End-to-end admin automation.
Built for the way your clinic works.

Clinics up and down the US are facing the same administrative headache. Working with TriFetch, we've been able to relieve our staff from managing patient calls and scheduling: freeing them up from hundreds of voicemails and phone calls to focus on the patients in front of them.

I helped co-found NextGen Healthcare and spent over 22 years watching healthcare technology get sold the wrong way. Most companies lead with solution instead of problem. TriFetch does the opposite. They started with the actual pain: the referral backlogs, the prior auth calls, the staff spending half their day on hold with insurance. That is the right instinct, and it is rare. I joined as a founding advisor because I believe this team is building something that independent practices have needed since the first EMR was installed. The administrative burden has only gotten worse. TriFetch is one of the few companies I have seen that actually understands the workflow before they try to automate it. With these basic workflows automated with AI, the sky is the limit. I'm thrilled to be able to help them on their journey to truly improve healthcare delivery.

After nearly 30 years running a solo ophthalmology practice, I wish that I had a system like TriFetch from the very beginning. Automating referral processing, prior authorizations, and scheduling would have given my staff more time to focus on the patients right in front of them. It definitely would have been a game changer!

As a hands-on clinician with decades of experience, I have always preferred real wisdom over artificial intelligence. However, Dr. Varuni Sarwal brings a unique perspective that speaks to me. Medicine is hyper-local and hyper-personalized, and she clearly understands that. That is why her focus on streamlining non-clinical workflow is exactly where AI can make a real difference. My pilot with TriFetch has been a genuinely useful experience, and I am excited to see TriFetch grow.

I spent years working inside prior authorization operations and witnessed firsthand how inefficient systems, fragmented communication, and outdated workflows delayed care and created frustration for providers, patients, and healthcare staff alike. Many of these operational breakdowns were systemic, not isolated. What immediately stood out to me about TriFetch AI was that they clearly understand the real-world operational failures occurring behind the scenes of prior authorization. Their platform addresses the actual friction points frontline teams deal with daily, from workflow bottlenecks and communication breakdowns to unnecessary administrative burden. Having personally worked on process improvement proposals aimed at reducing these inefficiencies, I recognized strong alignment between the operational gaps I observed in the industry and the problems TriFetch is solving through AI-driven workflow automation. This is the type of innovation healthcare administration desperately needs. The opportunity to improve efficiency, reduce delays in care, and remove unnecessary burden from both providers and patients is substantial.

Clinics up and down the US are facing the same administrative headache. Working with TriFetch, we've been able to relieve our staff from managing patient calls and scheduling: freeing them up from hundreds of voicemails and phone calls to focus on the patients in front of them.

I helped co-found NextGen Healthcare and spent over 22 years watching healthcare technology get sold the wrong way. Most companies lead with solution instead of problem. TriFetch does the opposite. They started with the actual pain: the referral backlogs, the prior auth calls, the staff spending half their day on hold with insurance. That is the right instinct, and it is rare. I joined as a founding advisor because I believe this team is building something that independent practices have needed since the first EMR was installed. The administrative burden has only gotten worse. TriFetch is one of the few companies I have seen that actually understands the workflow before they try to automate it. With these basic workflows automated with AI, the sky is the limit. I'm thrilled to be able to help them on their journey to truly improve healthcare delivery.

After nearly 30 years running a solo ophthalmology practice, I wish that I had a system like TriFetch from the very beginning. Automating referral processing, prior authorizations, and scheduling would have given my staff more time to focus on the patients right in front of them. It definitely would have been a game changer!

As a hands-on clinician with decades of experience, I have always preferred real wisdom over artificial intelligence. However, Dr. Varuni Sarwal brings a unique perspective that speaks to me. Medicine is hyper-local and hyper-personalized, and she clearly understands that. That is why her focus on streamlining non-clinical workflow is exactly where AI can make a real difference. My pilot with TriFetch has been a genuinely useful experience, and I am excited to see TriFetch grow.

I spent years working inside prior authorization operations and witnessed firsthand how inefficient systems, fragmented communication, and outdated workflows delayed care and created frustration for providers, patients, and healthcare staff alike. Many of these operational breakdowns were systemic, not isolated. What immediately stood out to me about TriFetch AI was that they clearly understand the real-world operational failures occurring behind the scenes of prior authorization. Their platform addresses the actual friction points frontline teams deal with daily, from workflow bottlenecks and communication breakdowns to unnecessary administrative burden. Having personally worked on process improvement proposals aimed at reducing these inefficiencies, I recognized strong alignment between the operational gaps I observed in the industry and the problems TriFetch is solving through AI-driven workflow automation. This is the type of innovation healthcare administration desperately needs. The opportunity to improve efficiency, reduce delays in care, and remove unnecessary burden from both providers and patients is substantial.