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

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Видео Re-engineering banking workflows канала Glean