Data Requisition Copilot: 60% Faster Data Access for a Leading Bank 

In this podcast episode, we explore how a global bank transformed slow, IT-dependent data access into a secure, conversational experience by implementing an Agentic AI-powered Data Requisition Copilot. The discussion walks through the challenges of fragmented legacy and modern systems, limited interoperability, manual reconciliations, and governance gaps, and how a security-first design enabled business users to access data through natural language without compromising regulatory compliance. We unpack the two-phase journey—from foundational setup with NLQ-to-SQL, governance, and auditability to enterprise-scale expansion with automated validation, APIs, and multi-system integration—and examine how a unified API-first, cloud-native architecture helped the bank modernize operations, improve visibility, and scale confidently for future growth.

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