From Fraud Detection to Agentic Financial Operations

Extending AI beyond fraud detection requires financial institutions to treat data, governance, explainability, integration and resilience as shared infrastructure rather than project-specific add-ons. The article maps the maturity path from supervised machine learning to bounded agentic workflows and examines production use cases in credit, KYC/AML, compliance and customer engagement. It also explains why legacy cores, model drift, auditability and human oversight often block deployment. Technology leaders should assess platform readiness before scaling isolated pilots into operational systems.