Enterprise AI at Scale: How U.S. Bank's Chief AI Officer Deploys AI Across 70,000 Employees | CXOTalk #906

Prashant Mehrotra, Chief AI Officer at US Bank, discusses how the bank evaluates AI initiatives and scales projects from pilot to production. He explains how to build customer trust through responsible AI design and prepare for the future of autonomous banking in CXOTalk episode 906. This conversation covers key aspects of AI in business and AI implementation within a large banking institution.

=======

Please support our sponsor Emeritus:

Explore executive education programs from Emeritus, in collaboration with top universities: https://cxotalk.partner.emeritus.org/

=======

Key topics discussed:

→ Why AI should transform processes, not simply make them more efficient

→ How U.S. Bank cut governance approval times in half by engaging risk partners early

→ The critical role of baselines in determining whether AI pilots scale or fail

→ Why "AI without data is a hallucination" and how the bank organizes Digital, Data, and AI under one leader

→ Building AI literacy across the entire workforce, from executives to frontline associates

→ The shift from building models to leveraging external foundation models at scale

→ Balancing personalization with privacy in customer interactions

Mehrotra emphasizes that the client remains the "North Star" for every AI initiative. He offers practical guidance on metrics, funding pilots through to production, and creating repeatable governance processes that accelerate rather than slow down AI deployment.

🔷 Show notes: https://www.cxotalk.com/episode/u-s-banks-chief-ai-officer-on-strategy-governance-and-scaling-ai

🔷 Newsletter: www.cxotalk.com/subscribe

🔷 LinkedIn: www.linkedin.com/company/cxotalk

🔷 Twitter: twitter.com/cxotalk

📍 CHAPTERS:

00:00 Introduction: AI at U.S. Bank

00:30 How AI Ideas Get Evaluated and Funded

02:24 The Chief AI Officer Role: The 4 E's Framework

05:21 AI as a Transformative Force, Not Just Technology

09:05 Real-World AI Impact: Customer Service and Developer Tools

11:15 Measuring AI Success: Metrics That Matter

15:31 Why 95% of AI Pilots Fail: The Importance of Baselines

17:05 AI and Sustainability Goals

18:01 Managing Risk and Governance at Scale

22:46 Moving from Pilots to Production

25:54 Aligning AI Strategy with Business Objectives

28:39 Building an AI-Ready Workforce: Skills and Education

32:12 How AI Differs from ERP and Traditional Technology Rollouts

35:05 Regulatory Compliance in AI-Driven Customer Outreach

37:16 Leadership Structure and Cross-Functional Collaboration

39:07 Data as the Foundation of AI

42:20 Technology Platforms and Vendor Partnerships

43:24 Build vs. Buy: Leveraging Foundation Models

45:56 AI as Strategic Investment: Creating Durable Value

47:58 Personalization Without Being Invasive

50:14 Conclusion

#AI #ArtificialIntelligence #Banking #DigitalTransformation #EnterpriseAI #ChiefAIOfficer #Leadership #CXOTalk