AI doesn't fail in demos. It fails in production. This framework covers the four risk areas that actually break in deployment — hallucinations, oversight gaps, compliance requirements, and data quality — with verified research, practical defense strategies, and a 20-point Red/Amber/Green assessment checklist you can run against your own systems. Built for AI leads, engineering managers, and anyone responsible for AI that has to work beyond the proof of concept.
AI Risk Assessment Framework
A practical framework for assessing what actually breaks when AI hits production, with a scored checklist and governance templates.
AI doesn't fail in demos. It fails in production. This framework covers the four risk areas that actually break in deployment — hallucinations, oversight gaps, compliance requirements, and data quality — with verified research, practical defense strategies, and a 20-point Red/Amber/Green assessment checklist you can run against your own systems. Built for AI leads, engineering managers, and anyone responsible for AI that has to work beyond the proof of concept.