Problem
Bookings are lost and service bays sit idle
Workshops lose load when repair requests are missed, booking intake is delayed, and available service capacity is left unused.
AI for auto service
AIVA helps auto service teams book diagnostics and repairs faster, answer status questions without queueing customers, and automate repetitive service reminders.
Auto services often lose calls during peak load, while advisors spend time on routine status requests that do not need a human every time.
Voice AI can capture vehicle details, collect the issue, confirm booking windows, notify customers about repair status, and launch reminder campaigns.
24/7
Inbound coverage for repair requests
< 1 min
Response time for routine status calls
VIN-ready
Vehicle and request data captured
-35%
Less manual load on front-desk teams
What problems it solves
Problem
Service advisors are overloaded with status calls
Teams spend too much time repeating updates about diagnostics, repair progress, and vehicle readiness instead of moving work through the shop.
Problem
Customers do not return on time for maintenance
Without systematic reminder campaigns, customers postpone seasonal service, inspections, and recurring maintenance visits that should come back automatically.
High-frequency service scenarios
Scenario
Booking diagnostics and repairs
Collect the issue, vehicle details, preferred time window, and route the request into the right service queue.
Scenario
Repair status updates
Answer routine questions about repair progress, readiness, and pickup without distracting service advisors.
Scenario
Maintenance reminders and repeat visits
Run seasonal tire-change, oil-service, inspection, and repeat-maintenance reminder campaigns automatically.
What the service team gets
What is included
Structured capture of vehicle and request data
The assistant records car model, service issue, preferred slot, and contact details before the human team steps in.
What is included
Escalation for non-standard situations
Urgent breakdowns, claims, or unclear technical cases can be transferred to a live specialist immediately.
What is included
Analytics for calls, bookings, and missed demand
The service center sees which requests come most often and where bookings or status communications break down.
From pilot to routine automation
01
Define the target flows
We choose which scenarios to automate first: booking, status calls, reminders, or all three in sequence.
02
Configure intake and routing
We set up the dialogue to capture vehicle data, service type, and the correct escalation path.
03
Pilot during live workload
We launch the AI on real customer traffic and adjust the script using call outcomes and edge cases.
04
Scale across routine communication
The team gets fewer repetitive calls while customers receive faster answers on bookings and service status.
Discuss AI for your auto service
We will review how AI can load service bays, automate status calls, and return customers to maintenance on time.