AI transformation for private practices
Realize the ROI your AI vendors promised.
Your practice already pays for AI. We spend half a day rebuilding one of your workflows with the people who run it. In 30 days, you see exactly what it saved.
Operators who have run healthcare practices
The gap
Your practice is already running AI. Nobody was trained on it.
Most private practices are already paying for AI. It arrived with the EHR subscription, the Microsoft 365 plan, and the tools staff downloaded on their own.
The training never happened.
So the front desk still calls every patient to confirm. The biller still types the same follow-up on every denied claim. The provider still writes notes for an hour after the last patient leaves. Not because the tools cannot do the work. Because nobody showed them how.
95%
Ninety-five percent of enterprise generative AI pilots produce no measurable return. The cause is organizational, not technical.
34 hrs
Medical office staff report 34 hours a week each on administrative work. Clinicians report 28 of their own.
4 in 10
More than four in ten healthcare workers say they know a colleague using AI tools their organization never approved.
Our research
Nine in ten workflows need training, not new software.
We mapped the workflows a practice runs every day, the ones AI now touches. In primary care that came to 84. All of them work. None of them were built with AI in them.
Then we asked one question of each. Why is this not delivering the productivity the AI vendor promised?
Two answers came back. Staff who were never shown how, and staff who do not yet trust the output. Training and trust.
Nine in ten of those workflows, carrying ninety-five percent of the value in them, can be delivered with training and light configuration. No new software. No integration project. The capability is already sitting in the building.
That finding is the whole company. If the bottleneck were software, we would sell software.
Training
Trust
Everything else
We published the full finding, all 84 workflows. Read the research
How we work
We build adoption, not installations.
01
Operators, not consultants
Everyone here came out of healthcare. Multi-site clinic operations, payer and provider programs, EHR strategy, and in one case a clinic they built and ran themselves. You should not have to explain your own operation to the person you hired to improve it.
02
Time-boxed, not open-ended
Half a day. One day. Four weeks. Every engagement has a defined end and something working at that end. You are never buying a runway.
03
Your people, not our system
We do not install something you depend on us to keep alive. Your team builds it and your team runs it. That is the deliverable.
Start here
Half a day, and one workflow is live.
The AI Starter Workshop is where practices start. Three and a half hours, on-site or virtual, run on your workflows and your own data.
It is built around the objection every practice has. No role sits through content that is not theirs, and nobody is off the floor longer than their own track. Clinical staff keep seeing patients through the admin block, and the reverse.
Everyone leaves having run a real workflow on their own work. It is saved in the tools they already use, ready to run again on Monday.
Before we leave, we agree what to measure. Thirty days later we come back and measure it with you. You get the result in writing. What changed, what it saved in your own dollars, and what is worth doing next.
How we report the return
Every engagement ends with the return calculated on your own numbers.
Cash you can bank, time you free up, cost you avoid. Three different things, and we never add them into one. Most vendors give you the total. You cannot take a total to a lender, a partner meeting or a budget.
The people
Who actually shows up
Most AI consultancies are engineering firms that learned healthcare from a deck. We came the other way.
Everyone here came out of healthcare. Every Practice Lead has spent years operating, leading and managing multi-site clinics. We know what an in-basket backlog does to a Friday, why the biller built that workaround, and which steps are clinical judgment and should never be automated at all.
You cannot train a front desk, a biller or a provider on work you have never done yourself.
Kamran Qamar
Stacy Harmelink
Ray Manahan, MHA, PMP
Ashley Toro
John Hickey, DC
HIPAA
Ask your team which AI tools they actually use. The list is longer than the one you approved.
Every engagement is designed with compliance as a baseline. We work only with tools that operate under a Business Associate Agreement, and no patient data enters a tool during training.
More than four in ten healthcare workers say they know a colleague using AI their organization never approved. Not a vendor tool with a signed agreement. A personal account, a downloaded app, a workaround nobody sanctioned.
None of that is malicious. It is faster, and the person doing it is trying to get through their day. It is also where the patient data goes.
Every engagement starts by finding what is actually in use, so you can decide what to sanction and what to replace.
The first conversation is always worth having.
Twenty minutes. We find where your practice has the most room to move, and whether we are the right fit to help.
Book a call