
Brian Kassalen is a principal and the development trade chief with Baker Tilly, a Chicago-based advisory, tax and assurance agency. Opinions are the writer’s personal.
As inflation, labor and tariffs proceed to stress the development trade, contractors are in search of alternatives to guard revenue margins. Synthetic intelligence provides builders new methods to stay aggressive and worthwhile earlier than initiatives even begin.
Mission estimates and AI
Development is an trade the place many of the work is awarded to low-bid contracts, so any device that helps a contractor’s success on challenge estimation via challenge completion is extraordinarily helpful. That’s the place AI is available in.
AI can considerably enhance the accuracy of bid improvement by utilizing algorithms to estimate potential prices based mostly on information gathered from a variety of sources — previous bids, provide chain databases, market information and publicly obtainable contract data.

Brian Kassalen
Permission granted by Baker Tilly
When prompted appropriately, AI reduces the chance of human error and accelerates the estimation course of, and analyzes key pricing and challenge variables in seconds as a substitute of days.
The fitting information
Whereas AI’s position in development is comparatively new to development contract creation, a phrase relationship again to the early days of computing stays true: “rubbish in, rubbish out.”
It’s crucial for contractors to grasp that the standard of the information that AI makes use of determines the usefulness of its output. If the information is flawed, inaccurate or biased, AI’s output can even be flawed or incomplete.
For instance, if a contractor is creating a aggressive bid for a development challenge, they usually take into account the price of uncooked supplies, subcontractors, labor and tools and will spend days — even weeks — reviewing paperwork and manually compiling data. These sources of information might be from inside the firm itself or exterior.
AI also can use design information instantly from constructing data modeling platforms. As an alternative of counting on static spreadsheets or guide amount takeoffs, AI programs can learn BIM fashions to establish particular supplies, portions and development components, then apply clever cost-mapping to every unit. This integration lets estimators regulate pricing in actual time as design modifications happen, supporting extra versatile and responsive budgeting.
AI would not exchange BIM — it really works alongside it, turning uncooked mannequin information into actionable, cost-specific insights through the design and preconstruction phases.
That degree of precision turns into particularly essential as soon as a contractor’s bid is accepted and pricing is locked in, until change orders are accepted. If an estimate is off, it could possibly shrink revenue margins or flip the challenge right into a monetary loss.
By utilizing predictive analytics, AI can flag and quantify potential dangers early, together with market volatility, labor shortages or scope gaps. These insights will be constructed into unit value estimates to create extra resilient bids and assist keep away from expensive surprises down the road.
Negotiation
AI will also be utilized in negotiation, particularly for addressing potential points proactively, permitting justification for specific mark-ups in a contract. As well as, if unexpected modifications trigger delays or extra prices after the contract is signed, AI could also be useful find frequent floor between two negotiating events.
For instance, as a substitute of submitting incomplete or delayed change orders, contractors can use AI to supply quicker, data-driven justifications for each scope and value changes. This will result in extra well timed approvals from challenge homeowners and cut back disputes throughout ultimate value reconciliation.
With higher information upfront, contractors are much less more likely to face disagreements later over what the change was price.
Safety
Contractors additionally must be cognizant of privateness and safety when utilizing AI to develop bids. A closed, proprietary AI system will help forestall exterior disclosure of estimates, bids and delicate data.
Alternatively, if contractors use open-source AI to develop bids, they danger exposing this data to the competitors, shedding consumer belief and probably violating information safety laws.
At a minimal, contractors want to judge their {hardware}, software program, licenses and safety controls to make sure a protected setting for AI deployment and use.
The place to start
With the trade altering so shortly, many contractors are at a loss the place to begin their AI integration journey. Some firms are “all-in,” whereas others are in a “wait-and-see” strategy.
For these contractors on the fence, step one is to acknowledge the necessity for change and start to have exploratory conversations about how AI will be built-in into the bidding course of and different elements of development. A 3rd get together that’s skilled in AI integration will help a contractor develop an AI technique to assist with the bidding and negotiation course of.
As with all AI, human oversight will stay needed within the bidding and negotiation course of. The expertise could save hundreds of guide work hours and enhance accuracy, permitting the workforce to make use of their time on extra strategic duties.
Contractors additionally want to acknowledge that AI integration into development bidding is greater than a one-time occasion. By its very nature, using AI by contractors continues to be evolving.
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