The right technician,
in the right place at the right time

AI planning is software that works out which technician goes to which job, and when. It weighs the skills the job needs, your technicians' working hours, what's already scheduled and the travel time between addresses, then comes back with a proposal. Work that takes a planner half a morning is calculated in seconds. You decide what actually gets scheduled.

No. AI planning makes a proposal, the planner reviews it and decides. You see which technician is proposed for each job and at what time. From there you schedule it definitively, park it as a temporary slot, or decline the proposals. The calculation moves to the software. The responsibility stays with the planner.

AI planning weighs more than distance: the skills the job requires, the technician's work schedule, the fixed start and end point of their day, what's already booked in, the travel time between addresses, the region, and the order's preferred execution date, with a margin of up to three months. On the same three jobs, our own example shows 24 kilometres less driving and 35 minutes saved per technician per day. If a job doesn't fit anywhere, you're shown the reason it dropped out.

You have FieldBuddy Go run the planning again for the technicians who are available and get fresh proposals back. For a gap later the same day, you ask for a plan suggestion on that open slot. What doesn't happen: today's schedule quietly rewriting itself. A technician already on the road won't get a different route halfway through the day.

FieldBuddy AI is the AI layer inside FieldBuddy Go, covering route optimisation and scheduling proposals. You select the orders, the period and the technicians, then start the calculation. It runs in the background, so you pick your next task back up while it works. Once the proposals are ready you get a notification, and you decide which ones to schedule.