All agents

Mobile tech routes planned and rebuilt as calls land

Plans each mobile tech's day from PM due lists, booked repairs and yard hours, and rebuilds the route when a roadside call or cancellation comes in.

How it works
The reality

Drive time eats the margin.

Mobile service lives on stops per day. Routes are built the night before from a list, without looking at drive time or which units at each yard are due, so techs drive more and fix less.

Three mobile techs crisscross the same metro, each driving past the others' customers. One spends 2.5 hours in traffic for a 40 minute PM.
A typical day for mobile fleet service
How it works

Mobile route planning, step by step.

The agent does the work inside your systems. Your team approves what matters.

  1. 1

    Gather the work

    Pulls PM due lists, booked repairs and yard hours for each customer.

  2. 2

    Build the routes

    Groups stops by area and sequences them to cut drive time.

  3. 3

    Rework the day

    Updates routes when roadside calls, delays or cancellations come in.

What changes

Your team keeps the judgment calls.

The agent takes the repetitive work. People approve, decide and talk to customers.

  • Less fuel and drive time
  • More PMs done at each yard visit
  • Customers get a real arrival window

Works inside the systems you already run

Shop managementGPS dispatchMobile route planningTelematicsSMS
Questions we get

Before you ask.

Plans each mobile tech's day from PM due lists, booked repairs and yard hours, and rebuilds the route when a roadside call or cancellation comes in. It works in three steps: gather the work, build the routes and rework the day.

It works inside the tools your team already uses, including shop management, GPS dispatch, telematics and SMS. Nothing to rip out and nothing new to learn.

It starts in shadow mode, drafting the work for your team to approve or correct. You decide what it handles on its own, and every action is logged.

Your data is used only to run the workflows you approve. We do not use your proprietary data to train public or unrelated AI models.

Get started

Start with one agent.

Pick the workflow that hurts most. We'll scope it on the first call.