AI that answers service calls, diagnoses issues, schedules technicians, and handles dispatch logistics. Built for HVAC, plumbing, electrical, and cleaning services.
Dispatchers juggle 50-100 calls per day scheduling emergency repairs and maintenance. Technician routing done manually with spreadsheets. Customers call back repeatedly asking 'when will you arrive?' Double-bookings and route inefficiencies waste 2-3 hours per technician daily. After-hours emergencies go to voicemail.
Technical architecture overview
AI answers inbound service calls 24/7. Collects customer information, diagnoses issue through guided questions, determines urgency. Checks technician availability, skills, location, and parts inventory. Optimizes routing for same-day service. Sends confirmation SMS with tech photo, ETA, and tracking link. Updates customer automatically if ETA changes.
Core components of the system
ElevenLabs + Custom Logic
Handle service calls, diagnose issues, triage urgency
ServiceTitan / Housecall Pro / Jobber API
Technician schedules, job tracking, invoicing
Google Maps API + Custom Algorithm
Minimize drive time, maximize jobs per day
Twilio Voice + SMS
Confirmations, ETA updates, tech tracking
Parts inventory system API
Check parts availability before scheduling
What makes this solution powerful
AI asks diagnostic questions based on service type. 'Is your AC blowing warm air or not turning on?' Routes emergency issues (no heat in winter, water leak) to same-day slots. Schedules routine maintenance for later.
Considers skills (HVAC certified, master electrician), location (nearest available tech), parts inventory (has replacement motor in stock), and customer history (preferred tech from last visit).
AI re-routes techs in real-time as jobs complete early/late or emergencies arise. 'Job #1 finished 30 min early, adding rush job nearby before Job #2.' Reduces drive time by 25-35%.
SMS with tech name, photo, and ETA. Real-time tracking link (like Uber for home services). Automatic alerts if tech is running late. Reduces 'where are you?' calls by 80%.
Step-by-step deployment process
Week 1-2: Integrate with field service management platform. Map service types, diagnostic questions, and urgency rules. Define technician skills and availability patterns.
Week 3: Build route optimization logic. Integrate GPS tracking for real-time tech locations. Set up customer communication workflows (SMS confirmations, ETA updates).
Week 4-5: Train AI on common service issues and diagnostic trees. Test scheduling logic with historical data. Staff training on AI-assisted dispatch. Beta launch with 30% of calls. Full rollout with monitoring.
Metrics from actual implementations
Time Saved
After-Hours Captured
Payback Period
Learn from our experience
Don't: Over-schedule technicians. AI needs buffer time for unexpected delays. 10-15 min buffer between jobs prevents cascading lateness.
Don't: Ignore parts availability. Scheduling a job when you don't have the part wastes everyone's time. Check inventory first.
Don't: Skip customer preference settings. Some customers only want specific techs. Flag these accounts and respect preferences.
Don't: Launch without emergency escalation path. True emergencies (gas leak, electrical fire) need immediate human dispatcher involvement and special protocols.
AI is trained to recognize true emergencies. Keywords like 'gas leak', 'sparks', 'fire', 'no heat with elderly/infant' trigger immediate escalation to human dispatcher + nearest available tech regardless of schedule. Safety protocols override optimization.
Both. Commercial requires different logic (maintenance contracts, after-hours surcharges, multiple locations). AI asks 'Is this for your home or business?' and routes accordingly. Commercial jobs can auto-create quotes for non-contracted work.
Integration with customer database flags warranty/recall jobs. AI checks eligibility, schedules appropriately, and tags job as 'warranty' so billing system doesn't charge customer. Can also proactively call customers for recall notifications.
AI offers next available slot or waitlist option. 'Our next opening is Thursday 2pm. I can put you on our waitlist in case of cancellations.' For emergencies, AI can offer after-hours service (if available) with surcharge disclosure.
Yes. Integrates with ServiceTitan, Housecall Pro, Jobber, FieldEdge mobile apps. Techs see AI-scheduled jobs in their app with customer info, issue diagnosis, and optimized route. Can mark jobs complete, request parts, or escalate issues from app.
Get custom implementation in 3-5 weeks. $25K-50K. Proven ROI.
Schedule Free ConsultationNo commitment required. 30-minute technical consultation.
Explore similar automation solutions
Automate booking, reminders, rescheduling with AI voice and chat. Technical breakdown from 20+ imple...
AI-powered support that handles 70% of tickets automatically. Voice and chat. Smart escalation to hu...
Real projects in home-services, hvac, plumbing
We've built solutions that deliver ROI. Let us build yours.
3-5 weeks implementation. $25K-50K. Proven ROI.
Real projects. Real results. See what we've built.
We've built for . Let us build yours.
From $5K. 6-day implementation. Proven ROI.
P0STMAN has hands-on experience building production AI voice agents with .
View our AI projects →