AI agents that audit every bill, build estimates that hold, check every counselling conversation and collect dues while the patient is still in the hospital.
Built for hospitals.
Bill audit, read by AIExample
“Room rent billed above the policy cap. ₹4,200 flagged.”
Finding
Bill auditAn illustrative example
Estimate vs final billChecked
Billing rulesChecked
Case file and EHRChecked
FindingsFor review
Status
Reviewed row by row
The problem
Charges slip through the bill unseen. Estimates differ from the final bill. Patients drop off after counselling. Dues build up once the family goes home.
Module 1Flagship
Bill Audit
Every missed charge found before the patient pays.
Before the final bill closes, AI audits it against billing rules, the patient case file, the EMR, doctor and nursing notes, tariffs and packages, and the estimate.
How it works
AI reads the bill against the rules, the case file, the EMR, the notes, the tariff and the estimate.
Each finding quotes its evidence, for example “EHR p.73”.
A reviewer approves each finding before the bill is corrected.
What you get
5–10 minutes per bill.
Estimate-to-bill gaps flagged and explained, so estimates get more accurate over time.
Every finding backed by evidence you can check.
3,000+inpatient bills audited
₹1 crore+revenue leakage identified
Module 2
Estimate Builder
An estimate the final bill will match.
So the patient knows the real out-of-pocket amount up front and is not surprised at billing.
How it works
Builds the financial-counselling estimate from the tariff, packages and room tier.
Applies the insurer’s policy: room-rent cap, copay and exclusions.
Shows the patient the real out-of-pocket amount before admission.
What you get
An estimate that holds at billing.
Fewer surprises: a quote of ₹2,00,000 that would have become a ₹3,50,000 bill is caught early.
Policy rules applied the same way every time.
Module 3
FC Scribe
Every counselling conversation, checked against your SOP.
A tabletop device in the financial-counselling room listens as the counsellor explains the estimate and insurance coverage.
How it works
AI checks the counselling SOP was followed: inclusions, exclusions, expected out-of-pocket amount and what insurance has approved.
It spots drop-off risk, such as “this is much more than we expected” or “let me check other hospitals”.
The FC manager is alerted with the reason, so the team can clarify and retain the patient.
What you get
Multilingual, with sessions recorded.
A knowledge repository for counsellors.
Drop-off alerts that say why.
1 lakh+financial counselling and admission conversations captured
Module 4
Due Mobilisation
Deposits and dues collected while the patient is still in the hospital.
How it works
Tracks pending deposits and payments through the stay.
Follows up with the family, and triggers re-counselling when the bill grows past the estimate.
Escalates the cases that need a person.
What you get
Dues followed up through the stay.
Visibility of drop-offs between counselling and admission.
Tell us where your revenue leaks.
Book a walkthrough of the Revenue modules. We reply by email.