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Why AI adoption in BFSI has plateaued—and how agentic decision systems unlock scale, speed, and governance.
Indian BFSI institutions have adopted AI across lending, risk, compliance, and operations. Yet decision-making remains fragmented.
Intelligence is generated in silos. Context is rebuilt late. Senior teams intervene to reconcile outputs. The result: slower decisions, inconsistent outcomes, and capped scale—despite advanced AI tools.
This report explains why automation stalled and where decision systems break down.
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