About this episode

Indy Sawhney discusses a framework for implementing Agentic AI in regulated industries, emphasizing the importance of high-stakes workflows.

Indy Sawhney, an AI strategy leader at AWS, provides a framework for successfully implementing Agentic AI technology in complex, regulated industries like healthcare and finance. He argues that projects often stall because leaders choose "safe" tasks rather than those with high organizational readiness and clear financial consequences for delay. To ensure success, Sawhney introduces a three-variable filter that prioritizes workflows with established regulatory structures, measurable costs for lost time, and a deeply committed executive sponsor. By focusing on these high-stakes areas, companies can transform AI from a technical experiment into a critical business priority that overcomes common governance hurdles. This strategic advice is featured in his Weekly Dose of AI Adoption newsletter and his book, Scaling AI Adoption .

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