AI-assisted dispatch without the chaos

A field services operator used AI-assisted scheduling summaries and exception routing to speed dispatch decisions.

The business problem

Dispatch managers chased updates across a scheduling tool, text threads, and a mileage spreadsheet. Bottlenecks were obvious in hindsight but invisible in the moment.

The old workflow

Morning dispatch started with a CSV export, manual reshuffling for sick calls, and Slack threads for “who is closest?” Exceptions lived in a supervisor’s personal notes.

[CSV export] --> [Manual reshuffle for sick calls]
      |
      v
 [Slack threads: "who is closest?"]
      |
      v
 [Exceptions in supervisor's personal notes]

What we built

Dispatch console with live job state, AI-generated exception summaries, and suggested reroutes managers approve before send. Mobile-friendly views for field leads.

Measurable outcome

Day-to-day dispatch decisions improved 28%. Managers spent less time reading threads and more time approving clear recommendations with context attached.

Workflow triage

Diagnose one workflow. Get a bounded recommendation.

Answer a few targeted questions about one bottleneck and we’ll tell you whether a small first milestone is justified—usually around $2k–$20k depending on scope.

Scope-Lock Satisfaction Guarantee

Scope-Lock Satisfaction Guarantee: if the milestone does not match what we scoped, we keep working free until it does—or refund it if we miss after you hold up your end.