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Every estimate accurate. Every charge billed.

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 audit An 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

  1. AI reads the bill against the rules, the case file, the EMR, the notes, the tariff and the estimate.
  2. Each finding quotes its evidence, for example “EHR p.73”.
  3. 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

  1. Builds the financial-counselling estimate from the tariff, packages and room tier.
  2. Applies the insurer’s policy: room-rent cap, copay and exclusions.
  3. 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

  1. AI checks the counselling SOP was followed: inclusions, exclusions, expected out-of-pocket amount and what insurance has approved.
  2. It spots drop-off risk, such as “this is much more than we expected” or “let me check other hospitals”.
  3. 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

  1. Tracks pending deposits and payments through the stay.
  2. Follows up with the family, and triggers re-counselling when the bill grows past the estimate.
  3. 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.

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