Company Profile & Partnership Overview
AI-Powered Healthcare Revenue Cycle Automation
The Problem
Doctors spend nearly half their day on documentation and billing instead of patient care.
Average small practice spends on billing personnel. Outsourced billing takes 5-8% of collections.
Change Healthcare breach (2024) shut down billing for 30% of US practices for weeks.
Practices write off billions in recoverable revenue due to billing complexity and staff limitations.
Our Solution
LexanAI deploys specialized AI models that run inside your practice — not in the cloud. Your patient data never leaves your building.
Reads clinical notes, assigns CPT + ICD-10 codes, validates against NCCI edits and payer rules. Routes low-confidence cases for review.
Generates and submits X12 837P EDI files. Scrubs for errors pre-submission. Tracks full lifecycle from submission to resolution.
Parses ERA 835 remittance files. Matches and posts payments automatically. Detects underpayments and handles secondary billing.
Self-hosted conversational AI for clinical documentation and patient interaction. No cloud dependencies for voice processing.
Works with existing EMRs via FHIR R4 and proprietary APIs. No rip-and-replace. Plugs into your current workflow.
All AI processing happens on local hardware. Zero PHI sent to external servers. HIPAA compliant by architecture, not just policy.
How It Works
Provider documents the encounter in their existing EMR — no change to current workflow.
LexanAI reads the note, assigns codes, validates the claim, scrubs for errors — all on-premise.
Clean claim submitted to payer. Payment posted automatically when ERA arrives. Exceptions flagged for review.
Provider treats patients. AI handles everything else.
Integration Capabilities
| EMR Platform | Integration Method | Coverage | Status |
|---|---|---|---|
| Any FHIR-enabled EMR | FHIR R4 API (industry standard) | Patient, Condition, Allergy, Medication, Observation | ✅ Built |
| Veradigm (Allscripts) | Proprietary API + FHIR | Full clinical + billing data | ✅ Built |
| athenahealth | Proprietary API + FHIR | Full clinical + billing data | ✅ Built |
| eClinicalWorks | Proprietary API + FHIR | Full clinical + billing data | ✅ Built |
New EMR integrations can be built in weeks, not months. Our architecture separates the integration layer from the AI engine.
C-CDA 2.1 document export/import. FHIR R4 resources. X12 837P/835 EDI for claims and remittance. HL7v2 messaging support.
Product Status
20+ ONC Health IT certification criteria met for meaningful use and interoperability.
Full administrative, physical, and technical safeguards. Audit trail, MFA, session timeout, break-the-glass access.
Standards-based interoperability API for Patient, Condition, Allergy, Medication, and Observation resources.
Medical coding, claim submission (837P), payment posting (835 ERA), and denial detection — all built.
Self-hosted conversational AI for clinical documentation. Runs on local hardware — no cloud voice processing.
Technology is built. Looking for the right partner to deploy with 1-2 practices and validate in production.
The Team
Healthcare × AI × Enterprise Engineering × US Market Presence
Partnership Opportunity
Standard E/M coding, clean claims, routine payment posting
LexanAI Automates
Appeals, complex coding, payer follow-up, patient billing
Prochant Experts Handle
Higher throughput · Lower cost per claim · Better accuracy · Data stays on-premise
Partnership Value
AI handles routine volume. Staff focus on high-value work — complex cases, appeals, client relationships.
Lower cost per claim processed. Higher first-pass acceptance rates reduce rework.
"AI-powered RCM" positions Prochant ahead of traditional outsourcing competitors.
On-premise AI addresses growing client concerns about PHI in cloud systems. Sell the security advantage.
Works with whatever EMR the practice uses — athena, eCW, Veradigm, or any FHIR-enabled system.
"AI-Powered Revenue Cycle Management by Prochant, powered by LexanAI"
Pilot Proposal
| Week | Phase | Activity |
|---|---|---|
| 1-2 | Setup | EMR integration, historical data analysis, establish baseline metrics |
| 3-4 | Shadow Mode | AI processes claims in parallel — Prochant team reviews AI output |
| 5-6 | Assisted Mode | AI handles routine claims autonomously, Prochant spot-checks |
| 7-8 | Assessment | Full results review, accuracy analysis, scale decision |
Commercial Models
Prochant charges practices their standard fee. LexanAI receives a percentage of collections on AI-processed claims.
Best for: Long-term partnership with shared upside
Flat fee per claim processed by AI. Prochant captures the margin difference vs. manual processing cost.
Best for: Predictable costs, clear ROI
Prochant licenses LexanAI technology under their own brand. Monthly platform fee + per-claim usage.
Best for: Prochant owns the AI narrative
Recommendation: Start with Option A or B during pilot. Evolve based on what we learn together.
Roadmap
Financial Position
| Item | Details |
|---|---|
| Entity | LexanAI Inc. (currently incorporating in the US) |
| Funding | Self-funded (bootstrapped). No external investors. |
| Team | 4 co-founders — engineering, AI, product, US operations |
| US Presence | Co-founder based in Texas. US incorporation in progress. |
| Burn Rate | Low. No VC pressure, no artificial timelines. |
| Revenue Model | Per-provider SaaS + partnership rev-share |
| Looking For | Strategic technology partner with RCM domain expertise and practice relationships |
Our approach: We're not looking for a customer. We're looking for a partner who brings domain expertise and practice relationships while we bring the technology. Prove value first, scale together.
We've built the technology. You have the domain expertise and practice relationships. Together, we can bring AI-powered RCM to healthcare practices that need it most.
1. Introductory call — align on goals
2. Technical deep-dive with your team
3. Identify 1-2 pilot practices
Bhuvanesh Ram M
CEO & CTO, LexanAI Inc.
🌐 lexan.health