Leading the Human + AI Enterprise: Building the Connected Operating Model

AI can recommend, model, and forecast, but the decision, and the accountability, still belong to a leader. So where is the line today? In this candid cross-functional panel, senior leaders from strategy, delivery, and technology compare where they trust AI, where they hold the line, and what has to be connected for AI to be worth trusting at all. Expect honest disagreement, hard-won lessons, and a shared conclusion: AI is only as good as what it can see.

Sub-topics:

·       The trust line. What leaders already let AI do, what they refuse to hand over, and the uncomfortable middle.

·       When the room turns adversarial. Defending what's funded when Finance, IT, and the business all challenge it in the same meeting.

·       Surviving the shift. What breaks when priorities change mid-quarter, and what a connected model would have caught.

·       Proof on demand. Can the system produce the evidence when the hard question comes, or is it still assembled by hand?

Every leader is being told to add AI to everything. But AI poured onto a disconnected enterprise does not create clarity; it just makes the wrong calls faster. In this opening keynote, we make the case for a different foundation: a connected operating model where strategy, people, work, funding, and AI agents run as one system. Discover what separates the organizations that already have the answer when the hard question comes from the ones still scrambling for it, and why connection, not more tooling, is the real AI advantage.

Sub-topics:

·       The acceleration trap. Why "add AI to everything" backfires on a disconnected enterprise, and what the 11% do differently.

·       The connected operating model. Strategy, people, work, funding, and AI agents running as one system instead of five.

·       AI as accelerant, not answer. What changes when AI reasons over a connected fabric versus scattered data.

·       Earning the certainty. How leaders move from scrambling for answers to already having them when the hard question lands.

By the time most organizations translate a market signal into a funded decision, the window has closed. This roundtable discussion is for leaders who want to act with confidence before anyone demands an answer. Explore how to shorten the signal-to-decision cycle from quarters to weeks, connect investment to live outcomes, and use AI to pressure-test the bet, so you move first without moving blind.

The worst risks are the ones hiding in the seams between disconnected tools, the ones that blindside you in the room. And as AI accelerates delivery, those gaps surface faster than ever, fast execution exposes whether the work is still connected to the strategy. This roundtable discussion is for delivery leaders who want to run the business from one operating picture instead of five. Learn how to surface cross-portfolio dependencies early, let AI flag downstream impact before it becomes a surprise, and walk into tough conversations with proof instead of optimism.

Your workforce is no longer just people, it is people plus a growing team of AI agents, and both are strategic capital that has to be pointed at the right work. This roundtable discussion is for operations and transformation leaders who are tired of being the only thing holding alignment together. Explore how to allocate human and AI capital to strategic priorities, govern capacity and skills at scale, and make alignment live in the system instead of one exhausted person's head.