Use case · Plumbing & industrial services
Job map & route planning
See every job on a single map and plan your crews' routes in minutes. The AI proposes the optimal assignment; you adjust and approve.
In brief
Organizing the day's work — who goes where, with which equipment, in what order — on a spreadsheet or a shared calendar eats up time and rarely lands on the best plan. The AI pulls every request onto a map, proposes the most efficient routes based on location and skills, and you approve or reassign with a drag and drop.
In detail
Deciding every morning who goes where, with what equipment and in what order is a puzzle solved again by hand — and rarely optimally. Here is how AI turns that puzzle into a proposal on a map that you adjust in a few moves, and why it has nothing to do with surveillance of your crews.
Scheduling in a spreadsheet: an optimum you cannot find by hand
Assigning a day of jobs means reconciling constraints that contradict each other: site locations, required skills and certifications, available equipment, time slots promised to customers, emergencies that come in along the way. On a shared calendar or a spreadsheet, you find a solution that “holds” — not the best one.
The cost is diffuse but real: unnecessary driving, technicians crossing paths, emergencies that throw the whole day off for lack of slack, and a dispatcher who spends the early morning juggling on the phone. When that person is away, the company feels it immediately.
The map first, the proposal second
Everything starts from a map: job requests — scheduled, recurring, urgent — appear on it with their type, estimated duration and requirements (skill, certification, equipment). That alone is progress: seeing the whole day at a glance, instead of piecing it together from memory.
On that basis, the AI proposes an assignment: which jobs for which crew, in what order, taking into account distances, skills and promised time slots. The proposal is an optimized starting point, not a decision: you reassign with a drag and drop, and the rest of the schedule reorganizes itself. When an emergency comes in during the day, the AI proposes where to fit it in with the least disruption — you decide.
Organizing the work, not surveilling people
The principle is explicit at AIR.TEK and worth stating: this tool schedules jobs, it does not track individuals. No continuous geolocation of technicians, no individual pace metrics, no ranking of people. The map shows job sites and routes; the data is used to organize tomorrow better, not to rate anyone.
It is also what gets crews on board: a better-built schedule means more coherent days for them — fewer absurd trips, the right equipment in the right place, emergencies absorbed without upending the whole route.
Connected to the rest of the job file
Scheduling shows its full value when it is linked to the field: the assigned job arrives on the technician’s phone with the step-by-step guide (readings, photos, signatures), and the job is closed out on site. The report is then written automatically from the readings. Schedule, carry out, close out, invoice: the whole chain holds together, and that is what saves the hours — not route optimization alone.
It all runs on a private AI, hosted where you decide: customer addresses, plans and job history train only your model.
Comparison
Private AI vs shared calendar vs field service software
| Shared calendar / spreadsheet | Conventional field service software | AIR.TEK | |
|---|---|---|---|
| Crew assignment | Decided from memory every morning | Entered by hand in a calendar | Optimized proposal, adjustable by drag and drop |
| Visit order | Approximate | Rarely optimized | Calculated from distances and time slots |
| Same-day emergencies | Reshuffled over the phone | Manual rescheduling | Insertion proposed at the lowest cost |
| Follow-through (report, close-out) | Separate | Forms to fill in | Chained: field guide, report written |
| Individual surveillance | None | Frequent geolocation | None — an AIR.TEK principle |
How it works
The AI does the work. You approve.
- 1Connect to your tools
The AI plugs into your existing data and documents, without replacing your business software.
- 2The AI does the work
It reads, processes and proposes continuously — no re-keying, 24/7.
- 3Humans validate
Your teams only settle the uncertain cases; the result flows back into your workflow.
Questions
Your questions, answered.
Does the AI decide the schedule on its own?
No. It proposes an optimized assignment and visit order; the dispatcher or manager adjusts by drag and drop and approves. The proposal saves the time spent building the schedule; the decision stays human.
Are technicians geolocated?
No. Scheduling is based on the job addresses, not on tracking people. No individual surveillance metric is produced — it is an AIR.TEK principle, not an option.
How are emergencies handled?
An emergency entered during the day triggers an insertion proposal: which crew, at what time, with what impact on the rest of the route. You accept or choose another option.
How many crews does it work for?
It becomes worthwhile from two or three crews in the field — the puzzle already exists — and the benefit grows with the number. The free 30-minute diagnostic lets us assess the gain on your real volume.
Can we keep our current management software?
Yes. The AI connects to your tools — field service management, calendar, ERP — via exports or API, and writes the approved schedule where your crews already look it up.
Is there funding to help pay for the project?
Yes, in France. Our training courses can be funded by your OPCO (the French skills operator). AIR.TEK is also referenced by Bpifrance: if your AI project meets the eligibility criteria, it may qualify for a Bpifrance Diag Innov grant of up to €6,500 excl. VAT. We point you to the right scheme.
How much does AI automation with AIR.TEK cost?
No €12,000 development paid up front. You subscribe to your AI team: one all-inclusive monthly subscription, an operating expense (opex) rather than a heavy investment. The amount depends on your scope and is set after a first free discovery call (30 min, remote).