A Simple Framework for Green-Lighting AI Projects
summary
A clear decision framework appears: use an AI value matrix that scores data access, tech complexity, skills, sponsor support and measurable KPIs. Three concrete cases: a conversational tutor for a dyslexia learning platform cuts how‑to tickets and raises engagement; a patent‑search assistant speeds prior‑art lookup and increases filed patents per quarter; an automated report generator reaches 80–90% draft quality and frees human reviewers. Claim: nine out of ten requests don’t need AI and pilots must show measurable time or count improvements.
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chapters (9)
- 0:00Introduction
- 1:07AI market hype cycle
- 6:04AI value pyramid
- 8:10AI value matrix
- 13:25Adaptive learning case study
- 21:54Patent filing automation
- 27:24Hull cleaning reports case
- 34:33Key takeaways
- 35:58Q&A
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