Operations for medical clinics

Clinic teams are buried in administrative work that software should be doing.

Calls go unanswered. Intake comes in half-finished. Eligibility goes unchecked, prior authorizations stall, denials pile up. And staff keep moving the same information by hand between EHRs, phones, inboxes, and spreadsheets that were never built to talk to each other.

The cost is real: patients wait longer, staff burn out, follow-up slips, and revenue quietly leaks out through the insurance maze. We build AI operations software that takes this work off a clinic's plate, without taking the people who run it out of the loop.

For private practices, specialty clinics, urgent care, and multi-location medical groups.
Stage
Building in stealth
Focus
Clinic operations, with efficiency at the core
Built for
HIPAA-regulated environments and PHI-sensitive workflows
Right now
Building with real clinics and hiring early team members
01

The administrative load behind every visit.

Clinic teams aren't short on effort. They're short on hours that aren't spent coordinating. Most of the day goes to moving information between patients, providers, payers, and systems that don't sync.

Patient access
Calls, voicemails, scheduling, cancellations, and the no-show follow-up that slips.
Intake
Forms, missing details, histories, and consents, plus the back-and-forth to get a patient ready.
Referrals
Inbound and outbound referrals that need tracking, follow-up, and closure.
Eligibility & benefits
Coverage checks and plan rules, usually sorted one phone call at a time.
Prior authorization
Submissions, payer requirements, approvals, and constant status-chasing.
Denials & appeals
Rejected claims that have to be understood, corrected, and re-fought to get paid.
Revenue cycle
Billing questions, payment follow-up, coding, and patient balances no one can explain.
Records & handoffs
Chart cleanup, labs and next steps, and handoffs with no single source of truth.
Where it hurts most
The hardest, most expensive knot is insurance.

Eligibility, prior authorization, denials, and appeals are where care gets delayed and revenue quietly disappears. Payer rules shift, approvals stall, claims come back, and almost all of it is still done by hand. It's a big part of why good clinics run thin, and why so many end up selling just to stay open.

02

Built to be trusted with real clinic work.

Healthcare operations are hard because the stakes are real: patients, PHI, and rules that change by payer, plan, provider, and state. The cost of guessing is too high, so we build for control, traceability, security, and adoption from the start.

A person stays in control
Sensitive actions wait for human review before anything is sent, changed, escalated, or written back.
It shows its work
Every action is logged, reviewable, and tied back to the source information it used.
It knows when to stop
When a case is unclear, urgent, or outside policy, it hands off instead of guessing.
Built around your rules
Payer rules, escalation paths, staff roles, provider preferences, and the edge cases that define a clinic.
For HIPAA-regulated workflows
Audit logs, role-based access, permissioning, and secure data handling, designed in rather than bolted on.
Built for adoption
The best software fails if no one uses it. We help teams configure, train, and roll out at their pace.
03

Built for the people who keep clinics running.

Clinic operations aren't owned by one person. The work, and the decision to trust new software with it, runs across the whole team.

Owners & managing partners
More capacity and cleaner revenue capture, without adding headcount.
COOs & administrators
One standard of operations across locations, and visibility into what's slipping.
Front desk & patient access
Real backup on the phones and the inbox, so the queue stops winning.
Billing & revenue cycle
Fewer denials, faster approvals, and less revenue lost in the payer maze.
Clinical leaders
Judgment and patient-sensitive calls stay with people, not the software.
Compliance & security
Permissioning, audit logs, and a rollout they can actually sign off on.
04

Software only works if the team actually uses it.

Most clinic software fails the moment it's dropped in and staff are expected to change overnight. So implementation is part of the product. Adoption, not just automation, is the goal.

Step 1
Map the workflow
How the work really moves: the systems, roles, policies, and edge cases.
Step 2
Configure the rules
What the system can handle, what needs review, and what must be escalated.
Step 3
Train the team
When to trust it, when to step in, and how to review its work.
Step 4
Roll out safely
Start focused, measure outcomes, and expand as confidence builds.
05

Who we are.

We are a founding team with backgrounds from UC Berkeley, Stanford GSB, and NYU, with experience across computer science, sales, marketing, operations, finance, and artificial intelligence.

We have built, operated, scaled, exited, and advised technology businesses across complex consumer products, vertical software, and agentic AI. Our experience spans roles as founders, executives, advisors, and early team members.

But the reason we are building GlowOps is more personal than that.

We have seen healthcare bottlenecks up close: patients waiting for answers, families chasing next steps, and loved ones working in medicine trying to deliver care inside systems that make the work harder than it should be.

The healthcare system does not have an effort problem. It has an operations problem.

Clinic teams are stuck coordinating care across calls, forms, referrals, approvals, follow-ups, billing questions, and systems that do not talk to each other.

When the work around care does not scale, care itself cannot scale.

That is the work we are focused on.

The goal is simple: help clinics reach more patients, complete more follow-ups, reduce avoidable administrative burden, and give staff more time for the work that actually requires them.

06

We're early, and we're hiring.

We're building the AI operations layer for clinics, and we're early enough that the people who join now will shape what it becomes. Small team, hard and unglamorous problems, unusual leverage.

If you want to work close to real clinics, get deep in the workflows most software ignores, and own real parts of a vertical AI company, we'd like to meet you.

Whether you'd build with us, put it to work in your clinics, or back what we're doing, reach the team at team@glowopsai.com.