Why your AI strategy Is failing — and how to fix It, with Rohit Jayachandran.

In the latest episode of the Digital Banking Podcast, host Josh DeTar of Tyfone welcomed Rohit Jayachandran, Head of Banking & Financial Services at Mphasis, for a wide-ranging conversation about the intersection of technology, culture, and human decision-making in financial services. Jayachandran walked through 25 years of banking technology evolution — from the dot-com era through mobile, digital, cloud, and now AI — and made a pointed argument that most financial institutions were approaching AI the wrong way. He offered a two-track framework: for critical revenue, cost, and risk functions, apply top-down reimagination; for everything else, give employees the tools and let them drive 15–20% productivity gains grounded in the right guardrails.  The conversation moved into cultural readiness for AI adoption, the importance of a growth mindset, and why community financial institutions had a genuine opportunity to break historical entry barriers around scale and complexity. DeTar and Jayachandran also drew unexpected parallels between Formula 1 telemetry and banking data strategy, and closed with a shared conviction that the future of work would be more fulfilling — not less — for those willing to adopt the tools.