The CFO as AI Architect: Guiding the AI Shift While Growing your Business

The CFO as AI Architect: Guiding the AI Shift
While Growing your Business

Most finance leaders have adopted AI somewhere. Far fewer can point to what it actually changed.

The gap isn't the technology, it's the transition. Roughly 56% of finance professionals are using AI, but only 17% have it running in a core workflow. The rest are stuck in pilot purgatory: demos that get applause, then go quiet until someone asks two quarters later why nothing shipped.

In this session, Glenn Hopper — CFO, author of The AI-Ready CFO, and educator at Duke's Fuqua School and the AICPA — picks up where Session 1 left off. That session answered which workflows automate. This one answers the harder question: how do you make them produce durable value, without losing the team along the way.

Glenn walks through what separates finance leaders who are closing the value gap from those still circling it — and the answer is less about the tools than the leadership behind them. Scattered individual use doesn't compound. It doesn't survive when your best analyst takes another job. Durable value gets designed from the top.

This isn't change management theory. Glenn lays out the practical blueprint — how to assign ownership, define what "validated" means before output reaches a decision, build the controls that let you move with confidence, and develop the skills your team will need to stay relevant as the work reshapes around them.

You'll Leave This Session With:

A practical blueprint for moving AI from pilot to production in your finance org
A clear framework for assigning ownership and accountability across deployed workflows
The governance moves that accelerate adoption rather than brake it
A model for developing your team's AI skills without a hiring spree
Three first moves to make next quarter — with a baseline to measure them against

Who Should Attend:

CFOs and senior finance leaders ready to move past adoption into measurable impact
Finance leaders managing teams through role and workflow redesign
Leaders who ran a pilot, got the applause, and are now asking why it hasn't shipped
Teams building the internal capability to validate, govern, and scale AI workflows
Anyone who left Session 1 asking: now how do I actually lead this?

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