Machine learning trained on payer rules and denial patterns, verified by certified billing experts on every high-stakes decision.
Every claim runs the same path. AI does the repetitive checks; a certified coder makes the judgment calls.
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.
Every claim checked against coding rules, modifiers and payer-specific requirements before submission.
Models trained on payer behavior flag high-risk claims before they are ever sent.
Common errors — modifiers, eligibility mismatches, coding conflicts — fixed automatically.
Accounts receivable worked by recovery probability, not just by age.
Collections, denials, AR aging and payer mix, visible any time, not just monthly.
Works inside 20+ EHR, EMR and PMS systems, plus every major clearinghouse.
We're specific about this, because "AI-powered" means nothing if nobody tells you what the AI is actually allowed to do.
No claim leaves Sterling without a human being accountable for it.
Using AI on healthcare data raises fair questions. Here's our answer: PHI is encrypted, access is role-restricted and logged, and our team is HIPAA-certified.
We are also transparent about where PHI is processed — see our HIPAA Compliance page for the full picture.
Book a free, zero-risk pilot audit — no setup fees, no long-term contract.
