Every finance leader is facing the same set of AI challenges right now — and most of them aren't technology problems. They're leadership, process, and governance problems that no platform solves for you. In our two hours together, we'll work through the ones that matter most:

The Determinism Collision. Finance is built on certainty — same input, same output, fully defensible. AI is built on probability — the same input can produce different answers. We'll confront what happens when a probabilistic system runs inside workflows that demand exactness, and why that friction is where most finance AI efforts quietly stall.

Trust in a regulated function. Your team won't act on an output they can't explain or defend. We'll get into how you build justified confidence in AI-assisted work — and where the line sits between useful acceleration and unacceptable risk.

Transparency and the black box. Black-box decisions don't survive an audit, a board question, or a regulator's scrutiny. We'll talk about what explainability actually requires in finance, and how to keep AI-assisted decisions defensible after the fact.

Governance and accountability. Who is accountable when the answer came from AI? And harder still — who's accountable when AI is baked into the software vendors you already run, releasing changes across every client with each new model? We'll work through the governance questions most finance teams haven't asked yet.

The talent gap. This isn't only about the skills your team needs today. It's about the pipeline for what's coming — and why the old technology-transformation and RPA playbooks won't build it.

You'll leave understanding not just where the obstacles are — but the mindset and first moves to lead through them. No technical background required.

This session is built for finance leaders and the teams they lead — CFOs, controllers, VPs of finance, FP&A leaders, accounting managers, and finance operations professionals who carry responsibility for decisions that have to hold up under scrutiny.

It's for the finance leader who is already using AI, or knows they should be, but wants a deliberate approach rather than scattered experimentation — especially in an environment where every output has to be explainable, defensible, and audit-ready.

You'll get the most from this session if any of these sound familiar:

• You see the potential of AI in finance, but you're not sure how to deploy it responsibly in a regulated function.
• Your team is experimenting with AI unevenly — some leaning in, some resisting, no shared standard for when and how it's used.
• You're being asked by your board, your CEO, or your own ambition to "do something with AI," and you want a real strategy rather than a pilot that stalls.
• You're concerned about the governance questions no one's answering — accountability, transparency, and the AI already baked into the tools you run.

If you've thought "AI clearly matters for finance, but I don't yet know how to make it work in my world" — this session was built for you.

Most AI content focuses on tools and prompting techniques. This session starts where the real problem lives — in the mindset and behavior of leaders themselves.

Research shows 70% of AI implementation failures stem from people and culture, not technology. Scott reframes AI adoption as a human transition, not a technology transformation — and gives leaders the practical model to act on that shift immediately. If you have attended AI training before and left feeling like you learned features but not fundamentals, this session was built to fill that gap.

Your registration includes:

• In-person lunch with peers
• 90-minute workshop with Scott Wise
• Digital copy of AI4Leaders: Amplify Your Impact — Scott's complete guide to leading with AI in ways no machine can replace
• Download of the AI4Leaders Research Paper — Leading the Human Transition — the data-backed foundation behind everything covered in the session