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AgentScore

AI in field services.

Evaluate scheduling and dispatch through completed jobs, repeat visits, and customer follow-up.

Example workflow
  1. 1

    Source

    Service request received

  2. 2

    Agent activity

    Dispatch & scheduling

  3. 3

    Review

    Completed job reviewed

Available source
CSV / API; Jobber sandbox
Measurement
Agent performance and implementation maturity

Where agents work.

Scheduling assistant
Books jobs, manages cancellations, and fills crew schedules within Jobber, ServiceTitan, or Housecall.
Dispatcher
Assigns the next job to the appropriate crew based on skill, location, and time on site.
Lead-gen + intake
Qualifies inbound leads, runs the first call, and sends estimates without CSR involvement.
Customer-service bot
Answers status questions, resolves callbacks, and escalates difficult cases to a human.
Quote follow-up
Follows up on unsigned estimates, books the install, and pauses when a CSR closes the deal.

What to measure.

Throughput vs. benchmark
Jobs completed per crew-day against the sector norm.
Callback rate
Jobs returning within 30 days for the same issue.
Customer satisfaction
CSAT on agent-touched jobs versus human-only baseline.
Response time
Time from inbound to first agent action.
Override rate
Frequency of CSR or dispatcher overrides of agent suggestions.

Measurement depends on your source records and mapping. These are signals to evaluate, not automatically collected metrics.

Source coverage and outcome attribution depend on the records you provide.

Review setup options

Evaluate your workflow.

We’ll review your source data and agree what to measure.

Discuss your workflow