"Let AI Run
Revenue Cycle Management."

The intelligent AI platform that connects hospitals, patients, and insurance companies — validating clinical documentation, improving coding accuracy, and maximising first-pass claim acceptance before a claim reaches the payer.

LARI by TIBRA AI

Coming Soon

Smarter Validation  ·  Faster Claims  ·  Higher Revenue

app.tibratech.com · LARI — Revenue Cycle

Claims Pipeline
Clinical Validation
Coding Review
Insurance Compliance
Analytics
Documentation
CLM-2024-0891
Sarah Mitchell — Hypertension
I10 · CPT 99214
AI Validating
CLM-2024-0892
James O’Brien — Diabetes T2
E11.9 · CPT 99213
AI Validating
AI Review
CLM-2024-0888
Anika Patel — Mental Health
F32.1 · CPT 90837
Documentation Gap
CLM-2024-0889
Michael Tran — Cardiology
I25.10 · CPT 93000
Checking Payer Rules
Ready to Submit
CLM-2024-0885
David Kim — Annual Wellness
Z00.00 · CPT 99395
Approved for Submission
CLM-2024-0886
Rachel Ford — Telehealth
Z12.11 · CPT 99441
Approved for Submission
Submitted
CLM-2024-0880
Linda Zhao — Follow-up
I10 · CPT 99213
Reimbursed
CLM-2024-0881
Chris Park — Referral
M54.5 · CPT 99243
Reimbursed

LARI AI — Analysing documentation against payer rules in real time

98.4% first-pass rate

Connect the Entire Healthcare
Ecosystem with One Click

LARI seamlessly connects hospitals, patients, and insurance companies into a single intelligent workflow — enabling faster, smarter, and more accurate claims processing from documentation to reimbursement.

AI-Powered Revenue Cycle Intelligence

Four pillars of intelligent revenue management.

LARI’s intelligence operates across four interlocking capabilities — each designed to catch errors before they become rejected claims.

01
Intelligent Clinical Data Validation

Every piece of clinical documentation is analysed before a claim is submitted — ensuring completeness, consistency, and coding accuracy across the entire patient record.

  • Validate clinical notes, investigations, procedures, medications, and service orders
  • Ensure documentation completeness and coding consistency
  • Analyse every clinical element for payer readiness before submission
02
Smart Clinical Coding Assistance

LARI reduces the coding burden for physicians and coders by surfacing AI-assisted ICD and CPT recommendations — and flagging gaps before they reach the payer.

  • AI-assisted ICD-10 diagnosis and CPT procedure validation
  • Identify missing diagnoses and unsupported procedures
  • Detect documentation gaps before claim submission
03
Clinical Intelligence Engine

LARI analyses every clinical element for completeness, consistency, and payer readiness — across the full breadth of the clinical record.

  • Clinical notes and SOAP notes
  • Laboratory, radiology, and procedure orders
  • Medication orders and ICD diagnoses
  • CPT and procedure codes
04
Insurance Compliance Validation

LARI compares clinical documentation against insurance requirements — ensuring every claim meets policy, necessity, eligibility, and authorisation standards before submission.

  • Policy compliance and medical necessity verification
  • Coverage eligibility and coding accuracy checks
  • Authorisation requirements and documentation sufficiency
Clinical Intelligence Engine

Every clinical element.
Analysed before submission.

LARI’s AI engine scrutinises every layer of the clinical record — ensuring nothing is missing, inconsistent, or non-compliant when the claim reaches the payer.

Instead of identifying errors after rejection, LARI detects and resolves issues before the claim is generated — turning a reactive process into a proactive one.

Clinical Notes
SOAP Notes
Laboratory Orders
Radiology Orders
Procedure Orders
Medication Orders
ICD-10 Diagnoses
CPT / Procedure Codes
AI that Prevents Claim Rejections

Fix errors before they
become rejections.

Instead of identifying errors after submission, LARI detects and resolves issues before the claim is generated. Every inconsistency, documentation gap, and payer rule violation is flagged and corrected upstream — before the payer ever sees the claim.

LARI automatically detects coding inconsistencies, identifies missing clinical evidence, flags documentation gaps, verifies ICD/CPT relationships, checks payer-specific validation rules, and recommends corrections before submission.

Pre-submission AI check — Claim CLM-2024-0888
Clinical notes — complete and consistent

Pass

ICD-10 F32.1 — supporting documentation

Gap detected

CPT 90837 — medical necessity check

Insufficient notes

Payer rule validation — Medibank Private

Pass

Prior authorisation — confirmed

Pass

LARI recommendation: add session duration and clinical rationale to notes before submission

Action required

Insurance compliance — real time
Policy compliance — verified against payer schedule

Compliant

Medical necessity — clinical evidence sufficient

Confirmed

Coverage eligibility — patient active on policy

Verified

Coding accuracy — ICD/CPT relationships valid

Confirmed

Prior authorisation — reference on file

On file

Documentation sufficiency — ready to submit

Ready

Insurance Compliance Validation

Every claim checked
against every payer rule.

LARI compares clinical documentation against insurance requirements before submission — verifying policy compliance, medical necessity, coverage eligibility, coding accuracy, authorisation requirements, and clinical documentation sufficiency in real time.

No more claims returned for missing authorisation numbers, insufficient clinical rationale, or coding mismatches. LARI ensures every claim has the highest probability of success before it reaches the insurance company.

Improve First-Pass Claim Success

The outcomes that matter.

By combining AI-driven clinical intelligence with payer rule validation, LARI helps healthcare organisations achieve measurable financial results from day one.

98.4%
First-pass claim acceptance rate
Versus the industry average of 82% — a direct result of pre-submission AI validation.
62%
Reduction in manual coding effort
AI-assisted ICD and CPT suggestions reduce the time coders spend on each claim.
3×
Faster reimbursement cycles
Claims submitted right the first time are reimbursed significantly faster by payers.
Zero
Avoidable denials with full validation
Documentation gaps, payer rule violations, and coding errors caught before submission — not after.

Why LARi AI that empowers your
revenue cycle team.

“AI does not replace your revenue cycle team — it empowers them.”

LARI works alongside clinicians, coders, and revenue cycle professionals to ensure every claim submitted is clinically accurate, payer compliant, and optimised for successful reimbursement. Your team retains full control and clinical oversight at every step.

The result is a revenue cycle team that spends less time on rework and appeals, and more time on the strategic work that drives practice growth.

Smarter Validation. Faster Claims. Higher Revenue.

LARI ensures every claim has the highest probability of success — before it reaches the payer.
98.4%
First-pass claim acceptance
62%
Reduction in coding effort
3×
Faster reimbursement
100%
Pre-submission AI validation

Stop losing revenue to
avoidable denials.

Join healthcare organisations already transforming their revenue cycle with TIBRA AI. Book a demo to see LARI’s clinical intelligence engine in action.

Scroll to Top