We build custom AI agents and AI automation for clinics.

Yes, we build solutions to support HIPAA requirements when HIPAA applies, and we can work under a BAA where the project requires it.

But there is one thing I always explain here: there is no magic “HIPAA compliant AI” button. A major part of compliance sits inside the clinic itself — access policies, staff behavior, password management, devices, internal procedures, training, and the way people actually use the system.

In most cases, yes. So far, we have rarely seen a clinic system that was truly impossible to integrate with. But sometimes the integration is elegant, and sometimes it is a small engineering adventure.

If your EHR/PMS has an API, great — we use it within the limits of that API.

For clinical decisions, our answer is: not autonomously.

We build AI that can save a doctor a lot of time — collect history, summarize records, pre-assemble a report, flag abnormalities, suggest what to review, or prepare a draft treatment plan. But for clinically meaningful output, a licensed physician stays in the loop and reviews it before it becomes a medical decision.

You absolutely can. For some tasks, you should.

If you need to summarize non-sensitive emails, draft texts, or do something low-risk without patient data, ChatGPT or Claude may solve the problem perfectly well.

This is a bit like asking a dentist, “How much will it cost to fix all my teeth?” Nobody serious knows before looking.

A very small healthcare automation can cost a few thousand dollars. A sophisticated system with multiple integrations, custom infrastructure, clinical logic and validation can cost hundreds of thousands.

Typically, a focused project takes around one to two months.

But I have seen useful pilots that can be done in a couple of weeks, and large complicated projects that take many months or even close to a year.