A production-grade multi-agent scheduling and support system. Handles appointment booking via voice, WhatsApp, SMS, and Telegram. Includes a RAG-powered technical support agent, ElevenLabs voice synthesis, a sales intake agent, and a live monitoring dashboard with human takeover. Field service and satellite services businesses eliminate manual scheduling and support entirely.
Field service businesses lose thousands of dollars every month to manual scheduling overhead, missed after-hours calls, and no-shows.
Dispatchers spend 3 to 5 hours per day managing bookings by phone and email. After-hours calls go unanswered. No-show rates run 15 to 25% with no automated follow-up. Every missed call is lost revenue.
A multi-agent LangGraph pipeline handles voice and chat simultaneously. Intent parsing, availability checks, conflict resolution, and confirmation notifications all run without human involvement.
Each agent owns a single responsibility. LangGraph handles deterministic routing between agents so the LLM focuses only on language, not flow control.
First-turn classifier that dispatches every inbound message to the correct specialized agent: Sales, Tech Support, or the Booking flow.
Handles pricing inquiries, demo requests, and callback requests. Collects customer name, email, company, and inquiry details for the sales team.
Classifies technical issues and retrieves relevant past resolutions from a Chroma vector knowledge base. Escalates when confidence is below threshold.
Converts raw voice transcriptions, chat messages, and Telegram updates into a unified message object. All downstream agents are fully channel-agnostic.
Gemini 2.5 Flash classifies booking intent (book, reschedule, cancel) and extracts entities: service type, date, time, and location from natural language.
Makes structured CRM API calls with exponential backoff retry logic. Returns available slots ranked by proximity to request and team workload balance.
When no exact slots match, proposes three nearest alternatives and maintains full multi-turn conversation state across the resolution flow.
Writes confirmed appointments to Supabase and triggers email and SMS notifications to the customer and assigned field team simultaneously.
Looks up bookings by phone or email, handles cancellations within configurable policy windows, and re-enters the booking flow for reschedules.
Production-proven technologies selected for reliability, CRM-agnostic integration, and zero-downtime deployment.
Every metric is tied to measurable operational outcomes for field service businesses replacing manual scheduling workflows.
| Metric | Before | After | Gain |
|---|---|---|---|
| Avg Booking Time | 8 to 15 min | Under 2 min | 85% faster |
| After-Hours Coverage | 0% | 100% | Full 24/7 |
| Booking Completion Rate | 60 to 70% | 80%+ | +15 to 20pp |
| Staff Scheduling Hours | 3 to 5 hrs/day | Near zero | 90% reduction |
| No-Show Rate | 15 to 25% | Under 10% | 50% reduction |
All endpoints are live and documented at scheduling.datawebify.com/docs
CRM-agnostic by design. Plugs into any existing backend via REST API and deploys in days, not months. Typical engagement: $12K to $28K.