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๐Ÿš€ Nearly every product team has been asked to put AI to work where a skilled human currently does the job. The obvious approach โ€” interview your expert, write down what they do, build a system that copies it โ€” is also the one most likely to fail. At Emhance we took the opposite route. First we built a research service good enough that King, Zynga and Supercell trusted us with their games. Then we spent several months automating our own researchers, one task at a time, with those researchers as our harshest and frequently furious users. Turnaround went from weeks to days. I'll cover what worked, what broke, and the part the title gets wrong โ€” because we didn't fully replace our experts, and where we deliberately kept them turned out to be the most important decision we made. You'll leave with: five laws for automating expert work, a decomposition method you can apply to your own workflow, and an honest account of everything we got wrong along the way. Who it's for: product leaders putting AI into workflows where quality is judged by an expert, not a metric.

โฐ Schedule (CET)
17:00 - 17:05 Intros
17:05 - 18:00 Presentation and Q&A

โœจ About the Organizers
We're on a mission to help companies discover and deliver great products faster. We do this by empowering our community to share knowledge generously. Through our consulting engagements, we do all the hands-on and unglamorous work of a Product Manager on an Interim basis (3-12 months). We onboard fast, align teams, and deliver outcomes. ๐Ÿ˜‰
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