Outcome-First AI Workflows with Deloitte CTO Bill Briggs

Episode notes

On the 64th episode of Enterprise AI Innovators, host Saam Motamedi (Greylock Partners) talks with Bill Briggs , Chief Technology Officer at Deloitte . Bill argues that most organizations stall because they try to graft new models onto old workflows, and because their data and system foundations were never built for agentic execution. He shares a practical “start at the outcome” framing, why modernization still matters (even in the GenAI era), and how trust, security, and privacy have to be engineered in, not audited after the fact. Quick Hits from Bill: On AI-native starting at the top: “I actually start with the CEO and the chair and sit them down and say, if this isn't coming from you and this not this isn't about here in a year, it's about here. And what that means. We should stop the conversation…” On why agent pilots stall without foundations: “[Leaders hoped GenAI meant] we didn’t have to do… hard work in data foundations… [but enterprises lack] orchestration backbone… microservice enablement… without that, the bounds of what agents can do [are] limited.” On redesigning outcomes, not steps: “The point is, you want to have folded clean laundry when you need it.

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