You see the leaks. ANKA fixes them

Payers are using AI to deny claims faster than your team can appeal them. Denial rates are up for the 4th straight year, driving up aging AR. Even at 20 minutes per appeal, a human can’t keep pace — and while your staff works one claim, thousands in underpayments slip through the cracks. AI processes 100 claims in the time it takes your team to work one.

Three revenue leaks. One AI that closes them all.

ANKA identifies underpayments, writes the appeal, files the dispute, follows up with your payer, and posts the payment.
No staffing. No offshoring. No backlog. You collect the cash.

 
Watch the 90-second overview
1:30

35–50%
Increase in Collections
Up to 50%
Lower Cost to Collect
Up to 60%
Reduction in 90+ Day A/R
4 Weeks
To Go Live

Your revenue cycle is losing money in three places at once

Most healthcare organizations today face three simultaneous revenue leaks: claim denials, underpayments, and aging AR. The root problem isn’t effort—it’s execution. Payers are increasingly deploying AI to deny faster, while providers are still fighting back with manual processes and fragmented systems. Hiring more staff won’t close the gap. Offshoring won’t close it either. The only scalable way to keep up is AI-driven execution.

11.8%
Leak 1: Denials
Initial claim denial rate in 2024, up for the 4th consecutive year. Source: MGMA
3–7%
Leak 2: Underpayments
Of claims are paid below contracted rates. Source: MGMA
<15%
Leak 3: Aging AR
Chance of collection after 120 days. 32% of practices wait that long to act. Source: CMS, MGMA
65%
Never reworked
Of those denials, 65% are never resubmitted. Revenue earned, never recovered. Source: HFMA
$12–15M
Annual leak
Combined recoverable revenue loss for a 50-provider group across all three leaks.
1
Solution
ANKA executes across all three: appeals filed, disputes sent, payers called, payments posted.
 

Payers brought AI to the fight. ANKA fights back.

Six capabilities. One platform. Everything after claim submission

ANKA handles the entire post-submission revenue cycle — from unified AR visibility through autonomous resolution, self-learning orchestration, and executive intelligence.

Glass-pane interface

A unified AR view across EHRs, billing systems, clearinghouses, and payer portals, enriched with payer rules, historical outcomes, filing limits, and payment timelines.

See the interface →

AI-driven claim prioritization

Machine learning ranks every claim by recovery probability, dollar value, aging, and payer behavior. High-impact claims rise to the top automatically.

How prioritization works →

Orchestration layer

The decision engine determines the next best action for each claim — using payer rules, provider-level nuances, and denial context.

How decisions are made →

Autonomous resolution

Autonomous AR actions—appeals, resubmissions, document uploads, and follow-ups—with complex claims routed to humans prepackaged with data.

See autonomous workflows →

Self-learning orchestration

ANKA learns from every claim outcome. Prioritization, routing, and decision logic improve continuously — without manual rule updates.

How the system learns →

Revenue leakage intelligence

Identifies underpayments, recurring denial patterns, and payer behavior anomalies. Prescriptive insights for CFOs, not just dashboards.

How intelligence works →

 

388 RCM vendors. Ask each one: “Do you execute, or just recommend?”

The answer separates every vendor in the market into three levels. Only one level actually closes the three leaks.

Level 1 — Reports

Shows you the leaks

Dashboards, charts, aging reports. You see all three leaks. None are plugged. Most RCM analytics vendors, EHR tools, clearinghouses.

Level 2 — Recommends

Tells your team what to work

Suggests which claims to appeal first. Your team still does all the actual work. Most AI platforms.

Level 3 — ANKA — Executes

Closes all three leaks

Writes & files the appeal. Identifies & disputes the underpayment. Calls the payer IVR. Posts the payment. All three leaks closed.

 

Built for mid-market healthcare. Not scaled down from enterprise

“I can’t find or keep billing staff.”

Physician groups — 10–50+ providers

Cardiology. Anesthesia. Pain management. ANKA runs everything after claim submission. Your team of 3 works like a team of 30.

Calculate Your ROI →

“Revenue is leaking and I can’t see where.”

Community & rural hospitals

1% margins. 3–5% leakage. We work denials, recover underpayments, follow up with payers, and post payments.

Calculate Your ROI →

“I need operating leverage across the portfolio.”

PE-backed healthcare organizations

Deploy ANKA at every portfolio company. Same playbook. 30–50% cost-to-collect reduction. EBITDA improvement through execution.

Calculate Your ROI →

“My team is drowning.”

Revenue cycle leaders

Your people handle what needs human judgment. ANKA handles the other 90% of the revenue cycle workload.

Calculate Your ROI →

We guarantee the outcomes in the contract

Traditional vendors sell FTEs or subscriptions. You pay whether results improve or not. ANKA sells outcomes with performance-based SLAs in writing.

Start: contingency recovery

Zero upfront cost. Zero monthly fee. We recover underpaid claims. You pay a percentage of what we find. If we find nothing, you owe nothing.

Typical first finding: $100K+ in recoverable underpayments.

Expand: full revenue cycle execution

Outcome-based pricing for end-to-end back-end RCM. SLAs on clean claim rate, denial rate, AR days, and net collections. Miss the target? Your fees go down automatically.

Near-zero marginal cost. 1,000 claims costs us the same as 100.

Serving healthcare organizations across the Southeast & Southwest

ANKA partners with physician groups, hospitals, and PE-backed healthcare organizations across the U.S., with strong presence in Florida, Texas, Georgia, and Oklahoma.

Florida

Miami, Tampa, Orlando, Jacksonville, Fort Lauderdale, St. Petersburg, Tallahassee

Texas

Houston, Dallas, San Antonio, Austin, Fort Worth, El Paso, Arlington

Georgia

Atlanta, Augusta, Savannah, Columbus, Macon, Athens, Sandy Springs

Oklahoma

Oklahoma City, Tulsa, Norman, Broken Arrow, Edmond, Lawton, Moore