This one is so so important!!!! I spoke to with Madhu Narasimhan, CIO at DaVita Kidney Care, at Glean:GO 2026 in San Francisco on The Ravit Show. Most companies ask whether AI is good enough to scale. A healthcare CIO has to answer a harder question first. What happens when it is not.
That difference ran through the whole conversation.
DaVita operates at real scale in kidney care. When you are that close to patient care, the distance between a promising pilot and something you put in front of clinical and operational teams is not a technology gap. It is a trust gap, and healthcare defines that word more strictly than most industries do.
Here is what we got into.
- What has to be true before you scale AI across healthcare. Not the model benchmark. The conditions underneath it. This is the question I wish more AI conversations started with, because in a regulated environment the preconditions are the strategy.
- Why connected company knowledge decides whether AI is useful at all. An assistant that cannot see how your organisation actually works will confidently give you an answer that is wrong in a way nobody catches. Scattered knowledge is not an inconvenience. It is the failure mode.
- Where AI is creating real value at DaVita today. We stayed on what is actually running, not what is on a roadmap slide. That is a rarer conversation than it should be.
- What role Glean plays in the broader AI strategy, and where a context layer sits relative to everything else being built.
- What moves employees from trying AI to genuinely trusting it. This was my favourite part. Adoption is not a licensing problem or a training problem. People start trusting a system when it is right about something they already know the answer to, repeatedly, inside their own workflow. That is much harder to engineer than a demo.
- And what will separate the companies compounding real value from the ones sitting on 40 disconnected pilots. My own view going in was that the dividing line is knowledge, not models. I came out more convinced.
Madhu, thank you for the time at Glean:GO. Conversations with operators running this at real scale are the ones I learn the most from.
Worth your time if you are trying to move AI out of pilot phase in a regulated industry.
If you are inside healthcare, finance or another regulated environment, what had to be true before you scaled AI beyond a pilot?
#data #ai #enterpriseai #healthcareai #cio #aiadoption #digitalhealth #aigovernance #theravitshow
