Building AI agents for the back office of medical practices
5 Workflows Automated6 Doctors Using Tools30+ Hours/Week Saved
Layra website.
I grew up around my mom's rheumatology practice and always knew healthcare was more manual than it should be.
But I did not fully understand how much of a medical practice runs on repetitive administrative work until I came home and started building inside the office myself.
At first, I was not trying to build a company.
I was just trying to automate the work that was slowing the practice down.
I started with patient records, building tools to organize messy clinical information and make patient history easier to review. Then I moved into lab analysis, creating systems that could process results, surface important values, and make review faster.
From there, I built automations for charting, payment posting, and denial tracking.
Each workflow exposed the same pattern: valuable staff were spending hours every week moving data between systems, reviewing documents, checking portals, and manually deciding what needed to happen next.
Across patient records, lab analysis, charting, payment posting, and denial tracking, these tools saved an estimated 30+ hours per week inside the practice and created more than $50K in annualized operational savings by reducing manual administrative work.
The deeper I went, the more obvious the billing problem became.
Medical billing was not one task. It was dozens of fragmented workflows spread across EOBs, ERAs, claims, payer portals, denials, secondary insurance, patient balances, and follow-ups.
That became Billi.
Demo video
LayraDemo.mp4
Billi is an autonomous billing agent for medical practices. It reviews billing documents, helps post payments, tracks denials, monitors claims, and surfaces the actions that billing staff would otherwise have to find manually.
Layra became the company around that work.
What started as internal automation for one practice is now expanding beyond it. I began moving the lab analysis tools and Billi into other practices, and the tools are now being used across 6 doctors.
The goal is to turn the workflows I built by hand inside one practice into AI agents that can support thousands of medical offices.
Layra is built on a simple belief: small practices should not need large administrative teams just to survive billing, documentation, and insurance complexity.
The best doctors should be able to spend more time practicing medicine and less time fighting the systems around it.
Key takeaways
Key Takeaways
Built automation directly inside a real rheumatology practice
Automated 5 major workflows: patient records, lab analysis, charting, payment posting, and denial tracking
Saved an estimated 30+ hours per week in repetitive administrative work
Built Billi, an autonomous billing agent for medical practices
Expanded tools beyond the original practice, now used across 6 doctors
Learned healthcare operations from the inside instead of approaching it as an outside software problem
Turning internal practice automation into Layra, a company building AI agents for medical billing and back-office healthcare operations
