Ninety-five percent of enterprise AI pilots never reach production, and the reason usually isn't the model. Drawing on my work architecting the data and AI stack behind a $1.13B enterprise software company, I'll argue that what separates AI that ships from AI that merely demos comes down to three things: the read contracts that govern how AI accesses live business data, the write contracts that govern how it takes action across your CRM, ERP, and other systems of record, and the execution discipline that turns a boardroom vision into shipped outcomes. The talk will dissect real, public cases, from Air Canada's hallucinated refund policy and Zillow's $500M write-down to the production wins at JPMorgan and Klarna, to build a diagnostic vocabulary you can apply to your own initiatives. You'll leave with a self-assessment framework that pinpoints exactly where your AI project will stall, plus three concrete actions you can take Monday morning to close the gap. If you're tired of impressive demos that die before production, this session is for you.
