Banking doesn't need more AI pilots, it needs the confidence to scale them

Ben Saunders contributed a thought leadership piece to Financial IT on the gap between AI experimentation and production deployment in banking and financial services.

The article covers:

  • Why many institutions become "pilot factories" where proof-of-concepts multiply but few reach embedded, operational capability

  • Organisational blockers beyond regulation: unclear business cases, limited technical understanding, leadership misalignment, and low trust among teams approving change

  • Building conditions for responsible scaling: clear value cases, observability, auditability, and human oversight before production

  • Repeatable experimentation frameworks that compare outcomes and identify which initiatives are ready to scale

Previous
Previous

Open Source Models Are the Pathway to Sovereign AI

Next
Next

Meet Dan Sanabria, sharing his career highlights from being responsible for vintage-worthy telecommunications machines, to listening to 80s and 90s bootlegs in his day-to-day