U.S. Bank Unveils Six-Step Framework to Measure AI Returns

U.S. Bank Chief AI Officer Prashant Mehrotra has outlined an adoption framework aimed at helping financial institutions move artificial intelligence projects beyond pilots and isolated experiments. The playbook addresses a central challenge for banks: connecting AI deployment to measurable operating results and scalable business value. That discipline is particularly important in a highly regulated industry with complex legacy systems, where unclear performance benchmarks can make it difficult to prioritize projects and assess returns.

The newly published framework sets out six actions and combines an AI “value journey” with management dimensions covering how initiatives are governed, executed and evaluated. It is designed to give banks a common method for selecting use cases, scaling deployments and measuring outcomes. The related report did not disclose an exact publication date, implementation budget or expected dollar return, indicating that U.S. Bank’s contribution is an assessment framework rather than a specific investment commitment.