Average hold time is 8+ minutes at independent practices. Every dropped call is a lost appointment.
Poor scheduling and follow-up systems cause 30% no-show rates across US practices.
Triple-weighted measures. Payers lose $12-18M/year in bonus payments per 100K members when adherence drops.
Nurses manually calling patients for care gap closure. Expensive, unscalable, and patients often misreport adherence.
Answers every call <2 sec, 24/7. Books, reschedules, cancels. Insurance verification & smart routing.
Target: Independent practices (1-10 docs)
Proactive outreach to non-adherent members. AI disposition — detects "lying patients". Pharmacy claims verification.
Target: IPAs, Medicare Advantage plans
AI-powered front desk for independent practices
Checks provider availability in real-time, handles new & returning patients, sends confirmation SMS.
Finds patient record, verifies identity, processes change, fills the freed slot automatically.
Verifies coverage, checks auth requirements, flags out-of-network before the visit.
Complex cases (clinical questions, emergencies) route to staff with full context summary.
Watch the AI agent handle a real appointment booking call
while the UI updates in real-time.
Caller → AI Agent → Appointment booked in EHR → Confirmation sent
| Metric | Human Staff | LexanAI |
|---|---|---|
| Cost per call | $8-12 | ~$2.50 (5 min avg) |
| Calls/hour | 8-10 | Unlimited |
| After hours | Voicemail | 24/7 Live |
| Hold time | 8+ minutes | <2 seconds |
| No-show reduction | — | 35-40% |
Pay per use. No upfront commitment. Replaces $8-12/call human cost. ROI from day 1.
Pricing is tentative and subject to change based on volume and integration requirements.
EHR integration, voice training, workflow setup. Live in 2 weeks.
What happens when a patient calls in for an appointment — and also has an open care gap?
Front desk books appointment. Separate team calls weeks later for med adherence. Patient ignores it. Gap stays open.
AI books the appointment, then: "I see your statin is due for a refill — want me to help?" Gap closed in 30 seconds.
Both engines share the same patient context. One platform, one AI brain — inbound and outbound in a single conversation.
Triple-weighted medication adherence at $4.50 per closed gap
3 adherence measures = 30% of Part D Star Rating (only triple-weighted measures).
Classifies every call outcome: refill confirmed, barrier identified, needs escalation, patient unreachable. Not just "completed/not completed".
Patient says they're taking meds? We verify against pharmacy claims data. Catches "lying patients" — the #1 challenge in adherence programs.
Proprietary guardrail system ensures the AI stays on-script, never fabricates medical information, and escalates when uncertain. Zero tolerance for AI errors in healthcare.
Each conversation trains the model. Per-practice fine-tuning via our SLM Pipeline. Gets smarter with every call.
AI contacts a non-adherent member, assesses barriers, and closes the gap.
| Metric | Human | LexanAI |
|---|---|---|
| Cost per gap closed | $62-85 | $4.50 |
| Annual outreach cost | $1.5-2.1M | $112K |
| Star Rating boost | +0.5★ | +0.5-1.0★ |
| Bonus revenue impact | $12-18M/year | |
End-to-end encryption, BAA-ready, SOC 2 compliant. Built for healthcare from day one.
Custom ASR → Fine-tuned SLM → Natural TTS. Clinical-grade accuracy on every call.
FHIR R4 / HL7v2 connectors. Read/write patient records, appointments, orders.
AI never fabricates info — escalates to humans when confidence is low.
Inbound scheduling + outbound care gap workflows complete.
Appointment booking, rescheduling, routing.
Outbound calls + pharmacy verification.
Clinical-grade guardrails.
FHIR R4 connector architecture.
Growing 23% CAGR. AI replacing legacy IVR and human operators.
Star Ratings drive $12-18M/year in bonus payments per 100K members.
CEO & Co-Founder
16+ years. CTO at VoxyAI/Klenty. Built SchedX (#3 Product Hunt). Go, system architecture, AI. Deep healthcare voice AI experience.
Co-Founder, Product
13 years. Ex-ThoughtWorks (7.8yr), Spendflo (founding PM). MBA, PSPO certified. Product strategy, GTM, healthcare product go-to-market experience.
Co-Founder, Engineering
15+ years. Ex-NortonLifeLock (8.5yr). Python, distributed systems, RAG. Built the custom voice AI stack — ASR, SLM fine-tuning, and TTS pipeline.
Co-Founder, Engineering (US-based)
16+ years. Ex-7-Eleven (Lead Engineer). Node.js, Python, GenAI. Full-stack. Based in Texas — US market presence and customer relationships.
Pay-per-use model. Average practice: 800-1,200 call minutes/month = $400-600/mo. Still 80%+ cheaper than a front desk FTE.
Pricing tentative — volume discounts available.
Performance-based pricing. Payers only pay for verified gap closures — backed by pharmacy claims data. No results, no charge.
Average IPA contract: $200K-500K/year
Core platform built. Voice AI engine complete. EHR integration framework ready. Anti-hallucination engine deployed.
First 3 practice pilots. First IPA care gap pilot. SLM Pipeline for per-practice fine-tuning. Iterate on product-market fit.
10 practices + 3 IPA contracts. Proven unit economics. Self-serve onboarding for small practices.
25 practices + 8 IPA contracts. Channel partnerships with EHR vendors. Series A readiness.
Bhuvanesh Ram M · bhuvanesh@lexan.health
lexan.health