Past appearance
Why 95% of AI Projects Fail
A five-step fix built around portfolios, operator-engineers, and gravel-road prototypes.
- Format
- Keynote or executive session
- Length
- 30–45 minutes plus Q&A
- Best for
- Leadership teams, operators, and AI program owners
The premise
Most AI programs put too much weight on one large initiative. This talk makes the case for a portfolio of fast experiments, direct contact with users, and prototypes that are allowed to die.
Audience leaves with
- Why one large AI bet is usually the wrong unit of work.
- How gravel-road prototypes create evidence before commitment.
- The organizational conditions that let useful experiments survive.
Bring it to your group
Bring me the problem your team is trying to solve.
Tell me who is coming and what they need from the session. I'll recommend the talk and format that fit.
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