AI systems for construction and engineering.
The workflow pattern we see in this industry, and what we would build for it.
01
Bid invite arrives
Plans land in the plan room. Estimators pick which jobs to bid based on the hours they have, not the fit.
02
Takeoff by hand
Quantities are counted off drawings manually. One bid consumes an estimator for days.
03
Price assembled
Costs are built from history and supplier calls. Risk is priced by feel.
04
Paper chases the job
RFIs, submittals, and dailies pile onto superintendents and PMs. Rework gets caught in the field, where it is expensive.
An estimating and RFI desk agent.
An agent that extracts quantities from drawings, drafts the bid from your cost history, and triages RFIs and submittals with cited drawing references. Estimators and PMs keep the final say on every number. The agent removes the counting and the paper chase.
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.
Rework share of project cost
5 to 15 percent
IllustrativeProject cost that is admin and rework
About 30 percent
IllustrativeBid volume lift at the same estimating headcount
Varies by trade
Illustrative
Ranges 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 estimating room in 2 weeks.
Starting point · Forge Diagnostic