AI systems for home and commercial services.
The workflow pattern we see in this industry, and what we would build for it.
01
Request arrives
Requests come in by phone and web form. Someone triages each one by hand.
02
Site visit scheduled
Scheduling happens across calendars and callbacks. Requests wait in the queue.
03
Quote assembled
Pricing is pulled from spreadsheets and old jobs. The draft waits for review.
04
Job booked
The booking is keyed into the field service system by hand. Details drop between systems.
An intake and quoting agent.
An agent that triages inbound requests, drafts the quote, and proposes crew slots. Dispatch keeps the final say on every booking. The agent removes the triage pile and the callback loop.
10 to 14 weeks from kickoff to a live production system. We stay through adoption.
Eval harness
Checks agent outputs against a test set before release.
Reliability gates
Hard checks the system must pass before it ships.
Live production system
The working system in your stack, not a report.
Adoption Mile
To the 70 percent weekly-active bar by day 90.
Time from inquiry to quote, manual
1 to 3 days
IllustrativeInquiries lost to slow response
10 to 30 percent
IllustrativeQuote win rate lift from faster response
Varies by segment
IllustrativeRanges are industry observations for orientation. They are not ClearForge results. Our results live on the proof page.
See the proofStart where every engagement starts. The fixed-fee Diagnostic maps this workflow in your dispatch office in 2 weeks.
Starting point · Forge Diagnostic