Re-engineering banking workflows

AI is reshaping core banking workflows—from credit decisions to risk monitoring—but most institutions are still stuck in pilots. Learn how to move from experimentation to AI-native, value-generating operations without losing control over cost, risk, or governance. What you’ll learn: • How leading banks are re-engineering decision-making workflows with AI agents, from underwriting to treasury and operations • Practical ways to balance AI-driven productivity with token and API cost discipline using techniques like caching and deterministic services • Why so many AI pilots stall before production—and how to align IT, data, and business teams around measurable ROI and trust • Concrete steps to build AI-native workflows that embed event-driven, human-in-the-loop agents directly into core banking processes Timestamps: 00:00 Intro: Re-engineering banking workflows with AI 03:40 Deutsche Bank case study, productivity vs. token costs 08:20 From knowledge access to AI-driven decision making 21:30 Measuring readiness, risk, and ROI for AI in banking 35:10 Lessons from failed pilots and how to scale 43:40 Building AI-native workflows + panel action items Subscribe for more:    / @gleanwork   Follow us: • LinkedIn:   / gleanwork   • Twitter/X: https://x.com/glean • Instagram:   / gleanwork