
I put AI inside regulated work without letting it make the call. Law firms, medical practices, and other operators who cannot afford a wrong answer.
Workflow Audit
Credited Toward The Build
Decisions Made By A Model
Infrastructure You Own
The friction inside a law firm or a medical practice is almost never the software. It is the manual glue between it. Someone re-typing an intake form into a case system. Someone working out from memory which referral has gone quiet. The work that appears on nobody's job description and eats the week anyway.
The obvious move is to let the AI decide. In regulated work that is the one thing you cannot do. So I split it: the model reads documents and extracts facts, and a deterministic function no model touches makes the actual call. That split is why a decision can be audited line by line, and why a model outage degrades to a human instead of dropping the work on the floor.
So I build the automation I would be willing to defend in front of a regulator. Every step leaves a trail. The infrastructure sits in your accounts rather than mine, so leaving is a handover and not a hostage negotiation. And the judgment stays where it belongs, which is with you.
Three principles that guide every project I take on.
The model is allowed to read, extract and route. It is never allowed to decide. The call is made by deterministic code you can read line by line.
One-off campaigns are a waste. I build systems that compound over time. Infrastructure that works whether you're paying attention or not.
If a decision cannot be explained to a regulator, a partner or a patient, it does not ship. Every step leaves a trail, on infrastructure you own.
Modern tools. Enterprise-grade results.
Platform
Analytics
Tracking
Reporting
Acquisition
Development
Automation
Payments
If you have to do it twice, automate it.
My operating principle
Let's talk about your business. No pitch, no pressure, just an honest conversation about what's working and what's not.