A voice + chat assistant that collects symptoms, flags red-flags, recommends the next step (self-care, telehealth, clinic visit, or emergency), and books the patient — aligned to your clinical protocols, formularies, and jurisdiction
Faster time-to-advice (TTA)
Guided conversational triage + instant recommendation
Higher first-contact resolution
Self-service routing and instant booking
Lower front-desk workload
Deflection from calls to web / IVR + auto-booking
Bookings completed end-to-end
Calendar & EHR / EMR integration (FHIR / HL7)
Ready-made Solution
Launch in one click, 24/7. Patients describe symptoms by voice or text, get a personalized recommendation, and book instantly
Natural, back-and-forth conversation with clarifying questions
Three-level routing: self-care → PCP/specialist → emergency
Calendar + EHR / EMR integration (FHIR/HL7)
RAG-enriched responses grounded in your knowledge base (guidelines, local protocols, payer rules)
Patients bounce between websites, call centers, and rigid script bots. Results:
Overloaded front desk
Missed red-flags
Long TTA (time-to-advice)
Low satisfaction
Understand medical terminology, slang, and noisy speech
Extract clinically relevant signs and red-flags in real time
Comply with local rules (payer restrictions, age limits, availability)
Integrate seamlessly with EHR / EMR, scheduling, billing, and IVR / telephony
AI-driven development
Symptom Checker Agent guides a structured, adaptive triage: listens, asks the right follow-ups, forms differential hypotheses, checks red-flags, recommends next steps, and completes booking
Conversational triage with dynamic branching
Red-Flag engine for immediate risk escalation (e.g., chest pain, dyspnea, neuro deficit)
RAG adaptation: retrieves the most relevant protocol excerpts from your corpus and cites them in responses
EHR / EMR-ready: FHIR / HL7, SNOMED / ICD-10 coding, chart notes
Omnichannel: web widget, mobile app, phone (SIP / IVR), messengers
Multilingual & accessible: captions, configurable TTS / ASR for accessibility
Start Now: patient → symptom intake → clarifying Q&A → risk tier → recommendation → booking
Schedule: choose provider / slot → confirmation → reminders
Escalation: automatic handover on red-flags to a clinician / nurse line, emergency guidance, full context transfer
Sub-second conversational feel and resilience to poor networks
Robust to fast speech, accents, and code-switching
Lightweight SDK / widget for rapid rollout across sites and service lines
Architecture Overview
Clients: Web / mobile (React / React Native widget), telephony (SIP / IVR)
RTC / Media: WebRTC for low-latency voice; WebSocket fallback
ASR / STT: streaming recognition with partial / final hypotheses, punctuation, medical lexicons
NLU & Policy Engine: dialog graph (e.g., LangGraph), symptom slots, branching; rules for age, pregnancy, chronic conditions
RAG Pipeline: source ingestion; vector store (e.g., FAISS / Pinecone) + re-ranking for high-precision retrieval; guardrailed LLM answers only from retrieved fragments, with inline citations and jurisdictional disclaimers
Decisioning: differential shortlist, urgency scoring, red-flag triggers
Scheduling: slot booking, reminders (SMS / Push / Email)
Analytics: TTA, FCR (first-contact resolution), red-flag catch-rate, abandonment
Challenges
Clarifications, reformulations, and safe handling of unstructured narratives
Medical ontologies and dynamic hints for rare conditions
Policy-constrained responses, uncertainty handling, and safe escalation
Packet-loss tolerance and state re-sync for voice sessions
Data Protection
Robust security with role-based access control (RBAC) and JWT authentication
Secure communication with end-to-end TLS, Web Application Firewall (WAF), and rate limiting
RBAC / JWT with strict role definitions for users: patient, agent, clinician, and admin
Data encryption at rest, detailed audit logs, and short-lived access tokens
Benchmarks
Robust Infrastructure for Peak Performance and Low-Latency Consistency
of ASR/NLU/TTS/policy services
Quotas, and QoS
Health checks, circuit breakers, self-healing
Encrypted call recordings with retention controls
Innovative Experience
Instant serves diverse industries with specialized use cases, delivering measurable value across different adoption patterns
Primary care networks, telehealth providers, insurers, employer health programs
Pediatric, dermatology, ENT, women’s health, mental health service lines
In-app assistant, website triage widget, pre-visit screening, post-op follow-up
Delivery Crew
High-performing developers for growing companies
Renata Sarvary
Sales Manager
Guide every patient to the right care pathway — without bottlenecks or missed red-flags
Talk to an ExpertGain the Edge
Start & Share
Patient opens the web widget (or IVR) from your site, portal, or SMS link
Connect & Intake
Conversational symptom Q&A (voice / text) captures chief complaint and context
Clinical Reasoning
NLU + rules + RAG retrieve approved protocols; red-flag engine scores risk tier
Next Step
Book a visit, start telehealth, or escalate to nurse / ED with full context handoff
Streaming ASR (optional), medical NLU, slot-filling for symptoms/signs
RAG over your protocols / SOPs / payer rules with cited snippets
Guardrailed LLM responses (jurisdictional disclaimers, no unsupported claims)
Red-flag triggers and urgency scoring
Instant or scheduled appointments with reminders
Handover to nurse line or on-call clinician with audit trail
Optional storage of transcripts / notes with configurable retention
Admin console to manage dialogs, rules, and service lines
High-concurrency triage sessions across sites
Sub-second conversational feel for chat / voice paths
Horizontal scale of NLU / RAG / decisioning; per-tenant QoS and isolation
Fulfillment Process
Our strategic development phases from MVP to advanced real-time capabilities
Process discovery, RAG corpus assembly, dialog design
Scheduling + EHR integration, pilot web widget
Telephony / IVR, terminology tuning, A/B of red-flag thresholds
Scale-out, reporting, BAA paperwork & compliance hardening
Real outcomes from production — speed, accuracy, and scale
By 30 – 50% via guided conversational triage
For common complaints and navigation issues
Due to self-service and auto-booking
Thanks to RAG-grounded, cited responses
By anticipating needs through predictive analysis
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. The RAG chain returns cited passages, and the response policy blocks unsupported claims
Rule + ML triggers reshape the dialog in real time, escalate to a clinician / nurse line, and provide emergency guidance when appropriate
Yes. ASR / TTS and UI are fully localizable — critical for multilingual populations
Encryption, tenant isolation, and auditable access; HIPAA / GDPR alignment, BAA available
About Plavno
Proven by our
customers feedback
Senior engineers + proven AI components to accelerate time-to-value.
From MVPs to enterprise platforms at global scale.
From extension UX to GPU pipelines and global scale.
Testimonials
“They really understand what we need. They’re very professional.”
Sergio Artimenia
Commercial Director, RNDpoint
“We appreciated the impactful contributions of Plavno.”
Thien Duy Tran
Product Manager, T-Rize Group
“We are very satisfied with their excellent work”
Michael Bychenok
CEO, MediaCube
“They have a clear understanding of what the end user needs.”
Helen Lonskaya
Head of Growth, Codabrasoft LLC
“The app was delivered on time without any serious issues.”
Mitya Smusin
Founder, 24hour.dev
Contact Us
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Vitaly Kovalev
Sales Manager
