Your revenue moves through systems nobody has looked at in years.

We redesign the processes that move it: eligibility, provider data, prior authorization, payment reconciliation, denials and recovery. And the data layer they all depend on.

For health plans, provider groups, and MSOs.

How quickly can you answer these?

Every one of them has a real answer sitting in your systems somewhere.

How much revenue is sitting in claims we never sent?
Which denial reason are we paying for every month, and where does it start?
Why does finance report a different member count than quality does?
What breaks the day the person who maintains that spreadsheet leaves?
How many providers in our directory would fail an audit today?
If a payer changed a companion guide tomorrow, when would we find out?
How many screens does someone touch to work a single prior auth or denial?
Why does a one line policy change take a release to ship?

If getting to any of these takes three days and four people, the system underneath it is worth redesigning. That is the work we do.

What we do to answer them.

Six overhauls. Each one turns a question you cannot answer today into a number you can pull up.

Map the bottleneck.

We trace the slow step, and the business rule that stopped making sense four years ago.

Answers: where the money is stuck, and which denial keeps coming back.

Reconcile the data.

The warehouse and the transactional system stop disagreeing, and stay that way.

Answers: why finance and quality report different numbers.

Retire the spreadsheet.

The Access database, and the workbook of linked formulas only one person understands, become a system the whole team can use and audit.

Answers: what breaks the day that person leaves.

Connect the systems.

Full EDI and FHIR, plus the automated jobs that move data between them on time, every time.

Answers: when you would find out a payer changed something.

Move rules into tables.

A policy change stops needing a release, because your team configures it directly.

Answers: why a one line policy change needs a release.

Rebuild the screens.

Prior auth and denial workflows redesigned around how the work actually happens on a Tuesday.

Answers: how many screens it takes to work one prior auth or denial.

Whichever core platform you run, we work alongside it. What we own is the 837 going out, the ERA coming back, and the money that should have arrived in between.

Most of this is fixable without AI.

We build AI where it genuinely adds value, and never because it is expected of us. Most of what slows a health plan or a provider group down needs reengineering rather than a model, and we will tell you which one you are looking at.

Where it earns its place

High volume, repetitive work on rules that hold still. We build it, the work then runs itself, and anything genuinely ambiguous goes to a person with the reason it was flagged attached.

Where it does not

Anything touching a patient record or a care decision keeps human sign-off before it is acted on. Most of the rest was an engineering problem all along.

Read: your AI problem is probably a data problem ›

The smallest change that works.

Sometimes that is one job rewritten. Sometimes it is replacing a system outright. We tell you which before you spend anything, and we say so even when the smaller answer is worth less to us.

Consulting, or the platform.

Same capabilities either way. The difference is whether we do the work inside your team, or you run the software yourself.

Consulting

We embed with your team, overhaul what you already run, and hand it back documented. Your people own it when we leave.

Platform

The same capability areas as working software: provider data, EDI, prior authorization, FHIR, denials, and quality reporting.

Ask for a demo on the call ›

Where we have actually worked.

Every one of these is work we have done end to end.

Prior authorization Claim submission 837 Remittance and denials ERA 835 Risk adjustment Quality and Star ratings Utilization management Identity and access Provider data Eligibility 270 / 271 FHIR R4 CMS-0057-F

What we usually find.

Patterns we keep finding from the inside. Not case studies, and not a specific client.

Pattern

Too much of what the operation knows lives in one person's head, a legacy system nobody will touch, a spreadsheet only its author understands, or a process that was never written down.

Pattern

Volume tripled. The systems moving it never changed, so people have been absorbing the difference ever since, quietly, for years.

Who you work with.

Ajay Chaudhary

Ajay Chaudhary.

A career spent inside these systems, on the payer side and the provider side. I am personally in the work, with a small senior team behind me and specialists brought in when a problem needs one.

Connect on LinkedIn › Read the full story ›

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All insights ›

Bring us the number nobody can explain.

Thirty minutes. If we are not the right people for it, we will say so and point you somewhere better.

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