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Description
When factories first gained access to electricity, for decades they simply replaced the steam engine with a dynamo—same factory, same layouts, same belts. Productivity didn’t move. The real leap came only when a new generation of entrepreneurs had the courage to tear down the factory and rebuild it from scratch around the electric motor.
Today, with artificial intelligence, we are in the dynamo phase. Companies buy copilots and layer them onto unchanged processes: AI summarizes, generates drafts, answers questions. Useful—but it’s not transformation, it’s cosmetic automation. The real discontinuity has a name: moving from co-pilot to co-thinker. Not a faster assistant, but a system that enters the decision-making process, understands context, reasons about implications, and raises risks no one in the room is considering.
This will be illustrated through a case every company knows: a strategic procurement. A multi-million contract, eleven months of negotiation, thirty people at the table—and a liability clause hidden on page 47 that none of the thirty noticed. The co-thinker did. We will see how, concretely: specialized agents, structured organizational memory, and a workflow where AI doesn’t assist the team but thinks alongside the team. Those leaving this talk will have a framework to understand whether their company is using AI like a dynamo—and what it takes to rebuild the factory.
LIDIA is an innovative start-up transforming the legal sector through a Generative AI platform designed by lawyers for legal professionals. Part of the MESA Group, it combines legal expertise and...
