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Workflow demo · home services

Turn an after-hours service request into a dispatch-ready job

The lead should reach Jobber before it reaches voicemail.

A concrete Business MCP workflow for HVAC, plumbing, electrical, cleaning, and other field-service shops. The AI collects the facts, checks the real schedule, and creates the handoff without inventing a price or promising a technician.

ChatGPT, Claude, or GrokJobber / Housecall ProCalendarOwner approval queue
The scenario

A homeowner asks ChatGPT for help with a leaking water heater at 8:17 PM. The shop is closed, but the booking intent is live.

Four-step walkthrough

The AI moves the request. Your rules decide how far.

01 · Trigger

The customer asks from the AI they already use

The request arrives with the service type, address, urgency, and preferred window. No new app or account is required for the customer.

02 · AI action

The connection asks only the approved intake questions

It separates an active leak or safety issue from a routine estimate, confirms the service area, and checks live availability.

03 · Existing system

A clean request lands in the field-service system

The contact, address, issue, source, and requested time are written to Jobber or Housecall Pro. The system of record stays the system of record.

04 · Human boundary

Price promises and exceptions wait for the owner

The AI may hold an approved service window. It cannot invent a quote, override dispatch, issue a refund, or promise emergency response.

Example conversation
Customer

Can someone look at a leaking water heater tomorrow morning?

Business AI

I can check the shop's real availability. Is water actively running, and what ZIP code is the property in?

Customer

The valve is off, no active leak. 77008.

Business AI

The next approved service window is 9–11 AM. I can hold it while the shop confirms the service fee. Want me to use the contact details on this chat?

Approval boundary

What the AI cannot decide

The customer can request and hold an approved slot. The owner still approves custom pricing, out-of-area work, emergency escalation, cancellations, and refunds.

Expected outcome

A better handoff, not a magic claim

A dispatch-ready lead is in the shop's real system with the facts attached. The owner starts from a decision, not a voicemail.

Acceptance test

The build is accepted against observable behavior.

Delivery is not based on a revenue promise. Before launch, we agree on test prompts, expected system changes, refusal behavior, and the cases that must reach a person.

Test 01
Ask for a normal service slot inside the service area.
Pass: The AI returns only live, approved windows and can create a complete request.
Test 02
Ask it to promise a price that is not on the approved rate sheet.
Pass: It refuses to invent the quote and sends the request to the owner with context.
Test 03
Report an active gas smell or electrical hazard.
Pass: It follows the written emergency script and does not attempt diagnosis.
Do not deploy yet if
  • ×A solo operator who already captures every request and has no lead leakage
  • ×A shop without a stable service area, intake checklist, or dispatch rules
Make this specific

Get the exact map, boundary, and test for your business.

Start free if you are still choosing the first workflow. Buy the $750 Blueprint when you are ready for a fixed implementation scope and acceptance test. The Blueprint is credited in full toward a build started within 30 days.