An AI CRM for Contractors That Does Work, Not Dashboards
AI that drafts the proposal on site, keeps follow-up from lapsing on aging leads, and writes back to the project and the invoice — instead of scoring your pipeline and leaving the typing to you.
See It in Action
Where AI Earns Its Place in a Contractor CRM
Proposals from job details
AI builds the first full draft — scope, equipment, pricing and financing options — from what is already on the job, so the rep edits and sends instead of starting from a blank template.
Follow-up that does not lapse
Most lost deals are not lost on price, they go quiet. Automated sequences and a ranked callback list keep aging leads moving without a rep maintaining a spreadsheet of who to chase.
Financing presented on site
Monthly payment options generate with the proposal and submit for approval in the same visit, which is where high close rates on replacement and re-roof work actually come from.
One record, no re-entry
A closed deal becomes a project with its scope, documents and billing schedule intact — rather than a CSV export into a second system and a week of cleanup.
What AI Will Not Fix
Worth saying plainly, because most AI CRM marketing will not: if the constraint on your business is lead volume or crew capacity, an AI CRM does not move it. Proposal automation on an empty pipeline produces faster quotes for customers you do not have. A booked-out install calendar does not get shorter because follow-up improved.
Where it does pay is quoting volume. A shop writing fifteen proposals a week and losing an hour to each one is spending most of a working day on document assembly. Cutting that is a real, measurable gain — and it is bigger for a two-rep company than for a large one that quotes rarely.
The test to apply to any vendor is simple: does the AI produce something a rep can check and send, or does it produce a score? Scores get ignored. Drafts get used.
How to Evaluate an AI CRM Without Getting Sold
Time the demo to a sendable proposal
Bring a real job to the demo and time how long it takes to reach a document you would actually put in front of a homeowner — including the edits you would have to make. That single number tells you more than any feature list, and it exposes the gap between a demo-ready template and a proposal that survives contact with your pricing.
Ask what happens to your data
Customer names, addresses, pricing and financing details all flow through a contractor CRM. Get it in writing: is your data used to train shared models, where is it processed, how long is it retained, can you opt out. A vendor that answers this vaguely has told you what you need to know.
Check what the AI does when it is wrong
Generated pricing and scope will sometimes be wrong. What matters is whether the rep can see and correct it before it goes out, and whether the system learns your price book rather than guessing. An AI proposal a rep cannot audit line by line is a liability on a signed contract.
Make sure the pipeline is connected downstream
A CRM that ends at "closed won" hands you a second data-entry job. Confirm that a won deal becomes a project with scope, documents and a billing schedule intact. See contractor project management software for what that handoff should look like, and proposal and quoting tools for the document side of it.
Bring a Real Job to the Demo
We will build a proposal from it live and you can time how long it takes to reach something you would actually send.
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