Dispatch Agent
Intelligent Job Assignment and Route Optimization
Stop assigning jobs based on gut feel at the dispatch desk. Our AI considers SLA windows, contract priority, distance, skills, inventory, labor rates, and overtime across every region, then picks the technician who meets the contract first and protects margin second.
Roof leak over the server room
Candidates
Marcus T.
North · 8 min
No roofing cert
Ana R.
North · 14 min
Roofing cert · van stock checked
Dev P.
Central · 26 min
Overtime after 2 PM
Kim L.
Central · 31 min
Board full
North region
Central region
South region
Approved subcontractor
Unassigned
Decision logged
Ana R. over Marcus T. (closer, no roofing cert). PM at Site 9 moves to 10:15, still inside its contract window. Gutter job to Apex Roofing, an approved sub.
P1 assigned in 4 seconds. SLA at risk: 0.
Ana on site by 8:00, two jobs re-sequenced, overflow with an approved sub, site contact sent the ETA.
Live demo
See It In Action
Watch AI analyze and select the optimal technician in real-time
Available Technicians
AI evaluating 3 candidates
Steve M.
Mike R.
Sarah K.
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
- Humans can't optimize across 10+ variables in real-time
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
How it works
How Dispatch Agent Works
Multi-variable optimization in milliseconds
- 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
Select & Dispatch
AI picks the optimal tech and dispatches instantly. Route sent to mobile app, site contact notified with ETA, and decision rationale logged for the operations team to review.
The variables
What Dispatch Agent Optimizes
10+ variables analyzed for every assignment decision
Distance & Travel Time
Van Inventory
Labor Rates & Overtime
Skills & Certifications
Current Workload
First-Time Fix Rate
Results
Dispatch Agent Results
23%
Lower Dispatch Costs
91%
First-Time Fix Rate
35%
Less Overtime
<5sec
Assignment Time
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.
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.
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.
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.
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.
Pair this agent with
Most teams adopt one agent first, then layer in two or three more in the same week.
Works in every trade
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