Use cases / Plumbing / Dispatch & scheduling

Inbound call triage into job cards

The office spends mornings calling people back to ask what's wrong and where they are.

The business case

This one is mainly a time-saved case, so we don't claim revenue. Assumptions (illustrative): 30 inbound service calls per week, about 4 min saved each, staff time valued at $30/h, running cost $100/mo, setup $2,000.

CaseHours saved / moValue of time − running cost
Conservative4.3 h$30
Expected8.7 h$160
Optimistic13.0 h$290

Time saved only matters if it gets used on billable work. Track the before and after.

Requirements & gating

Check what the app already does first:

Build steps

  1. Get transcripts from the voice-AI agent (or a call-recording tool with transcripts; CallRail features: not verified).
  2. The LLM extracts JSON: name, phone, address, problem, urgency, access notes. Missing fields return null.
  3. Write a draft request or lead (Jobber request, Housecall Pro POST /leads). ServiceTitan only after partner approval.
  4. A dispatcher confirms every card before it's scheduled. Don't auto-dispatch.

Test cases before go-live

Tool names are examples, not endorsements. Check current features, plan tiers, and pricing before quoting a client.

Sample prompt

From this call transcript, extract the customer name, address, callback number, problem summary, urgency (emergency/soon/routine), and access notes. Return JSON. If a field is missing, return null and do not guess.

Pitch it to the owner

"Calls arrive as pre-filled job cards for dispatch to check and assign."

Lead with the outcome, not with "AI," and show the business case using their own numbers.

What can go wrong

Not legal advice. Texting, calling, and recording rules vary by country and state and change over time. Have the client confirm compliance with qualified counsel before launch.

Suggested price

$1,500–$3,500 setup

Starting estimate only, not verified against market rates. Adjust for scope and support.

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