Plavno developed a secure AI Insurance Eligibility Verification Agent that automates patient coverage validation, reduces claim denials, and accelerates healthcare revenue cycle operations using enterprise-grade artificial intelligence solutions.
This HealthTech AI system combines advanced AI agents, predictive analytics, and real-time payer integrations to eliminate manual insurance checks and improve billing accuracy.
billing accuracy improvement
administrative cost reduction
decrease in claim rejections
reduction in eligibility verification time
Overview
The client, a digital healthcare platform serving clinics and diagnostic centers, required automation of insurance verification workflows to reduce operational bottlenecks and billing errors.
Plavno designed and implemented a custom insurance verification AI system as part of its full-cycle AI development services.
The solution functions as an intelligent AI assistant for administrative staff — validating patient coverage, interpreting policy rules, and flagging risks in real time.

Healthcare providers faced:
Manual insurance eligibility checks
Long patient onboarding cycles
High claim denial rates
Inconsistent policy interpretation
Rising operational costs
Limited scalability
Staff had to log into multiple insurer portals and interpret policy documents manually — increasing billing errors and slowing service delivery.

The client needed to build a scalable AI intelligent agent that could:
Integrate with multiple insurer APIs
Interpret complex insurance policies
Ensure HIPAA & GDPR compliance
Operate in real time
Reduce revenue leakage
The system required advanced NLP, machine learning classification models, and secure healthcare-grade infrastructure.

Solution
Plavno delivered a custom-built Insurance Eligibility Automation AI Agent using its enterprise artificial intelligence consulting and software engineering expertise.
NLP-based patient and insurance document extraction
Machine learning policy classification models
Real-time insurer API verification
Automated billing risk detection
Predictive claim rejection scoring
Cloud-native healthcare architecture
Extract patient data from EHR and intake forms
Apply policy logic and payer rules
Confirm coverage in real time
Update billing systems and alert staff
Sub-500ms eligibility validation
Multi-payer integration
10K+ concurrent verification checks
Secure cloud deployment
Enterprise compliance controls
Architecture Overview
Data Layer: Patient profiles, policy documents, historical claims.
Intelligence Layer: NLP extraction models, rule engines, ML classifiers.
Automation Layer: Workflow orchestration, billing triggers, escalation routing.
Analytics Layer: Denial rate monitoring, revenue risk dashboards.

Challenges
Unified fragmented insurance APIs into one automation layer.
Converted unstructured policy documents into AI-readable logic.
Implemented HIPAA-compliant and GDPR-compliant architecture.
Reduced denial rates with predictive analytics.
Value
75% faster eligibility verification.
Fewer denied claims and improved cash flow.
Scalable infrastructure for digital healthcare platforms.
Full encryption, access control, audit logging.
Benchmarks
99%+ structured data extraction accuracy.
≤ 500 ms average validation time.
99.95% availability.
3M+ eligibility checks monthly.
Innovative Experience
Tailored AI insurance verification solutions for every healthcare segment — from private practices to enterprise digital health platforms
Delivery Crew
High-performing developers for growing companies

Eugene Katovich
Sales Manager
Deploy intelligent AI eligibility agents with Plavno.
Talk to an ExpertMeasurable improvements in revenue cycle performance through enterprise-grade AI automation
Faster patient onboarding and reduced administrative wait times.
Fewer denied claims and improved first-pass acceptance rates.
Lower operational expenses through intelligent workflow automation.
More precise coverage validation and cleaner claim submissions.
Instant coverage answers instead of hours or days of waiting.
Tools We Used
Project Estimator
The estimated time to launch the product
Clear vision of functionality you need
15% discount on your first sprint

Frequently Asked Questions
Find answers to your common concerns
Yes — HIPAA and GDPR compliant architecture.
Typically under 500 milliseconds.
Yes — cloud-native multi-tenant architecture.
Yes — via secure API integration.
About Plavno

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Vitaly Kovalev
Sales Manager
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