Every financial institution holds knowledge that others don't: how it defines risk, fees and exposure, and the judgement behind its decisions. But that intelligence is scattered across systems, documents and definitions, so each new AI use case starts by rebuilding context, and each copy adds another place where data can drift, break or leak.

This session will explore how institutions are putting that knowledge on a single governed foundation, so it stays resilient, secure and reusable. Models and applications will change, but a financial institution's knowledge and its ability to act should endure and become more valuable through use over time.

• How do you unify definitions, governance and security so every application inherits them rather than copying them?
• What does it look like to take a real workflow, such as fee assurance, from evidence to an approved action and a confirmed outcome?
• How do you make each new use case faster, more trusted and priced at around half the cost of the software it replaces?