Scaling AI in financial services starts with governance and architecture

Scaling AI in financial services requires moving beyond front-office hype to focus on a robust backend foundation centered on unified data, rigorous governance, and enterprise-wide observability. To successfully transition from isolated experiments to scalable, agentic AI, organizations must invest in integrated architectures that bridge the gap between fragmented legacy systems and modern, secure automation.