Fieldproxy guide

What is AI dispatch software for field service?

Updated September 27, 2026

Short answer

AI dispatch software for field service assigns jobs to technicians automatically, using skills and certifications, location and drive time, SLA windows and workload, and re-plans the day when something changes. Unlike trucking dispatch, it matches people to sites and customer promises, not loads to routes. Fieldproxy's dispatch tools do this inside the platform and from ChatGPT, Claude or Microsoft Teams through its MCP server, with a person confirming every change.

What good AI dispatch does

  • Spreads the day's jobs across technicians who are qualified and nearby.
  • Plans daily routes with drive times.
  • Re-plans around a sick technician, a job that runs long or an emergency call.
  • Tells you what it changed and why, and waits for your confirm.
  • Creates job sign-off links for the technicians once the plan is applied.

Running dispatch from chat

With Fieldproxy's MCP server, a dispatcher can type "move Mike's jobs to the nearest qualified tech" in ChatGPT, Claude or Teams and get the same proposal the built-in dispatch agent would make, applied on confirm.

Fieldproxy facts on this page come from the Fieldproxy MCP reference. Competitor details are from each vendor's own documentation as of September 27, 2026; see the comparison table and sources.

Illustration of Fieldproxy's MCP tools inside Claude, ChatGPT and Copilot. Names and data are examples.

FAQ

Questions

Is AI dispatch the same as route optimisation?
Route optimisation orders stops for one technician. AI dispatch also decides who goes where, across the whole team, with skills and SLAs in the picture.

See it on your operation

We connect Claude, ChatGPT or Copilot to a Fieldproxy workspace built on your data and run your real questions.