Strategy memos

Short, thesis-driven notes on applied AI in complex environments—focused on responsible scale, real-world validation, and measurable impact.

Why AI value is realized where clinicians work—inside existing systems, decisions, and accountability.

Evidence, trust, and accountability need to be designed into the lifecycle—not bolted on at the end.

In high-stakes domains, evidence and accountability are part of the platform—not a side project.

A practical stance: optimize for outcomes and adoption, not only capability.

How to define success for applied AI: outcomes, adoption, and reliability over novelty.