Summary

Successfully scaling AI requires banks to move beyond promising POCs to embedded capabilities across the organisation that demonstrate tangible results. The challenge lies in moving from deploying individual use cases to transforming entire domains, all while navigating the ever-present question of return on investment.

This Outcomes Roundtable brought together an expert panel of AI leaders from NatWest, Lloyds Banking Group, Truist, and EY to explore this challenge. Drawing on insights from the Evident Use Case Tracker, the discussion focused on how leading banks are approaching use case prioritization, making scaling decisions, and evolving their measurement of ROI to accelerate AI adoption.

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Key Discussion Topics

• Defining practical strategies for scaling AI, including empowering the workforce through “lab” versus “crowd” models and investing in common foundational capabilities.
• Positioning risk management and “human-in-the-loop” as a key enabler and differentiator to drive GenAI adoption, building trust and curbing over-reliance and hallucination risks.
• Identifying “low-risk, high reward” applications (e.g. knowledge access, process automation, and developer augmentation) is where value will land first. Meanwhile, fraud detection, AML/KYC, and call centre augmentation represent the biggest potential revenue upside over the long-term.
• Acknowledging “foundational” enablers, including shared prompt libraries, governed data partitions, and continuous AI literacy programmes as the means to convert early wins into repeatable, sustainable ROI at the enterprise level.

Speakers

Key slides & perspectives