AI due diligence checklist for operators and leadership teams
What to inspect when a vendor, product, or target company says AI is central to the value story.
Insights
Notes on AI architecture, production readiness, and implementation.
This section captures how I think about AI systems that need to work beyond a demo environment: document workflows, delivery discipline, control design, and practical implementation questions.
Is your AI pilot actually ready for production?
A practical way to tell whether a convincing demo has the controls and operating discipline needed for real usage.
The minimum control stack for enterprise AI systems
The basic safeguards, eval practices, and observability layers that should exist before usage scales.
Get in touch
If the writing maps to your situation, reach out.
Bring the article, the decision in front of you, and the strongest source of internal disagreement. That is usually enough to identify whether there is a useful next step.