AI Dispatch Agent

AI dispatch agent: the right technician on every job, with your approval.

When a job comes in, the AI dispatch agent weighs SLA windows, contract priority, distance, skills, van stock, labor rates and overtime across every region, picks the technician who meets the contract first and protects margin second, and shows you why. You approve the assignment, and any change can be undone. It works on the same board as Fieldproxy's AI scheduling and dispatch software, so your dispatchers and the agent never work from two different plans.

Live demo

See It In Action

Watch AI analyze and select the optimal technician in real-time

Available Technicians

AI evaluating 3 candidates

SM

Steve M.

2 miles
No Part
$45/hr
MR

Mike R.

5 miles
Has Part
$150/hr(OT)
SK

Sarah K.

15 miles
Has Part
$45/hr

Decision Engine

Multi-variable optimization

Awaiting job assignment...

WHY THIS MATTERS

  • •Steve rejected: Would require second truck roll
  • •Mike rejected: Double-time would eat profit
  • •Sarah selected: First-time fix at lowest cost

Walkthrough

What Happens When a Field Tech Calls In Sick? 14 Jobs Reassigned in 1 Minute

The Problem With Manual Dispatching

  • Dispatchers send the closest tech, who lacks the required part
  • Overtime costs eat into profit when cheaper options exist
  • Return visits kill margins and SLA performance: wrong skill match, missing equipment
  • Too many factors to weigh by hand on a busy day

The Dispatch Agent Solution

  • AI checks inventory before assigning - ensures first-time fix
  • Calculates true cost including travel, labor, and overtime
  • Matches skills and certifications to job requirements
  • Optimizes across all variables simultaneously, instantly

See it built around how your team already works.

Get Demo

How it works

How the AI Dispatch Agent Works

Every factor weighed for each job, with the reason shown

  1. Scan All Technicians

    When a job comes in, AI instantly scans every available technician. Location, current workload, skills, certifications, and van inventory, all checked in parallel.
  2. Calculate True Costs

    For each candidate, AI calculates total job cost: travel time, mileage, labor rate, overtime premiums, and probability of first-time fix. Hidden costs become visible.
  3. Propose, Approve & Dispatch

    AI proposes the tech with its reasoning. Once you approve, the route goes to the mobile app, the site contact is told the ETA, and the decision is logged for the operations team. Any change can be undone.

The variables

What Dispatch Agent Optimizes

What it weighs for every assignment

Distance & Travel Time

Actual driving distance, not straight-line estimates, from the technician's current location rather than home base.

Van Inventory

Checks if tech has required parts in their van. No point sending someone who'll need a warehouse stop or second visit.

Labor Rates & Overtime

Factors in regular vs overtime rates. Sometimes driving farther saves hundreds by avoiding double-time premium.

Skills & Certifications

Matches job requirements to technician qualifications. EPA certifications, brand training, equipment specializations.

Current Workload

Considers existing schedule, job complexity, and estimated completion times. Prevents overbooking and burnout.

First-Time Fix Rate

Historical success rate for similar jobs. Some techs excel at certain equipment types; AI learns and applies this.

See it built around how your team already works.

Get Demo

Results

Dispatch Agent Results

Skills

Matched to the job

Location

Nearest qualified tech

Live

Reassigns when the day changes

Approve

Nothing moves without your OK

Scenarios

Real Dispatch Scenarios

See how AI makes smarter decisions than humans

Emergency After-Hours Call

A client site's cooling is down at 9pm. AI considers: on-call rates, current tech locations, the contract's SLA commitment, and next-day alternatives. Dispatches tech with shortest drive time who isn't already on overtime.

Cost OptimizedSLA Met

Commercial Equipment Failure

Restaurant walk-in cooler down. AI identifies techs with refrigeration certs and the likely replacement part in van stock. Picks tech 20 miles away over closer tech without the part.

First-Time FixSkills Matched

Multi-Region Morning Surge

Forty jobs land across three regions before 8am, some on contracts with four-hour SLAs. AI fills in-house crews in each region first, routes overflow to approved subcontractors where coverage is thin, and sequences every route so each tech has parts for their assigned jobs.

Route OptimizedShorter Drives

Priority Customer Request

A key contract client logs a non-urgent issue. AI recognizes account status, checks SLA terms, and assigns their preferred technician while reshuffling other jobs to maintain everyone's schedule.

VIP HandledNo Delays

Also works from ChatGPT, Claude and Copilot in Teams

Fieldproxy's MCP server lets your team run the day and change the software itself from the AI assistant they already use, with a confirm step before anything changes.

Part of the Fieldproxy platform

Every agent runs on the same AI Agents stack

Voice, vision, dispatch, and knowledge agents all share one runtime, one schema, and one customization surface, describe what you want in plain English.

Ready to optimize every dispatch decision?

Get started and see how Dispatch Agent handles your real jobs, contracts and regions.

Try it yourself, free

Don't take our word for it. Run this AI on your own job, right now.

These free tools run the same AI capability on whatever you throw at them, no signup, no sales call.

Worked example

An emergency call dropped into a full day

Demo data. At 1:20 pm a commercial customer reports a walk-in freezer failing, with a 4-hour response SLA.

  1. Step 1

    The job arrives as an emergency

    It comes in by phone or email and is created with emergency priority and the SLA deadline.

  2. Step 2

    The best technician is suggested

    Only technicians with refrigeration skills are considered. The board ranks them on where they will be, free time and how moving their next job affects its own window.

    Schedule board with suggested technicians and scores for unassigned visits, each with an Assign button

    Suggested technicians with scores for unassigned visits.

  3. Step 3

    The knock-on change is shown

    Assigning the emergency to the nearest technician pushes their 3 pm job. The preview shows the new times and the job that could go to someone else, before anything is applied.

    Live map with technician positions, unassigned visits and a team panel with status and next stop

    Live map with technician positions, unassigned visits and the team panel.

Names, sites and amounts in this example are demo data. Screens are from the Fieldproxy demo account.

Control

What runs on its own, and what waits for you

TaskWho actsDetail
Ranking technicians for a jobRuns on its ownSkills, location, availability and SLA.
Assigning and moving jobsWaits for your OKPreview first; automatic only for job types you choose.
Customer notificationsYour rule decidesSent by the rules you switch on.

Getting started

Setup, connections and fit

How it is set up

  1. A 30-minute call to walk through how your office runs today: job types, who approves what, and where work comes in from.
  2. Load technicians' skills, certifications and working hours.
  3. We set it up on your own data and rules, and it is live within a day.

What it connects to

  • Technician mobile app: live location and status
  • Customer messages: new windows and tracking links

When it is not a fit

  • Every job can go to any technician and the day rarely changes.

Questions

Straight answers.

How does AI dispatch decide which technician to send?

It ranks technicians on the skills the job needs, where they will be, their free time and the SLA, and shows why. The dispatcher assigns.

Can AI dispatch handle emergencies in a full schedule?

Yes. It suggests who should go and previews the knock-on changes to the rest of the day before anything is applied.