Every engineering organization is racing to adopt AI, but few are ensuring their culture survives the shift. Our rollout took longer than it might have for one reason: we refused to sacrifice the culture that keeps our engineers here.
I'll share what worked for us, from building a volunteer coalition instead of issuing a mandate to prioritizing enablement over decree, along with what we got wrong. Attendees will leave with a practical framework they can adapt, including how we sequenced the first 30/60/90 days, recruited engineers to drive adoption from within, and chose metrics that measure meaningful change rather than activity.

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