Expert Dialogue
AI Opportunities and Obstacles for Bank Profitability

đź“… Thursday, 12 November, 2026 | đź•’ 11:00 AM (EST) / 4:00 PM (GMT) / 5:00 PM (CET)

Every bank finance leader is hearing two contradictory stories about AI right now: it’s the biggest business revolution in a generation, or it’s a minefield of stalled pilots and job displacement. Both miss what’s actually changed.

AI has quietly collapsed the time, talent, and capital it once took to build actionable profitability analytics, putting real decision intelligence within reach of banks that could never have justified the investment before. That’s the opportunity. But in banking, the real question isn’t whether AI works; it’s whether you can trust it enough to defend it to a regulator or a board.

This session cuts through the noise with a practical look at where AI actually can help bank profitability work today, the real obstacles standing between success and failure, and what separates banks building a lasting advantage from the ones still waiting for the AI disruption to pass.

What you’ll learn:
  • Why the economics of building profitability analytics have fundamentally changed with AI capabilities
  • The obstacles that determine whether AI creates real advantage or stalls out, and why none of them are really about the technology
  • A practical way to think about moving your team from AI-curious to AI-capable, without betting the function on constantly changing platforms

Speaker

Picture of Scott Wise

Scott Wise

Scott Wise has spent thirty years building bank profitability analytics — the cost studies, allocation models, and FP&A infrastructure finance leaders depend on. He then went all in on AI, earning certifications from MIT and Oxford to bring that same discipline to AI-driven decision intelligence. He is the author of Actionable Profitability Analytics and helps finance functions build decision intelligence that is defensible, finance-led, and built to last.

Fill in the short form to register for the webinar!

Who is it for? CFOs and Finance Executives, Controllers, FP&A Teams, Cost and Profitability Analysts, Finance Transformation Leaders, Data and Analytics Leaders, Strategy and Operations Leaders, and executives responsible for evaluating or governing AI adoption within banks and financial services.

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