Sent a voice note, two photos, and the plate. Haltex turned it into a complete job before the call ended.
WhatsApp intake, AI diagnosis, mechanic assignment, and fleet analytics in one smart workshop system.

Sent a voice note, two photos, and the plate. Haltex turned it into a complete job before the call ended.
Likely cooling fault, high urgency, inspect hoses and radiator cap before releasing the vehicle.
Critical jobs rise first, mechanics get the full context, and every status update stays attached to the ticket.
Repeat visits, downtime, and parts delays show up clearly instead of hiding inside calls and spreadsheets.
fleet vehicles indexed
driver languages supported
WhatsApp intake window
typical AI review target
Workshop intake
Haltex follows the same practical path your team already uses, then removes the delays between driver, manager, mechanic, and management.
Photos, voice notes, text, language choice, and plate confirmation move into one ticket flow.
Driver notes, images, audio, location, and vehicle history become a practical senior-mechanic diagnosis.
Critical jobs rise first, mechanics see their queue, and every status update is logged.

The senior-mechanic layer
A driver sends what they can — in their own language. Haltex reads the audio, photos, plate, and vehicle history, then returns a clear diagnosis, severity, and next steps for the manager to action.
Coolant is boiling with a likely leak near the radiator. Most likely a failed radiator cap or split upper hose. Do not drive; recover the vehicle to the workshop.
Driver note, photos, plate, and vehicle history are grouped into one job card for manager review.
Recommended checks
Pressure-test the radiator cap before release
Inspect the upper hose and clamp for seepage
Top up coolant, then recheck temperature under load
AI drafts the diagnosis. Your workshop manager assigns and decides.

Human in the loop
Haltex structures the report, suggests the likely cause, and flags severity — but every assignment, parts call, and closeout stays in your team's hands. The judgement is theirs; the busywork is ours.
Management insights
Throughput, turnaround, severity mix, bottlenecks, and the vehicles that keep coming back — read-only and always current for the people who plan the fleet.


Each vehicle keeps service history, repeat visits, root causes, and downtime trends.
Assignments can account for current capacity and learned repair specialization.
Live workshop counts, turnaround time, aging buckets, and bottlenecks stay visible.
It is built around the workshop lifecycle: WhatsApp driver intake, AI diagnosis, assignment, service history, closure forms, and management analytics.
Yes. The driver flow supports English, Arabic, Urdu, Hindi, Bangla, and Pashto messaging patterns.
No. AI structures the report, suggests likely causes, and flags severity. The manager keeps final control over assignment and decisions.
Read-only operational analytics: vehicles in workshop, average repair time, downtime, recurring issues, and parts-delay signals.
Yes. The mechanic queue, notes, status changes, and closure form are designed for phone or laptop use.
No scattered calls, no lost photos, no mystery queue. Haltex gives each repair a clear path from intake to closeout.