AI that speeds up recovery, with a person signing off.
AI is good at spotting patterns across thousands of claims. It is not licensed to code, and it does not know your payer contracts. Our model: software flags and drafts, a credentialed coder or AR specialist decides.
Every place AI touches the revenue cycle.
Each guide explains what the AI does, where it fails, and the human check we put around it.
AI in RCM: the overview
Where AI genuinely helps the revenue cycle, where it fails, and how to use it safely.
Read the guideDenial prediction
Scoring claims for denial risk before submission, so fixes happen before the payer sees them.
Read the guideCoding cross-checks
Comparing operative notes with CPT codes and modifiers to catch missed or unsupported lines.
Read the guideAppeal drafting
Drafting appeals that cite the op note and the payer's own policy, finished by a person.
Read the guidePrior authorization
Checking auth requirements, assembling clinicals and tracking status for procedures.
Read the guideEligibility checks
Automated benefits checks and coverage discovery before the patient arrives.
Read the guideUnderpayment detection
Comparing every allowed amount with the contract to surface short payments.
Read the guideAR prioritization
Ranking aged claims by likely recovery and deadline so the team works the right ones first.
Read the guidePayer policy tracking
Watching payer bulletins and LCD changes that affect your codes.
Read the guideAI for NSA / IDR
Tracking dispute deadlines and assembling evidence packages for IDR.
Read the guideCharge capture
Spotting documented services that never made it onto a claim.
Read the guideHIPAA and human review
The safeguards every practice should require before AI touches PHI.
Read the guideHuman in the loop, by design.
No AI output is submitted to a payer without review by a credentialed person.
- PHI is processed only by vendors under a signed Business Associate Agreement.
- Minimum-necessary data: models see only the fields a task needs.
- No use of practice data to train third-party public models.
- Every AI suggestion is logged with the reviewer who accepted or rejected it.
- Coding decisions follow CPT, ICD-10-CM and NCCI rules, not model output.
All AI in RCM guides
10 minutes. One screen. Your numbers.
A short Google Meet with Rohit to look at where your revenue stalls and whether contingency recovery makes sense for your practice. No software change, nothing to pay up front.