Designing trustworthy intelligent systems: A regulatory blueprint for Agentic AI in BFSI

By Sandeep Khuperkar, CEO & Founder, DSW Unify AI

Artificial intelligence in BFSI has long been driven by use cases fraud detection, credit decisioning, risk analytics, customer service, and operational efficiency. What has evolved over time is how institutions have approached enabling these use cases at scale.

The journey began with tools, enabling experimentation and early innovation.
It progressed to frameworks, introducing structure, standards, and repeatability.
It then matured into platforms, supporting adoption across teams, data estates, and enterprise functions.

Each phase represented meaningful progress in applying AI responsibly within regulated environments.

Today, BFSI institutions are engaging with a deeper, more structural question:

How do we operate AI especially agentic AI safely, at scale, and in line with regulatory expectations as part of the enterprise itself?

This question does not replace innovation. It reflects a natural progression toward institutional trust, accountability, and long-term resilience.

From AI adoption ...