97% accuracy on automated construction scope extraction
California GC ProWest Constructors reports a 50% cut in the time from award to subcontract execution. New benchmark report shows Scope Agent outperforms general-purpose AI on the preconstruction workflow that drives billions in annual rework losses.
TORONTO, ON, August 4, 2026. Provision, the AI construction technology company, today announced the general availability of Scope Agent, its AI system for automated scope-of-work generation from drawings and specifications. Alongside the launch, Provision released a benchmark report documenting Scope Agent's performance against Claude, the general-purpose AI model from Anthropic, on plumbing scope extraction from a live construction project.
Missing or ambiguous scope is one of the largest hidden costs in construction. The Construction Industry Institute (CII), based at the University of Texas at Austin, has found that rework costs run from 2% to 20% of a project's total contract amount, with direct costs averaging roughly 5% of total construction cost. CII estimates rework represents approximately $15 billion annually in direct costs for the U.S. construction industry alone. Design errors and omissions, the category scope gaps fall under, are consistently identified as a leading cause.
On a large commercial project, a single missed scope item can expose a general contractor to hundreds of thousands of dollars in unplanned cost. The problem compounds across a portfolio.
"This is one of the highest-risk activities if you're a bidding GC," said Michael DeMarie, President of ProWest Constructors, a California general contractor and Scope Agent customer. "If you don't get it right, it stays with you from the day you start the job to the day you finish. If you want arguments from the day you start beyond the day you finish, then don't scope very well."
On Provision's internal validation dataset, measured against human-prepared scope sheets on real projects from general contractors across North America, Scope Agent delivered:
For reference, Provision ran the same exercise with a professional estimator working to a fixed time budget. The human baseline came in at 91.3% accuracy. It also took roughly four days per project. Scope Agent returns a first pass in a fraction of that time.
Provision's new benchmark report, Plumbing Scope QA: AI Scope Agent vs. Claude, compares both systems on the same set of construction drawings from a live hospital project. Reviewers validated every extracted line item against the source drawings.
Provision attributes the gap to three design decisions:
"For the teams we work with, the question was never whether AI could read a drawing. It was whether the output could be trusted on a real bid," said Luigi La Corte, co-founder and CEO of Provision. "A 97% accurate scope sheet with full traceability is a document you can put in front of a subcontractor. A 73% accurate scope sheet with fabricated model numbers is a liability. That distinction is what Scope Agent was built to solve."
"Scoping has always had elements of both art and science, so every estimator ends up doing it their own way," said Michael DeMarie, President of ProWest Constructors, a California general contractor and Scope Agent customer. "A product like this gives us a protocol, and it gives us consistency. I've seen roughly a 50% savings in the time from award to all the subcontracts being written. On an average $25 million project, going from award to every subcontract issued in 60 days: that's a really good target for us."
The first project ProWest ran through Scope Agent was a county job in Santa Barbara that a senior estimator had already begun scoping by hand.
"It saved him three or four days on a project that size, and we noticed four or five items we had missed. We had misinterpreted some of the sheet metal requirements," said DeMarie. "It was impressive how quickly it did it and how much information was there. It was good enough for me to say, okay, we're going to incorporate this."
Scope Agent has been used on live tenders with several of the largest general contractors in Canada, including EllisDon, where the output was used to issue a formal addendum modifying subcontractor scopes of work. That is the first documented case of AI-generated scope output flowing directly into a bid package at a top-tier general contractor.
"The value of Scope Agent is that it catches what a tired estimator will miss at 11 p.m. the night before a bid closes," said La Corte. "Our customers are not looking to replace their senior estimators. They are looking to give them a tool that removes the fear of a missed scope item."
Scope Agent is available today for general contractors, construction managers, and trade contractors. Teams can book a demo.
See Scope Agent live on Wednesday, August 19.
Luigi La Corte runs a group demo on real project documents, 1:00 PM to 2:00 PM ET, and answers questions live.
Save your spotProvision builds AI systems for the construction industry. Its products, including Scope Agent and RFI Agent, help preconstruction teams at leading general contractors and construction managers produce accurate, auditable, and complete bid packages. Provision is based in Ontario, Canada, and works with customers across North America.
Craig Corbett
Chairman and Co-Founder, Publicize
craig@publicize.co
About the benchmark methodology
Accuracy figures for Scope Agent come from Provision's internal validation dataset, measured against human-prepared scope sheets on real projects from general contractors across North America. The head-to-head comparison in Plumbing Scope QA: AI Scope Agent vs. Claude was run by Provision on plumbing drawings from a single live hospital project, with every extracted line item validated against the source drawings by human reviewers. Results reflect the specific documents, model versions, and configurations tested at the time of the study and are not a guarantee of performance on other projects or document sets. Claude is a product of Anthropic PBC. Anthropic is not affiliated with Provision and has not reviewed, verified, or endorsed these results. All trademarks are the property of their respective owners.
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