Field notes
Notes from the work of putting AI into real organizations: where automation pays off, how agentic workflows earn trust, and why so many projects stall between demo and daily use.
What separates a workflow that sticks from a clever demo nobody opens twice.
The recurring failure patterns, and the governance and measurement habits that avoid them.
Human-in-the-loop review, guardrails, and value-realization metrics for AI at organization scale.
Articles in progress
First pieces are being written now. In the meantime, the professional background sits on the profile.
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