Billing automation for regulated operations

Take the manual portal work
off your billing team.

I build browser automation that runs your eligibility checks, denial follow-ups, and remit posting in the payer portals that never gave you an API — then keep it running when those portals change. Built for regulated operations, on Microsoft's stack, by one engineer who stays accountable for it.

No-API payer-portal automation PHI-aware · runs in your environment C# · Azure · Playwright Phoenix, AZ · remote
01

No API. No budget for enterprise RPA. No one you'd trust near PHI.

The work that drains a billing operation is repetitive, rule-based, and stuck behind software that was never built to be automated. Here's why it stays manual.

The software

There's no API

Your clearinghouse and payer portals weren't built to talk to anything. So the work falls to people: log in, look it up, copy it out, paste it somewhere else, repeat — all day.

The money

Denials get written off

Around 11–12% of claims are denied on first pass, and a third to a half are never reworked. That's revenue you already earned, lost because no one had the hours to chase it.

The fixes

Nothing on the market fits

Enterprise RPA is priced for hospital systems and takes months to stand up. Offshore teams can't go near protected data. You need someone who can build it and own it.

02

Built around your claim's life — not a generic bot.

Automation lands where the same portal steps happen on every claim. These three are the usual starting points, at the three moments a claim passes through your team.

01Before the visit

Eligibility & benefits verification

Pull eligibility and benefits from each payer portal automatically, so front-office staff stop checking one patient at a time and clean claims go out the first time.

Log in, search each member, read coverage by hand Verified in batch, flagged exceptions only
02After adjudication

Denial follow-up & work

Read the denial, route it by reason, and tee up or file the corrected claim — so denials get worked the day they land instead of aging in a worklist nobody gets to.

Worklist backlog, denials aging past timely filing Triaged and actioned same-day
03At payment

ERA / EOB posting

Capture remittances and post them back where they belong, without a person keying line items off a PDF into your billing system.

Hand-keying remits, line by line Posted automatically, reconciled

And the rest of the repetitive portal work — status checks, downloads, re-keying between systems. If a person does it the same way every time, it's a candidate.

03

Assessment, build, then managed — because this needs upkeep.

Browser automation breaks when portals change. A service that's maintained is worth far more than a script that isn't — so the engagement is built that way from day one.

Step 1 · one-time

Assessment

$3,000 · credited toward build

A focused look at your workflows with your real numbers in the ROI model, and a straight recommendation on what to automate first — and whether it's worth it.

Step 2 · one-time

Build

$5,000 first workflow · +$3,000 each

I build, test, and launch the automation in your environment — credentials and sessions held securely, dedicated service accounts, nothing running off someone's desktop.

Step 3 · monthly

Managed

$3,500/mo · +$2,000 each workflow

I run it, monitor it, and keep it alive as payer portals shift — plus support and ongoing improvements. That upkeep is the service, not an add-on.

12-month minimum term, which keeps the build affordable up front. Figures are typical ranges for mid-market, multi-location operations — not a binding quote.

04

I've shipped automation into regulated environments before.

Not a pivot into a field I don't know — this is the work I've been doing, pointed at the problem that's bleeding billing operations.

Production LLM · regulated healthcare

Shipped GPT-4 into a live clinical workflow

+20% / −10%
user engagement lift · support response time cut — inside a regulated product
Automation · aerospace

One automation project, compounding for years

$1M+
modeled cumulative impact at a Fortune 500 aerospace operation
Scale · throughput

From one-at-a-time to hundreds in parallel

~100×
throughput increase by parallelizing a sequential workflow
Infrastructure · compliance

A hardened, rebuildable Azure environment

100% IaC
fragile single server → managed Azure, fully infrastructure-as-code
05

Compliance and terms of service, handled out loud.

The reason most people won't touch this work is the same reason it's valuable. Here's how I handle the parts that matter.

Runs in a hardened environment

Credentials and sessions live in Azure Key Vault on dedicated service accounts — not on a staffer's laptop, not in a spreadsheet.

PHI stays where it should

Built for regulated data flow. I work inside your compliance posture, not around it, and scope every build to the minimum data it needs.

Portal terms — on the table day one

Some payer portals restrict automated access. I'll raise that before we build, not after. It's a decision we make together, not a risk I hide.

06

A translator between regulated operations and modern automation.

Most automation help is one of two things: a big RPA vendor that doesn't understand your floor, or a developer who's never touched a regulated workflow. Both leave you doing the translation yourself.

My background runs through aerospace, manufacturing, fintech, and healthcare — and through C#, SQL, Azure, and browser automation. I speak the operations side and the engineering side, which is exactly what no-API automation in a regulated shop demands. It's a rare combination to find in one person you can actually hire for this.

C# / .NETSQL ServerAzurePlaywright Key VaultBrowser automationProduction LLM

Let's find one workflow worth automating.

Fifteen minutes. Bring the workflow that wastes the most time, and I'll tell you honestly whether automation pays — before anyone commits to anything.

Founding clients (first three): build fee waived in exchange for a documented case study and a reference call.