ABOUT THIS EPISODE
Adoption without accountability is just expensive experimentation. Smriti Kirubanandan, Managing Director of Enterprise AI Transformation at Innovaccer, reframes the question every enterprise leader spending on AI should be asking.
Smriti tells Russ how her team cut a 32% claims denial rate to 11% in 14 months, recovering $23 million in one year. She breaks down why data quality must come before model performance, why every role must function as an AI steward, and where physical AI is headed next.
Topics discussed:
Why AI adoption and accountability must be simultaneous
Cutting claims denial rates from 32% to 11% with AI
Measuring data quality before measuring model performance
Building circular AI strategy across every organizational level
Using small language models to control cost and accuracy
Treating continuous data monitoring as a lifelong practice
Why physical AI is the next major wave of change
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