ServiceTitan, Jobber, Housecall Pro
Compare the shared integration strategy across common field-service systems.
View stack pageCape Fear Agent Co. designs AI intake that collects the job facts your office needs before a request becomes a schedule decision: source, customer, address, urgency, photos, access, missing facts, and the promises the assistant must not make.
The demo should show the workflow doing the sorting: customer request, missing facts, photo prompt, safe boundary, and one clean handoff for the office.
$ capture --job-detailsOK request safe photosOK stage office reviewBLOCK arrival promiseCaller Garage door is stuck halfway and my car is inside.
Agent I can collect details for the callback. Can you safely send a photo?
Caller Yes. I need a call this morning.
Ready: issue, urgency, access, photo status, and callback priority.
The first integration should make each request more actionable, not just create another place to check.
| Request type | AI collects | First destination | Human keeps control of |
|---|---|---|---|
| New service request | Customer, address, issue, safe photos, urgency, access, and source. | Office review packet or job draft. | Schedule, technician fit, price, and final job acceptance. |
| After-hours lead | Callback need, emergency trigger, service area, photo status, and missing facts. | Owner memo or morning review queue. | Escalation, dispatch promise, and arrival expectation. |
| Follow-up request | Prior job or estimate context, question, timing, and preferred contact path. | Callback task or office note. | Quote, warranty decision, schedule change, and scope language. |
The audit identifies the missing facts, safe photo prompts, first destination, and approval gates that keep customer-facing automation useful.
Compare the shared integration strategy across common field-service systems.
View stack pageDefine transcript, photo, data, and promise boundaries before customer-facing launch.
Review trust rulesSend one messy call, request, or follow-up and get the first safe handoff mapped.
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