How we reduced a hospital's bill audit time from 2 hours to 30 seconds
Case Studies
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Ranveer Singh Ranawat
The problem
A multispecialty hospital was spending hours reviewing medical bills by hand.
Every claim had to be checked line by line against internal pricing standards and compliance requirements. Auditors manually looked for missing signatures, incorrect stamps, GST discrepancies, and procedures billed above approved rates.
With hundreds of claims arriving every month, the process had become a bottleneck.
Each audit could take close to two hours. Reviews were repetitive, inconsistent, and despite the effort, billing errors still slipped through.
The hospital wasn't looking for another dashboard.
They wanted a faster, more reliable way to audit every bill without increasing headcount.
What we found
We spent time understanding how the audit process actually worked before writing a single line of code.
Three problems became obvious.
Every bill was being reviewed manually
Auditors had to open multi-page PDF bills and inspect every line item individually. Most of their time wasn't spent making decisions—it was spent reading documents and comparing numbers.
Compliance checks were repetitive
Every claim required the same set of validations: signatures, stamps, GST details, pricing limits, and billing rules. These checks followed clear rules but were still being performed manually.
Small errors added up
Even minor overcharges often went unnoticed because reviewing hundreds of claims manually is difficult to do consistently. During one demonstration, a single line item contained a ₹105 overcharge—small enough to miss, but significant when repeated across hundreds of claims every month.
What we built
Rather than changing the hospital's workflow, we automated the audit itself.
Intelligent document processing
Users simply upload a medical bill in PDF format.
The system reads every page, extracts the relevant information, and understands the structure of the document without requiring manual data entry.
Automated audit engine
Every extracted line item is automatically validated against predefined business rules and a pricing database.
The system checks for:
Missing signatures
Missing or incorrect stamps
GST discrepancies
Line items billed above approved rates
Other predefined compliance violations
Whenever it finds an issue, it identifies the exact problem and calculates any overcharge automatically.
Ready-to-use audit reports
Instead of spending hours reviewing documents, auditors receive a structured report highlighting every flagged issue and the corresponding financial impact.
The audit is completed in under 30 seconds.
The human's role shifts from searching for problems to deciding what action to take.
The results
The impact was immediate.
Audit time reduced from approximately 2 hours to under 30 seconds
Every bill receives a consistent, rule-based review
Overcharges are identified automatically, including the exact financial impact
Auditors no longer spend their day manually reading documents—they focus on resolving the issues that matter
Most importantly, the hospital can now review far more claims without increasing the size of its audit team.
The takeaway
This wasn't really a healthcare problem.
It was a document processing problem.
Across industries, teams spend thousands of hours every year reviewing invoices, contracts, claims, forms, applications, and compliance documents by hand because "that's how it's always been done."
Healthcare just happened to be one example.
Finance, insurance, legal, logistics, manufacturing, and operations all have similar workflows where people spend more time finding problems than solving them.
Those are exactly the kinds of processes AI is best suited to automate.
At Foundry HQ, we build AI systems that eliminate repetitive operational work so teams can focus on decisions instead of manual review.