Where’s the ROI?

Unlocking Value from GenAI in Banking

Evident AI Outcomes Roundtable

Tuesday 10th June 2025 15.00-16.00 BST | 10.00-11.00 EDT

Virtual Roundtable

Event Speakers

Zachery Anderson

CDAO, NatWest

Zachery brings over 20 years of analytics and data science experience. He joined NatWest Group as Chief Data and Analytics Officer in 2020 and leads the bank’s Data Management, Data Science, and Data Engineering teams. In this role, he is responsible for setting the banks data, artificial intelligence (AI) and personalisation strategy.

Dr Rohit Dhawan, PhD

Group Head of AI Executive Director, CDAO at Lloyds Banking Group

Dr. Rohit Dhawan is the Group Executive Director of Artificial Intelligence at Lloyds Banking Group in the UK, where he leads a multidisciplinary team of AI specialists, data engineers, data scientists, and AI ethicists. A prominent figure in data and AI strategy, Dr. Dhawan is a seasoned C-suite operator and a published author. Previously, Dr. Dhawan served as the Regional Head of Data & AI Strategy for Amazon Web Services in the Asia Pacific region, covering South-East Asia, Australia, and Japan. Dr. Dhawan retains a PhD in AI and a Master’s degree in IT from the University of Sydney.

Mudit Gupta

Partner, Americas FS Consulting AI Practice Lead at EY

As the EY Americas Financial Services AI Practice and Risk Innovation Lead, Mudit advances AI and analytics to drive transformative change. With more than two decades of experience in the financial services sector, he has a proven track record of incubating early-stage AI and analytics use cases and implementing comprehensive data and analytics programs at scale, with a strong emphasis on regulatory compliance and risk management. In his risk innovation role, Mudit is dedicated to integrating AI and data assets into risk management practices across various industry sectors. His extensive experience includes direct collaboration with the C-suite and first-line risk and control executives. Mudit also heads solution teams focused on AI and analytics. He is responsible for the build and scaled implementation of innovative solutions, work that encompasses proof of concepts, enablement, architecture, and operationalization.

Chandra Kapireddy

Head of Analytics, AI/ML & Gen AI, Truist

Chandra has over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams. Recognized for his expertise in change leadership, strategy and execution, team building, and delivering results, he has an impressive track record of innovative solutions and driving substantial business growth within the financial services sector. Chandra has also held key leadership positions at some of the industry’s leading companies, including JP Morgan Chase, Capital One, Wells Fargo, Bank of America, Oracle, and AWS.

Alexandra Mousavizadeh

Co-CEO and Co-founder, Evident

Alexandra has spent 25 years ranking and quantifying complex societal and political forces, and for the last 6 years she has focused on AI. She started her career at Moody’s, then Morgan Stanley, and later became CEO of ARC Ratings and Director of the Prosperity Index. Most recently, Alexandra was Director of Tortoise Intelligence, publisher of The Global AI Index.

Colin Gilbert

VP of Intelligence, Evident

Colin leads Evident's Intelligence Team. focused on developing new content offerings and expanding our customer-facing diagnostics. Colin has spent the last 15 years working in Research & Advisory services, specializing in using quantitative benchmarking to measure an organization's digital aptitude vs. performance. Previously, he served as a Managing Vice President at L2 Inc. (acquired by Gartner in 2017), where he worked on the Digital IQ Index® as it expanded to cover nearly 1,500 leading brands across 15x B2C industries.

Watch the Roundtable

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.

Key Slides & Perspectives