AI Integration Strategy
Find the workflow where AI can do useful work—and design the human judgment around it.
Summary
Start with the work, not the model. I help teams identify where AI can remove manual effort, improve a decision, or create a new product capability; test whether it works on real data; and define where a person must stay in control.
What you get
A ranked set of use cases tied to a real workflow and business constraint.
A test plan using representative data and clear success criteria.
Human review, fallback, and escalation points designed into the workflow.
Technical and operating risks the team must resolve before scaling.
Why it matters
An AI feature can look convincing in a demo and still fail on messy data or edge cases.
Testing the workflow and oversight early exposes trust and operating risks.
The result should tell the team whether it has a product, a useful internal tool, or an experiment to stop.
