Hubelia
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Home equipment repair / multi-branch field dispatch· 10-25 staff

A repair dispatcher taking a thousand calls a day, every routine one still answered by a person

Voice automationField dispatchOperations
At a glance

Built an instant-answer intake line that takes the routine job by voice, captures the address and the request, and pushes the job straight into the technician's mobile app over the existing API, with a human verification layer that confirms or rejects each dispatch before it goes out.

4 weeks
Time to delivery
~90% of routine calls handled without a person
Time saved
6-8x in year one
ROI
under 3 months
Payback time
Project complexity7/10
~90%
Routine calls handled hands-free
queue → instant
Answer time at peak
-100%
Calls dropped in a surge
< 3 months
Payback
The challenge

The phone never stopped. Close to a thousand calls a day, around the clock, feeding roughly four hundred jobs out to technicians in the field. A first layer recognized a returning caller's number and offered their usual address, but anything new, and most calls had something new, dropped to a person who listened, typed the address by hand, and sent the job to the right app. The intake itself was sound. It was simply that a human had to sit on every routine call for it to become a dispatched job.

The cost followed the volume, billed as a package by the outsourced desk rather than by the work that actually needed judgment. And on the nights everyone called at once, a holiday, a storm, a weekend rush, the queue outran the staff on shift. Those were the calls that slipped, not because the process was broken, but because there was no one free to pick up in the surge.

What we did

We put an instant-answer line in front of the desk. It picks up on the first ring, takes the request in plain speech, captures the address, and for the routine job it does the whole capture itself: it writes the customer into the system, pushes the job into the technician's mobile app through the API the field crews already use, and sends the caller a confirmation by text and email. The roughly nine in ten calls that are a clean address and a clear request never need a person.

Because an automated line can mishear, nothing dispatches blind. Every job lands in a verification view where a dispatcher confirms or rejects it before it reaches a technician, so a wrong address is caught on the screen, not in a truck. We tuned the line for local reality too: in territories where callers give a landmark instead of a street number, it re-prompts and confirms rather than guessing. The exceptions, the odd location, the caller who needs a real conversation, route to a person exactly as before.

The outcome

About ninety percent of routine calls now turn into a dispatched, confirmed job with no one on the line, and the surges that used to drop calls no longer do: the line answers every caller at once and queues the work, so the holiday and storm-night spikes stop costing missed jobs. The people on the desk moved off routine typing and onto the calls that actually need them, the unusual location and the verification check.

The cost moved with it. Instead of paying a flat package scaled to raw call volume, the firm pays for the calls that genuinely need a person plus the running cost of the line, and the routine majority is handled at a fraction of what a staffed seat cost. The build paid for itself in under three months on the labor freed and the surge jobs no longer lost.

The intake was never the hard part. It was that a person had to sit on every ordinary call for it to become a job, and on the busy nights there just weren't enough of them.
Operations director, multi-branch repair dispatch
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A repair dispatcher taking a thousand calls a day, every routine one still answered by a person · Hubelia