How LMCU Cut a 150-Step Process to 15 with AI

Ankur Patel interviews Chris Ortega, who leads technology transformation at Lake Michigan Credit Union, a $17B asset institution and the 13th largest credit union in the US. What's distinct about Chris's approach is that he restructures how the organization operates before deploying the tools — agile teams, a Center of Excellence, and a single Emerging Technology Governance Board that owns AI, RPA, and stablecoin. The episode covers how that structure was built, where RPA vs. agentic AI is the right call, and the cost discipline that keeps emerging tech from running away from the institution.📩 Subscribe to the Main Street AI Newsletter: https://multimodal.beehiiv.com/subscribe?utm_source=podcast&utm_medium=description&utm_campaign=podcastGuest: Chris Ortega, CIO, Lake Michigan Credit UnionHost: Ankur Patel, CEO & Founder, Multimodal0:00 Introduction: Meet Chris Ortega0:32 Stabilizing the IT landscape at LMCU1:40 Inside a top credit union3:23 Building conviction for transformation5:20 The Center of Excellence and the three C's7:43 What surprised him about emerging tech9:31 Where traditional project management falls short11:25 Why agile fits today's pace14:06 One committee for AI, stablecoin, and whatever comes next15:53 From planning to execution to ROI18:33 Closing the gap between business and engineering22:09 Building trust through real back-and-forth24:35 Why remote teams are an asset, done right26:44 What smaller credit unions can take away29:20 Pick your tech, then match your partners to it33:25 Where agentic AI is showing up35:45 The HUMDA win: 150 steps cut to 1536:56 Mortgage, the call center, fraud, and audit38:51 The token-bill trap40:46 RPA vs. agentic AI44:13 AI bootcamps, lunch and learns, and Co-Pilot48:42 Star Trek, not Terminator