Superhuman’s CTO shares 7 lessons for driving AI adoption across engineering teams, from removing tool friction to running different SDLCs for different risk levels.

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Superhuman's CTO Loïc Houssier shares seven practical lessons for driving AI tool adoption across engineering teams. Key strategies include removing procurement friction so engineers can self-serve tool licenses, forming an AI guild for peer knowledge sharing, recruiting respected skeptics rather than enthusiasts to build credibility, scheduling quarterly retooling time, starting hesitant engineers on low-stakes non-code tasks, running separate SDLCs for different product risk levels, and investing in evals to manage shared quality ownership in prompt-driven features.

7 AI productivity lessons from the CTO of Superhuman

6. Run different SDLCs for different risk levels

7. Get comfortable with shared quality ownership

The path to an AI-native engineering culture