BUILT FOR INDIAN HEALTHCARE

Reduced fraud, accelerated payments

Clinician-trained AI that finds missed diagnoses, unbilled procedures and documentation gaps across PM-JAY, CGHS/ECHS and TPA claims

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Built for Indian provider organisations

Tertiary care chainsPM-JAY empanelled hospitalsTrust & charitable hospitalsSingle-specialty groups

Revenue at scale

Diagnoses & procedures

10,000+

diagnoses and procedures mapped across ICD-10, PM-JAY HBP 2.0 packages and CGHS/ECHS tariff logic

Sustained ROI

6:1 ROI

starting from the first billing cycle

NET REVENUE SAVED

₹4.5 Cr

in annual realised net revenue saved per 10,000 in-patient discharges

Our products

Built for real Indian
clinical workflows

Pre-Bill AI™ India

Pre-bill revenue intelligence across PM-JAY, CGHS/ECHS, TPA cashless and cash in-patient billing

Reads the full clinical and billing record to surface missed diagnoses, comorbidities, implant and consumable charges, and unbilled procedures
Maps documentation to the correct PM-JAY HBP 2.0 package, CGHS/ECHS tariff line or payer-negotiated rate before the claim is raised
Flags the exact evidence TPAs and state health agencies ask for, cutting query cycles and part-payment deductions
Fits existing HIS/HMIS, billing and TPA desks — Insta, HealthPlix, custom HIS and ABDM-aligned records

Measured impact from live deployments

₹2.8 Cr+

Revenue recovered

44%

Deductions reduced

6:1 ROI

From cycle one

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RevNote AI™ India

AI clinical documentation for high-volume Indian OPD and IPD — dictate, complete and tighten notes in real time

Real-time dictation with Indian English and mixed-language accents, plus regional-language patient summaries
Automatic detection of documentation gaps that trigger TPA queries and NABH audit findings
Works across cardiac, ortho, onco, obstetrics, critical care and day-care specialties
Built for 60+ OPD footfall per consultant without adding physician screen time

Measured impact from live deployments

Faster notes

96%

Note completeness

42%

Less admin time

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Our technology

Reinforcement Learning with
Clinician Feedback (RLCF)

Tuned to Indian clinical documentation practice, scheme tariffs and payer behaviour so every recommendation stands up to a TPA reviewer or state agency audit.

Clinician feedback loop

Models learn from Indian consultants, coders and billing teams across tertiary care, trust hospitals and multi-city chains — so recommendations match how care is actually documented here.

Built for Indian reimbursement frameworks

Configurable support for PM-JAY HBP 2.0, state scheme tariffs, CGHS, ECHS, ESIC, railway and PSU panels, IRDAI cashless workflows, ICD-10 and GST-compliant billing lines.

Data residency and compliance first

End-to-end encryption, India-resident hosting, DPDP Act 2023 aligned consent and audit trails, ABDM-ready interfaces and SOC 2 Type II controls.

Validated in Indian hospital reality

Deployed where a single case can span a scheme package, a corporate panel and a cash component — with pharmacy, implants and diagnostics billed across departments.

Clinical data

Case sheet, OT notes, pharmacy & billing docs

RLCF engine

Clinician-supervised AI

Verified output

Gaps, evidence, ₹ impact

Outcomes

From Indian hospital floors

“Within three months our team was catching unbilled implants, missed comorbidities and wrong PM-JAY package selection before claims left the hospital. Documentation quality improved and so did realisation.”

Dr. R Menon

Medical Superintendent, 750-bed tertiary hospital, Kochi

₹1.9 Cr

Revenue captured

“TPA deductions were our biggest silent leak. The platform showed us the evidence gap behind each likely deduction, so our billing desk fixed it pre-submission instead of appealing for months.”

S Iyer

Head — Revenue Cycle, multi-city hospital chain, Chennai

44%

Deductions reduced

“Our coders were spending their day on file chasing. Now the system points them to the cases most likely to have a scheme or panel opportunity, with the clinical evidence attached.”

Dr. A Bhatt

Clinical Director, Ahmedabad

160 hrs

Pre-bill review saved monthly

“Cashless queries used to bounce two or three times. The pre-bill checks cut that sharply, which improved our discharge turnaround for insured patients.”

N Reddy

GM Operations, 400-bed hospital, Hyderabad

31%

Faster cashless discharge

“Implementation was straightforward on our existing HIS. By the second quarter the ROI was obvious to the board without adding a single FTE.”

Dr. P Sharma

CEO, hospital group, NCR

ROI in year one

See how much revenue
your hospital is losing

We analyse 50 discharged cases across scheme, panel and cash billing to detect revenue leakage — no cost, no HIS change.

Request audit →contact@syauctus.com