Work
Selected evidence across AI transformation, enterprise delivery, product validation and the decision to stop when scaling was not justified.
Two connected streams: a meeting knowledge assistant that helps product decisions move forward, and AI-supported documentation that stays aligned with code.
Release governance for REST/OpenAPI work across product, engineering, QA and architecture.
An independent AI product experiment shaped by 30+ SME interviews and tested through an MVP/pilot.
Why stopping before scale was the responsible outcome when the validation effort required to operate the initiative outweighed its expected value.
A worked example of framing a revenue workflow, quantifying friction and setting explicit scale, iterate or stop criteria.