Spotlight: Simran Khara @ NextDimension AI
A spotlight is a short-form interview with a leader in health tech. In this spotlight, you'll hear from Simran Khara, co-founder and CEO of NextDimension AI.
What does NextDimension AI do?
We are building the operating system that specialty medical practices run on. The administrative machinery has quietly become a barrier to care. A patient who can't get through doesn't get treated. A practice that spends its margin on paperwork can't invest in its patients. We are here to fix that. NextDimension deploys AI agents that carry the operational load of a practice end to end: patient communication, scheduling, eligibility, prior authorization, coding, billing, and more, with an orchestration platform and an embedded human team behind them. The goal isn't a smaller practice. It's a practice that can grow without the cost of running it growing at the same rate. AI agents manage the bulk of administration and operations, so that humans can focus on patient care.
How did you end up working in health tech?
I spent my career building AI systems at Google and Snowflake. At Google Cloud I built AI for one of the largest customer operations in the world. What I learned there is that when AI actually works, it decouples growth from operations. You can serve more people without spending more to serve them. And I kept thinking about the fact that the most sophisticated versions of those systems existed inside a handful of technology companies, while the places where they'd matter most had never seen them. I wanted to bring that power to physicians and practices.
Healthcare practices are absorbing more volume every year, and the only answer anyone has offered them is to hire. There has always been a "help wanted" sign up. It has never come down. Adding staff doesn't scale, and it doesn't fix the underlying issue. A patient still can't get through. An authorization still sits for two weeks. AI is the first thing capable of changing that equation. And that is my mission!
How does your role intersect with revenue cycle management (RCM)?
Most revenue cycle problems are created long before anyone looks at a claim, so we run the cycle from the first patient interaction. When a patient calls to book, the AI verifies eligibility live on the call, confirms the plan works for that provider and that procedure, and calculates the patient's cost responsibility while they're still on the phone. The practice can collect it upfront, as part of a normal conversation, instead of turning it into a collections problem ninety days later. The moment the booking closes, prior authorization is filed. Documentation is checked against codes before the claim goes out, so gaps get caught while they're still cheap to fix. AI agents automate RCM tasks and improve their accuracy, so teams can multiply their capacity by more than 100%.
What do you think RCM will look like two years from now?
The future we are building together is practice operations run by AI, where the busywork fades into the background and care takes center stage. The line between front office and back office disappears. Today they're separate departments, separate systems, separate people. And every handoff between them is where money and information leak. In two years that will look like an artifact. It becomes one continuous operation: the same system that answers the phone knows the patient's coverage, knows what the payer will approve, knows what the practice will be paid, and acts on all of it inside a single interaction. What follows from that is concrete. Denials get prevented at scheduling instead of appealed months later. Patient balances get resolved at booking instead of chased. Prior authorizations get filed in seconds. And headcount stops scaling with volume, so a practice can add providers and locations without operational cost following it up the curve. Payers are automating fast on their side. Practices that automate only the phones, or only the billing, will still be at a disadvantage. The advantage goes to the ones running the whole thing as one system.