Building a trusted data foundation for production AI in financial services

Financial services firms are learning that the main barrier to production AI is not model capability but the quality, governance, and accessibility of the underlying data estate. CIOs should treat trusted data as a measurable operational requirement—defined by freshness, completeness, lineage, and accountability—while also creating a governed retrieval layer that unifies structured and unstructured data and extends IAM controls to AI agents. For IT organizations, this shifts AI from isolated pilots to an enterprise architecture and governance challenge that demands cross-system observability, policy enforcement, and clear ownership.