
A governance framework for agents in your supply chain
Best practices drawn from leaders across the industry: the guardrails, audit trails, and escalation logic to govern agents as labor.
The AI that pays off is governed like labor you hire, and measured like it. Every decision it makes is scored against a baseline: did the agent beat the prediction. Every human override is scored too: did it add value or destroy it.
AI is already in your supply chain. The problem is telling where it helps and where it quietly costs you. Most companies bolt it on as one more tool and get nothing they can measure: no accountability, no ROI.
Spend one working day in Nashville on how to make AI labor work in your planning function.
One manufacturer freed $7MM a month by hiring AI to own 77% of planning decisions, with people keeping final authority.

Best practices drawn from leaders across the industry: the guardrails, audit trails, and escalation logic to govern agents as labor.

An assessment of where your supply chain has value leakage, plus two to three specific ways to improve working-capital efficiency. Yours to keep.

Capped at 60 operators who own a plan and a P&L, plus partner experts from Databricks, Trillium, and Accenture. Narrow enough that people collaborate.
Stand up AI labor at a small scale you can run yourself: prove the thesis in the room, then see how the principles scale to your organization.
A hands-on working day, start to finish. 9:00 AM through dinner at House of Cards, ending around 9:30 PM.
Daybreak's leadership comes from the companies that defined enterprise planning, Kinaxis, Blue Yonder, SAP, i2, Genpact, EY, and Monetate. Partner speakers from Databricks, Trillium, and Accenture.

Building the AI labor system for enterprise planning. His conviction: AI makes the repeatable calls, and the people who own the P&L own the exceptions. He opens and closes the day.

Leads Databricks' go-to-market for the world's top consumer brands, turning unified data into intelligent, agent-driven operations.

30 years across semiconductor operations and supply chain, at Intel, Micron, and UST Global. Presents on the AI context layer that catches planning's costliest inflection points.

An independent read on AI maturity across the planning landscape. What's real, what's vaporware.

Leads growth and Daybreak's engagement with supply chain and finance leaders. He convenes the AI Labor Summit.

Leads the engineering behind Daybreak's governed, autonomous planning agents, the decision infrastructure that makes AI trustworthy on real planning calls.
A full working day at Soho House Nashville, in a room capped at sixty. Then dinner at House of Cards, and the conversations you don't get on a webinar.










Sixty seats, not six hundred. Small enough that people actually talk, and senior enough that you'll learn as much from the room as from the stage. Everyone owns a plan and a P&L, at companies close enough in size that the lessons transfer.
Sixty seats, by application, no fee. Tell us about your role. We review every application and follow up.
Apply to attendHand-picked accommodations near the venue.