agents, and APIs across an enterprise. Model registry with approval gates, policy enforcement via Azure Policy, cost attribution dashboards, safety monitoring, and regulatory compliance tracking for SOX, EU AI Act, and ISO 42001.
Architecture Pattern
Governance hub: model registration - approval gates - policy enforcement - cost attribution - safety monitoring - compliance reporting
Azure Services
Azure API ManagementAzure PolicyAzure MonitorAzure Cosmos DBAzure Machine LearningAzure Key Vault
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Governance Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (247 lines), evaluate (104 lines), tune (258 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with OpenAI key input + envFile
TuneKit (AI Config)
- config/openai.json - governance analysis and compliance prompts
- config/governance.json - approval thresholds, policy rules, cost models
- config/guardrails.json - compliance coverage minimums, safety monitoring sensitivity
- evaluation/eval.py - Policy compliance 100%, Cost attribution accuracy >98%
Tuning Parameters
Approval gate thresholdsPolicy enforcement rulesCost attribution modelSafety monitoring sensitivityCompliance framework selection
Estimated Cost
Dev/Test
$150-350/mo
Production
$5K-20K/mo