All agents

Repair jobs booked to the right bay and tech

Assigns booked jobs, walk-ins and PMs to bays and techs by skill and parts status, then reshuffles the board and texts customers when a job runs long.

How it works
The reality

The shop board is guesswork.

Advisors schedule by memory and a whiteboard. They do not always know which tech is certified, which parts are on the shelf or how long the last job will run, so bays sit empty while trucks wait.

A 6 am walk-in with an overheating issue gets put in the only bay with a lift, bumping a scheduled PM. Two techs stand around by noon waiting on parts.
A typical day for heavy-duty repair shops
How it works

Bay scheduling, step by step.

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

  1. 1

    Read the queue

    Pulls booked jobs, walk-ins, parts status and tech skills each morning.

  2. 2

    Build the board

    Assigns jobs to bays and techs so parts and skills line up.

  3. 3

    Adjust all day

    Reshuffles when a job runs long and tells the customer the new time.

What changes

Your team keeps the judgment calls.

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

  • Fewer idle bays and techs
  • Promised times customers can trust
  • Advisors stop rebuilding the board by hand

Works inside the systems you already run

Shop managementParts systemBay schedulingSMSCalendar
Questions we get

Before you ask.

Assigns booked jobs, walk-ins and PMs to bays and techs by skill and parts status, then reshuffles the board and texts customers when a job runs long. It works in three steps: read the queue, build the board and adjust all day.

It works inside the tools your team already uses, including shop management, parts system, SMS and calendar. 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.