Deploying more AI agents is not enough. Enterprises still need a system to manage them.
Ganesh Padmanabhan, founder and CEO of Autonomize AI, is building AI infrastructure used across four of the five largest U.S. health enterprises.
We discuss:
Why healthcare’s point solutions optimize individual silos without improving the system as a whole.
How AI can compress a nurse’s 30-minute chart review into roughly two minutes.
Why Autonomize lets clinicians and case managers build governed workflows themselves with Genie AI.
How RLM Opt can improve prompt performance while using up to 90% fewer tokens.
Why a library of roughly 55 models can beat using a frontier LLM for every enterprise problem.
Why today’s AI adoption resembles early cloud migration: access arrived before governance and operating discipline.
“Everybody has it, everybody’s using it, but we haven’t really figured out what it takes to make it work.”
If AI eventually performs 60% of a workflow, should companies automate the existing process or redesign the job entirely?
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