How AI-Powered VanaaEV™ Turned Revenue Leakage into Revenue Growth

150-provider behavioural health clinic

20,000 patients/month

Fragmented RCM execution

Errors in manual work

75% → 91%

clean claim rate

99%

eligibility accuracy with VanaaEV

~15%

revenue increase

Executive Summary

Client Profile

  • 150-provider behavioural health clinic
  • 20,000 patients/month
  • Fragmented RCM execution
  • Errors in manual work

A 150-provider behavioural health clinic moved from fragmented RCM execution to a prevention-first model, root-cause analysis, VanaaEV (VANAA’s in-house AI eligibility and claim-readiness tool), and a 25-member expert team. Clean claims improved from 75% to 91%, reimbursement moved above 90%, eligibility accuracy reached 99%, and revenue increased by approximately 15%.

The Problem

  • Reimbursement rate stuck around 75%, driven by eligibility gaps and credentialing issues
  • Unresolved aged claims with no structured follow-up workflow
  • Poor communication from the previous RCM provider, no transparent reporting or ownership

The Solution

AI-augmented tooling, human-led execution, in the order the work happened.

01

Root-cause analysis
  • Rapid analysis identified the primary leakage points: eligibility and credentialing failures, missing payer authorizations, and no systematic follow-up on aged claims

02

VanaaEV, AI-powered, in-house
  • Deployed the proprietary AI eligibility and claim-readiness engine, integrated with clearinghouses for bulk uploads
  • Single/multi-check workflows, automated payer-rule and credential verification, real-time eligibility, and payer-response learning
  • Reduced manual intervention by ~90% and raised pre-submission accuracy to 95%

03

Human execution
  • 25 dedicated RCM specialists managing exceptions, appeals, credentialing, and client communication
  • Continuous feedback loop: denials and payer patterns feed VanaaEV, improving future prevention

Measurable Impact

Metric
Before VANAA
After VANAA
Clean claim rate
75%
91%
Eligibility accuracy
Low, manual errors
99% with VanaaEV
Reimbursement rate
~75%
90%+
Manual intervention
High
90% reduction
Revenue impact
Baseline
~15% increase

Business Impact

Prevention-first RCM turned leakage into growth: meaningful additional annual collections from improved reimbursement, materially lower rework and manual follow-up costs, and recovery of long-aged claims.