Dear Billing Agencies:
Your Stack Is Broken and You Know It.

We see you

This post isn't for doctors. It's not for nurses. It's not for the practice manager who also does payroll. This one is for you — the medical billing agency. The company that handles claims for 10 practices, or 50, or 200. The team that lives in clearinghouses and payer portals and spreadsheets tracking A/R aging by client, by payer, by bucket.

We know your world because we've studied it obsessively. And here's what we've learned: the tools you're using were built in the early 2010s for the workflows of the early 2010s. The billing landscape has changed. The tools haven't.

So let's be real about what's happening in your business right now.

The billing agency landscape in 2026 (it's rough)

The numbers paint a brutal picture:

The industry is projecting a shortage of 150,000 qualified billing professionals by 2028. You're already feeling it. Every biller who quits takes institutional knowledge — payer quirks, client preferences, coding patterns — out the door. Training a replacement takes 6–12 months. Meanwhile, claims pile up.

And on the other side, payers are getting smarter. Insurance companies are deploying their own AI for pre-payment review — flagging claims with surgical precision. The days of borderline claims getting approved are over. A denial that sits unworked for 30 days becomes exponentially harder to overturn. And a pattern of denials rooted in coding errors gets repeated across thousands of claims before anyone identifies the root cause.

Your clients expect you to catch everything. Your payers are trying harder than ever to deny everything. And you're doing it all with tools designed before the iPhone had Face ID.

The typical billing agency stack (be honest — this is you)

We've talked to dozens of billing agencies. Here's the stack most of you are running:

Six categories of tools. At least five logins. Some of you are running different PM systems for different clients — meaning you're learning three or four EHR interfaces, each with their own quirks, their own claim formats, and their own version of "where's the superbill."

And here's the part that really hurts: none of these tools talk to each other well. You're manually pulling data from the PM, manually verifying codes against documentation, manually building claims in the clearinghouse, manually tracking A/R in spreadsheets, and manually logging into payer portals to check claim status. The word "manually" appears five times in that sentence. That's not a workflow — that's a relay race where you're running every leg.

Where the problems actually live

Problem 1: You get terrible notes from providers

This is the original sin of medical billing. The provider writes a note — maybe it's complete, maybe it's not. Maybe the assessment supports a 99215, maybe the documentation only backs a 99213. You can't bill what's not documented, but calling the provider to clarify a two-week-old note is a time sink nobody has capacity for. So you downcode to be safe, and your client loses revenue they actually earned.

Problem 2: Coding is slow, manual, and error-prone

Your coder reads the note, interprets the clinical intent, assigns ICD-10 and CPT codes, checks modifiers, and verifies E&M levels. For a complex visit, that's 8–15 minutes per encounter. Across 30 clients with 100+ encounters per day, that's a full-time coder doing nothing but code assignments — and still making errors that cause denials downstream.

Problem 3: Denials are eating your capacity

Every denied claim requires research: pull the original claim, read the remark codes, cross-reference the note, figure out whether it's a coding error, a data entry error, a payer policy change, or a pre-auth miss. Then build the appeal or corrected claim. The average cost to rework a denial is $25–$118. If your agency handles 500 denials a month, that's $12,500–$59,000 per month in labor just chasing money you should've already collected.

Problem 4: Remittance reconciliation is a nightmare

ERAs come in from dozens of payers, each with different formats, different remark codes, and different payment posting conventions. Your team manually posts payments, identifies discrepancies, flags underpayments, and reconciles against what was billed. For a mid-size agency handling 20+ clients, this is a full-time job — and errors in posting create cascading problems in A/R reports, client invoicing, and compliance.

Problem 5: You can't see the big picture in real time

Quick — what's the current first-pass clean claim rate across all your clients? What's the average days-in-A/R by payer? Which client has the highest denial rate and why? If answering those questions requires pulling reports from three systems and building a spreadsheet, you don't have a dashboard — you have a detective assignment.

What AlfredCare does differently for billing agencies

AlfredCare wasn't built as "billing software for doctors." It was built as an end-to-end clinical workflow platform — and that includes the billing agency side. Here's what that means for your operation:

Your current stack vs. AlfredCare

Here's the honest comparison. We're not replacing your PM or your EHR — those are your clients' systems. We're replacing the patchwork of coding tools, clearinghouse gymnastics, spreadsheet A/R tracking, and manual denial management that's eating your margins.

The math that should get your attention

Let's say you're a billing agency managing 15 clients, processing 3,000 claims per month. Your current team: 4 coders, 3 claim submitters, 2 denial specialists, 1 A/R manager. That's 10 FTEs at an average loaded cost of $4,500/month each — $45,000/month in labor.

With AlfredCare in the workflow:

Coding drops from 8–15 min to 1–2 min per claim. Your 4 coders become 1.5 validators. That's 2.5 FTEs freed up or reallocated.

Denial rework drops from 20–45 min to 30 sec per claim. Your 2 denial specialists can handle 4x the volume — or you redeploy one to A/R recovery, where they generate revenue instead of chasing it.

Clean claim rate rises from ~82% to ~95%+. Fewer denials mean fewer rework cycles, fewer phone calls, fewer payer portal deep-dives.

Net effect: Same 3,000 claims. 30–40% less labor. Higher collections for your clients. Higher margins for your agency. Less burnout. Less turnover.

What this looks like for your billers day-to-day

Morning: Open AlfredBiller dashboard. See every claim across all clients — color-coded by status. Green = paid. Yellow = pending. Red = denied. New encounters from providers who use AlfredCare are already coded and pre-scored.

Mid-morning: Review and submit. Claims with a BIS score above 90 get batch-approved and submitted. Claims scoring below 75 get a quick fix — the system tells you exactly what's wrong.

Afternoon: Denial rework. Yesterday's denials are already inspected by AI. Each one shows the remark code, the root cause, and a corrected claim ready for approval.

End of day: Remittance posting. ERA data flowed in automatically. Payments are matched. Discrepancies are flagged. Your posting person reviews exceptions instead of manually entering every line.

Your billers go from production workers to quality controllers. Same people. Same expertise. Ten times the throughput.

Who this is for (and who it's not for)

This is for you if: You're a billing agency managing 5+ practice clients. You're tired of the tool patchwork. You want to scale without proportionally scaling headcount. You want to offer your clients better clean claim rates and faster A/R turnover as a competitive differentiator. You want your billers to stop burning out.

This might not be for you if: You're a one-person billing operation that only handles a handful of providers. You're exclusively handling hospital-system billing with deeply integrated enterprise RCM.

— Abdullah Ozturk, PhD
AI/ML Researcher & Co-Founder, AlfredCare · Albany, NY