About the Event

At this point, it’s hard not to have a point of view on where AI belongs, or doesn’t, in the finance stack. What’s more difficult is understanding what good leadership looks like during a time when the next phase of workforce strategy is at times unknown. Questions around governance, upskilling and reskilling, and the balance of human judgment are falling squarely in the lap of finance leaders, not because finance owns AI strategy company-wide, but because of their role in implementation and managing the people and teams caught in the very real mix of curiosity, ambition, and concern about what this wave of AI means for them.

Join CFO Brew and leaders on the front lines of this change management to unpack what leadership actually looks like right now: how to name what your team is worried about before it turns into disengagement, what it takes to build the judgment and governance that make AI trustworthy instead of just fast, and how one finance organization is putting all of it into practice internally.

Here’s what you can expect to cover:

• Naming the fear before it names you. AI anxiety rarely shows up as a formal complaint. It shows up as quiet resume updates, people hoarding the tasks that feel safe, and a team that’s stopped asking questions out loud. Unpack how finance leaders can play a role in the communication and strategy involved in emerging technology impacts.
• Exploring governance and judgment as the real differentiator. Every finance organization will eventually have access to roughly the same AI tools. The edge comes from who built the guardrails and trained the judgment to catch a wrong number even when the model is confident, plus how that shows up in real product decisions.
• Building the managers this moment requires. As AI absorbs more task-level work, the manager’s job shifts toward context, coaching, and knowing when to override the machine. Hear how one finance organization is developing its own team for exactly this, including a model where specific team members are assigned to own AI integration, troubleshoot in real time, and keep accountability from getting lost in the rollout.