AI Risk & Governance Consultant
Independent risk and readiness reviews for GenAI, RAG and agentic systems.
Architecture → Risk → Consequences → Controllability
I focus on whether system architecture, runtime behaviour, retrieval controls, approval and execution boundaries, and available evidence support a defensible readiness decision.
- RAG retrieval and source boundaries
- agent authority, approval binding and controlled execution
- runtime observability and workflow reconstruction
- evidence integrity, limitations and controllability
Public, bounded technical evidence for RAG, agentic systems, execution integrity and observability.
- AI Systems Risk & Evidence Lab
- Latest GitHub Release
- Public Evidence
- Sample AI Agent Readiness Check
Lab outputs support professional review and decision-making. They do not constitute production-wide safety claims, certification, or legal conclusions.