Missed-opportunity audit
Send one messy call, quote, or follow-up path. The output is a leak map, intake questions, safe boundaries, and a handoff memo.
View audit pageCape Fear Agent Co. builds AI receptionist and intake workflows for Brunswick County contractors serving Leland, Southport, Oak Island, Shallotte, Bolivia, and nearby communities. The goal is simple: capture the facts, protect the promise, and send a clean handoff.
This is an illustrative workflow test, not a client result. It shows how a sample call can become a reviewable handoff; actual benefit requires before-and-after measurement of total handling time, including human review, errors, and corrections.
$ run lead-intake --source mapsOK classify urgencyOK request missing factsOK build owner memoCaller I need a callback. The issue is active.
Agent I can collect details for the owner. What town and service type?
Caller Leland, urgent, photo ready.
Captured: caller, town, issue, urgency, photo status, and safe next action.
Use this page when the buyer is comparing phone coverage, voice AI, and local workflow design. The practical question is what happens after the ring.
| Buyer question | Generic phone answering | Cape Fear Agent Co. |
|---|---|---|
| Primary job | Answer the phone and forward a message. | Route the lead by county, town, trade, urgency, missing details, and owner-approved next step. |
| Best buyer | Businesses that need broad call coverage. | Contractors with local service-area constraints, urgent calls, paid leads, after-hours leakage, or quote follow-up drag. |
| What gets captured | Caller name, message, and callback details depending on the script. | Town, issue, address or area, urgency, photos, access, source, missing facts, and callback ownership. |
| How to evaluate | Compare provider reports with actual call and handoff records. | Compare total handling time, errors, corrections, and handoff quality before and after. |
A service call from Leland, Southport, Oak Island, Shallotte, or Bolivia may require different routing, travel context, urgency, and follow-up rules. A useful AI receptionist workflow should capture those details without pretending to be the technician.
Cape Fear starts with a missed-opportunity audit, then shows the workflow in a buyer-friendly demo before expansion.
Send one messy call, quote, or follow-up path. The output is a leak map, intake questions, safe boundaries, and a handoff memo.
View audit pageThe visual demo stages a customer exchange, terminal activity, mock voice capture, and owner memo for review.
Watch demoThe first build should be narrow enough to test and visible enough for the owner to review.
High-intent local calls, Google Maps traffic, plumbing/HVAC intake, and owner callbacks.
Storm, roofing, restoration, access, photo, and travel-context handoffs.
Service-area fit, quote follow-up, missed-call recovery, and dispatcher-ready summaries.
The audit turns a vague AI conversation into a concrete buyer artifact: what the customer says, what the system captures, what it refuses to promise, and what the owner receives.
Keep the buying path connected to proof, local intent, and the first workflow worth fixing.
View pageCapture storm calls, roof leaks, rental access, photos, and coastal callback context.
View pageCapture active leaks, storm damage, rental access, photos, and restoration owner handoffs.
View pageKeep the buying path connected to proof, local intent, and the first workflow worth fixing.
View pageKeep the buying path connected to proof, local intent, and the first workflow worth fixing.
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