01
Enquiries captured with vehicle and service details.
Early-access calling workflows for auto repair
Keep workshop enquiries organized while mechanics stay focused.
A candidate workflow for service enquiries, vehicle-detail capture, workshop booking requests, status callbacks, and feedback.
The challenge
Built to resolve friction in daily call workflows.
Garage teams receive calls about opening hours, standard services, available drop-off windows, and repair status while working on vehicles.
Munsshi can capture the approved fields and create a structured next task without diagnosing vehicle faults or promising repair times.
Common pain points
- Calls interrupt workshop work.
- Vehicle and issue details are incomplete.
- Status requests and feedback calls repeat.
30-day success measures
What we measure instead of promising results.
02
Status requests assigned for follow-up.
03
Approved information answered accurately.
Simulated call dialogue
An illustration, not a real customer call.
The owner configures the approved knowledge, rules, and handover conditions. Actual wording and results will vary.
Caller
Can I bring my car in for a brake inspection tomorrow?
Munsshi (AI)
I am Munsshi, an AI calling assistant for the workshop. I can capture the vehicle model, reported issue, and preferred drop-off time.
Caller
It is a 2020 hatchback, and morning is best.
Munsshi (AI)
I have recorded that request for the workshop to confirm.
Step-by-step workflow
How the call flow works end-to-end.
01
Capture vehicle details
Records vehicle, reported issue, and requested service.
02
Use workshop knowledge
Answers configured hours, location, and standard-service questions.
03
Create the next task
Logs a booking or status follow-up for workshop staff.
Human control & guardrails
Where the workflow continues and where a person takes over.
Standard service enquiry
- Configured handling
- Answer from approved workshop information
- Human handover
- Diagnosis or custom estimate
Booking request
- Configured handling
- Capture vehicle and preferred window
- Human handover
- Final bay availability
Repair status
- Configured handling
- Record a structured status request
- Human handover
- Provide the actual repair update
Honest data flow
Cloud speech processing. Local retained records.
Call audio is transmitted to a cloud service for processing. The reasoning context contains the query without personal data. Audio, transcripts, summaries, customer history, lead status, tasks, and booking details retained after the call are stored locally on the Android device until the business manually deletes them.
The owner can take over a live call. If cloud processing is unavailable, the phone rings so the owner can answer.
Frequently asked questions
Questions specific to Auto repair & mechanics.
Can Munsshi diagnose a vehicle fault?
No. It records the caller's description and hands diagnostic or safety questions to workshop staff.
Can it provide repair status automatically?
Only when an approved connected data source contains that status; otherwise it creates a follow-up task for staff.
Have a repetitive call workflow in your business?
Apply for limited early access and validate it with us over 30 days.
Apply for limited early access