Sterling's AI claim engine scrubs, predicts and auto-corrects every claim in real time, while certified billing experts fight for every dollar your practice is owed.
*Industry benchmarks (HFMA, MGMA, Kodiak Solutions) we're built to hit, Sterling has no live clients yet to report measured results from.
Our team logs into the software you already use, so there's nothing new for your staff to learn. 20+ EHR, EMR and PMS platforms, plus every major clearinghouse.
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Our AI reviews every claim against payer rules the moment it's created, then our billing team handles the rest, end to end.
Every claim runs the same AI-assisted path, with each step verified by a certified billing expert.
Real-time eligibility & benefits checks stop front-end rejections before the visit.
AI validates ICD-10, CPT & CDT codes, modifiers and payer rules on every claim.
Machine learning flags high-risk claims and auto-corrects them before submission.
Clean claims submit same-day; AI chases AR by recovery probability first.
Ten integrated services working together to stop revenue leaking out of your practice.
Real-time coverage checks before every visit stop front-end rejections at the source.
front_endDeductibles, co-pays and plan limits confirmed so patients know their responsibility upfront.
front_endSubmission, medical-necessity documentation and payer follow-up for faster approvals.
front_endAccurate ICD-10, CPT and HCPCS coding with AI validation on every claim.
mid_cycleEnd-to-end billing from charge capture through claim creation and submission.
mid_cycleAI-scrubbed clean claims submitted same-day with a 98% clean claim rate.
mid_cycle30/60/90+ aging worked by AI recovery-probability score, so the biggest dollars get chased first.
back_endRoot-cause analysis, corrections and aggressive appeals that turn denials into payments.
back_endAutomated ERA/EOB posting, adjustments and patient payment reconciliation.
back_endWeekly revenue reports, clean-claim rates, denial trends and real-time KPI dashboards.
insightClick through what your practice sees every week.
Sample dashboard data shown for illustration, not figures from a live Sterling client.
Track exactly what's coming in, and what should be. Sterling flags the gap between what you billed and what you actually collected.
See exactly which payers deny most, why, and what the AI corrected before submission. No more guessing where the money went.
The AI works your aging buckets by recovery probability, not by date. The claims most likely to pay get chased first.
Payer-level performance shows who pays fast, who denies most, and where your contracts are underperforming.
Most billing companies send a monthly PDF that tells you nothing. Here's what we report instead, and what we're accountable for.
What % of your claims are accepted on first submission. If it isn't climbing, we explain why.
Not just how many were denied: which category, which payer, and what we changed to stop it.
How long your money sits unpaid, broken down by aging bucket.
What you billed versus what actually arrived, and where the gap is.
How many denials we overturned, and how much that recovered.
Every metric tracked over time, so you can see whether things are actually improving.
Want a free audit of these numbers for your practice? Book a consultation →
Move the sliders. See what Sterling could recover for your practice.
This is an illustrative estimate, not a guarantee, Sterling has no live clients yet to report averages from. It models your numbers moving toward published industry benchmarks: denial rate toward the MGMA/Kodiak best-in-class threshold of under 5%, and days in AR toward the HFMA benchmark of 30–40 days.
Most billing companies fix errors after denials arrive. We prevent them before the claim leaves.
| Capability | Sterling AI | Traditional biller | In-house staff |
|---|---|---|---|
| Error detection | ✓ Pre-submission AI scrub | ✕ After denial | ✕ Manual, inconsistent |
| Denial handling | ✓ Predicted & prevented | ✕ Reactive appeals | ✕ Often written off |
| Clean claim rate | ✓ 98% target* | 75–85% | 70–80% |
| Submission speed | ✓ Same day | 2–5 day batching | Varies with staffing |
| AR prioritization | ✓ ML recovery-scored | ✕ Oldest-first | ✕ Whoever has time |
| Reporting | ✓ Real-time dashboards | Monthly static PDF | ✕ Rarely produced |
| Cost model | ✓ % of collections | Flat fee + contract | Salaries + turnover |
| Coverage | ✓ 24/7, never sick | Business hours | ✕ PTO gaps |
*98% is the clean claim rate benchmark published by the Healthcare Financial Management Association (HFMA), the target our AI is built to reach, not yet a measured Sterling client average, since we have no live clients to report on.
Sterling is a new company with no live clients yet, so instead of claiming results we haven't measured, here's what we're built to hit, published third-party benchmarks for high-performing billing operations.
We'll audit your denial rate, AR aging and coding accuracy, then show exactly how much more your practice could collect. No obligation, no contract.
🔒 HIPAA compliant · Takes 2 minutes · A real person replies within 24 hours
Denial rate, AR aging, top denial reasons.
Exactly where revenue is being lost, and why.
What it's worth to fix, in dollars, not promises.
No pressure. No contract. Walk away if it's not for you.
Ask our AI agent for an instant recovery estimate, or book a free pilot. No contract, no setup fees.
