5–7 days → 15 minutes
Takeoff on a 47-page architectural set for a 37,000 sq ft luxury residence, after one FUSE engagement. Same estimator. Same approval workflow. Same numbers — within ~1% of the estimator’s own manual takeoff. Different turnaround.
BID REPRODUCED
Every bid waited on an outside takeoff service.
The firm had more opportunity than throughput — and it was stepping up from luxury residential into commercial work, where the drawing sets get bigger and the bid clocks get shorter. The shortage wasn’t crews, schedule, or materials. It was getting accurate, defensible bids out the door before the client lost patience.
Their senior estimator had decades of jobsite history encoded in his head — which substrates were worth flagging, which scopes hid risk, where the line was between a bid that won and a bid that ate margin. Junior staff could prep takeoffs and run line items, but the judgment calls lived with one person.
Which meant every bid queued behind the takeoff: five to seven days waiting on an outsourced measuring service, then hours of cleanup to make the numbers match how the firm actually prices work. Late bids meant lost leads. Rushed bids meant margin risk. And the firm had no control over the one step that set the pace for everything else.
The owner had looked at the standard alternative — click-to-measure takeoff software — but someone still has to click every wall, ceiling, and trim line, and the output still wouldn’t reflect how the estimator prices work. What the firm wanted was the takeoff in-house, at commercial speed, without giving up the estimator’s judgment.
We built the system around the senior’s judgment, not against it.
Find — map the actual workflow.
We started inside the firm’s own numbers: recent priced bid sheets, walked line by line with the estimator. Where the time was actually going. Which calls were templatable and which weren’t. Out of that came a written playbook capturing what had never been written down — the decision tree for inclusion vs. flagging, the risk patterns by substrate and finish, the pricing logic on unusual scopes.
Unite — align the team before the build.
Working sessions with the owner and the estimator together. The estimator left knowing he’d be the firm’s design authority and reviewer — not a step being automated away. The owner’s commitment went in writing before any code shipped: same headcount or more, with the team moving up the curve into higher-leverage work.
Systemize — build against the playbook, not the chaos.
An AI-augmented takeoff and pricing system that reads the full architectural drawing set — floor plans, finish schedules, fixture counts — runs the takeoff room by room, prices against the firm’s own rate library, and flags anything the playbook says a person should look at: unusual finishes, partial drawing sets, low-confidence reads. The estimator reviews and can edit every quantity before anything is priced or sent.
Evolve — feedback loop on every review.
Every estimator review feeds back in: each corrected quantity and each calibrated rate makes the next takeoff closer to how the firm actually prices work. And validation is a standing discipline, not a launch event — every change to the extraction model is re-tested against a known baseline before it ships, and at least one newer model has been rejected for under-counting.
Five to seven days → fifteen minutes, holding everything else constant.
On a 47-page architectural set for a 37,000 sq ft residence, the system returned per-room quantities in under 15 minutes — work that used to wait five to seven days on the outside service. The largest scope item landed within ~1% of the estimator’s own manual takeoff, and on a real priced project the system reproduced the estimator’s own interior bid to 97.5% — the Mirror Test, passed: before anyone trusted the system with new work, it had to hand back numbers the estimator already knew were true. It has since digested a 131,000 sq ft commercial specification set, surfacing more than two dozen specialty-scope flags for the estimator to review.
The bigger shift is control. The takeoff now happens inside the firm, on the estimator’s standards, instead of inside a vendor’s queue — and the estimator’s time goes to reviewing flagged risks and pricing judgment, the work that actually wins bids, instead of waiting on and cleaning up someone else’s measurements.
No staff displaced. The estimator reviews and approves every line.
The engine behind this study is the costing platform.
AI reads the drawing set, deterministic code does the measuring and the math, and your estimator reviews and approves every line before a number goes out the door. The same discipline prices residential takeoffs and commercial budgets alike. See the costing platform →
Your next bid doesn’t have to wait. Bring the drawings.
Bring a real drawing set — the last job you bid, or the one on your desk right now. We’ll run it through the platform and put the output next to your own numbers, line by line, so your estimator can judge it against the work.
Can AI estimate a large custom home?
On a 47-page architectural set for a ~37,000 sq ft residence, the system returned per-room takeoff quantities in under 15 minutes — work that used to wait five to seven days on an outside service. The largest scope item landed within about 1% of the estimator’s own manual takeoff. It has since digested a 131,000 sq ft commercial spec set, flagging more than two dozen specialty-scope items for review.
How do you know the numbers are right?
The Mirror Test: on a real priced project the system reproduced the estimator’s own interior bid to 97.5% before anyone trusted it with new work. The takeoff now happens inside the firm, on the estimator’s standards, instead of in a vendor’s queue — and the estimator reviews and approves every line. No staff displaced.
Practical AI for small and mid-sized business. Live products, verified numbers, and your experts in charge of every decision.