Technical Due Diligence
Run technical due diligence on an AI vendor. Learn architecture review (model choice, deployment topology, data flows), model evaluation (run your own evals on representative data), performance benchmarking against the vendor's claims, scalability assessment, integration footprint analysis, and code or repository review when contractually permitted. Learn how to involve engineering without monopolising their time.
6
Lessons
📋
Templates
✅
Practitioner-Ready
100%
Free
Lessons in This Topic
Work through these 6 lessons in order, or jump to whichever is most relevant to your matter.
Lilly Tech Systems