01 / AI Governance & Quality
Putting AI into production where someone has to answer for it.
Model risk work for teams past the pilot stage — where the question stops being “does the demo work” and becomes “can we show it works, on purpose, every time.”
- AI risk programs mapped to the NIST AI Risk Management Framework and ISO/IEC 42001
- EU AI Act readiness — system classification, obligations, technical documentation
- LLM evaluation harnesses for accuracy, safety, drift, and regression over time
- Independent model validation and review, with a defensible record of it
- Acceptable-use policy, human oversight design, incident and escalation paths