Solutions · Agent spotlight

The Work Order Reconciliation Agent

Every closed work order gets opened, read, compared to a contract, checked against a budget, and corrected — by a person, one at a time. It is the most repeated, lowest-judgment, highest-leakage hour in field service operations. This agent does it in nine seconds, on every job, and hands a human only the decisions that need one.

14 min → 9 sec
Per work order
100%
Work orders reviewed
8%
Escalated to a human
$1,024
Recovered on the demo job

The workflow

Six steps. Fourteen minutes. Eighteen hundred times a month.

Nothing here requires creativity. It requires attention — repeated identically, without fatigue, on every single job. That is exactly the shape of work an agent is built for.

Today: an hourly coordinator

  1. 1Open the closed work order in the field service system
  2. 2Read technician notes and reconcile logged time entries
  3. 3Look up the customer's service agreement and billable rates
  4. 4Compare actual hours and parts against the job estimate
  5. 5Spot anything unbilled, miscoded, or outside the contract
  6. 6Correct the invoice, then chase an approval by email

Backlog builds on Mondays. Older jobs get skimmed. Leakage is found in the quarterly close, if at all.

With the agent

  • Triggered the moment a work order is marked complete
  • Reads the same records through a read-only API
  • Applies the same contract rules, every time, in order
  • Writes a corrected draft — never a posted invoice
  • Escalates only genuine judgment calls to a manager
  • Logs every decision with the evidence behind it

The coordinator stops processing the queue and starts working the exceptions the agent surfaces.

Live simulation

Watch the agent work a real work order.

This is the same reconciliation an hourly coordinator does by hand — opening the work order, checking the contract, comparing hours to budget, and catching what was missed. Press run and follow it end to end.

Work Order Reconciliation Agent

Processing WO-48213 · Northeast Region · Fire & Life Safety

  1. 1

    Read the closed work order

    human: 2 min · agent: 0.9s

    Pulls WO-48213 from FieldHub via read-only API: technician notes, time entries, parts used, photos.

  2. 2

    Match labor and parts to the contract

    human: 4 min · agent: 1.1s

    Cross-references the customer's service agreement, billable rates, after-hours multipliers, and covered parts.

  3. 3

    Verify against the job budget

    human: 3 min · agent: 1.0s

    Compares actual hours (11.5) to estimated hours (8.0) and recalculates gross margin on the job.

  4. 4

    Detect the exception

    human: 3 min · agent: 1.2s

    Finds 3.5 unbilled overtime hours and one non-covered part ($412) that would have shipped as written off.

  5. 5

    Draft the corrected invoice + notify owner

    human: 2 min · agent: 1.0s

    Writes the corrected invoice draft back to FieldHub, tags the service manager, and logs the audit trail.

—

vs. 14 minutes manually

—

Recovered on WO-48213

—

Written back for human approval

Cost of the redundancy

The same workflow, priced two ways.

Move the sliders to match your own volume and labor cost. The savings come from removing repetition — not from removing judgment.

Your workflow

1,800
14 min
$41/hr

Model assumes the agent handles the full workflow and escalates 8% of work orders to a human for judgment. Illustrative — not customer results.

Hourly employee

$17,220

per month · 420 hours

  • Queue clears once per day, at best
  • Exceptions found only when someone looks
  • Quality varies by person and by week

With the agent

$1,378

per month · 34 review hours

  • Every work order checked, continuously
  • Exceptions surfaced within seconds of close
  • Identical logic applied every single time

$15,842

Monthly labor savings

$190,109

Annual labor savings

2.2 FTE

Capacity returned to the team

Anatomy of the agent

How it actually works.

An agent is not a chatbot bolted onto a dashboard. It is a persistent, event-driven worker with scoped access, explicit rules, an AI reasoning step, and a human approval boundary.

1 · Connect

Read-only API credentials to the systems you already run — field service platform, ERP, contracts, timekeeping. No migration, no schema changes, no writes to your source of truth.

2 · Trigger

The agent listens for a business event: a work order status flips to complete. Events, not schedules, mean the work is reconciled minutes after it happens instead of weeks later.

3 · Reason

The agent assembles the job's full context, then applies your rules — rate tables, overtime multipliers, covered parts, margin thresholds — and uses AI to interpret the unstructured parts: technician notes, photos, and free-text descriptions.

4 · Decide

Confident, in-policy corrections are drafted automatically. Anything ambiguous, high-dollar, or outside a confidence threshold is routed to a named human with the evidence attached.

5 · Act

The agent writes a draft invoice back through the platform's public API, tags the owner, and posts the summary to the channel your team already lives in.

6 · Learn

Every human override is captured. Recurring corrections become new rules, so escalation volume falls month over month instead of holding flat.

Trust

Autonomy with a hard boundary.

Agents earn scope. They start narrow, prove themselves against a human baseline, and expand only where the record shows they should.

Read-only by default

The agent reads through your platform's supported API and writes only drafts. It never posts, deletes, or alters a system of record.

Human in the loop

Approval thresholds are yours. Anything above a dollar amount, or below a confidence score, waits for a person.

Fully auditable

Every action stores its inputs, the rule applied, the reasoning, and the outcome — exportable for finance and compliance review.

The pattern repeats

One agent proves it. The pattern scales across the business.

Every operation has the same shape of work: high volume, low judgment, real money leaking through the gaps. Once the intelligence layer is connected, each new agent is a configuration — not a project.

Renewal Preparation Agent

Redundancy removed
Manually assembling contract history before every renewal
Outcome
Renewal packets drafted 60 days out, with pricing variance flagged

Inspection Deficiency Agent

Redundancy removed
Reading inspection reports to find open deficiencies
Outcome
Deficiencies extracted and quoted the same day, not next quarter

Purchase Reconciliation Agent

Redundancy removed
Three-way matching POs, receipts, and vendor invoices
Outcome
Only true mismatches reach AP, with the discrepancy pre-explained

Dispatch Exception Agent

Redundancy removed
Watching the board for jobs slipping past SLA
Outcome
At-risk jobs flagged before the customer notices, with a reassignment proposed

Pick your most repeated workflow. We'll agent it first.

In a 30-minute session we map one workflow, quantify what it costs you today, and scope the agent that removes it — measured against your own baseline.