Episode 28: AI Strategy: What to Try, What to Skip
AI strategy is a collection of choices. Justin and Kellan talk about learning enough to make those choices, figuring out whether a problem actually needs AI, and being clear with your team about what you’re trying and why.
- https://knowledge.wharton.upenn.edu/special-report/2026-ai-adoption-report/: looking at business growth alongside productivity and efficiency.
Inside This Episode
- An AI conversation with a client that led to a different technology and process problem.
- The burden of context: what an agent needs to know before it can do the job.
- Pull requests for business processes—reviewing changes before they become shared instructions.
- Using AI to improve the process before giving it more autonomy.
- Four decisions to communicate: try, don’t try, continue, stop. Name the goal, people, tools, and criteria for success.
- Being clear about what you don’t know yet.
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Music licensed through Soundstripe.
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