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Industries / Construction and specialty contractors

AI adoption for construction and specialty contractors. Bid on more work with the same estimators.

Tender estimating is slow and depends on one or two senior estimators. We build AI that drafts the takeoff, pricing, code requirements and proposal in your own spreadsheet layout, and your estimator signs off on every tender.

Estimators reviewing drawings and a drafted tender estimate
WHERE MOST TEAMS START

Tender estimates from drawings and specs

Takeoff and pricing in your own spreadsheet

The short answer

How can contractors use AI for tender estimating?

Contractors use AI for tender estimating by having agents read the drawings and specs, produce the takeoff, apply pricing, check code requirements and draft the proposal in the contractor's own spreadsheet layout. The estimator reviews and signs off. A mid-size tender that took one to two days typically takes about two to three hours in total.

  • Tender estimates from drawings and specs
  • Takeoff and pricing in your own spreadsheet
  • Proposals drafted from past bids
AI adoption workflow

Plan, build and run for construction and specialty contractors, one workflow at a time.

  1. 01PLAN

    Assess

    Measure how long each tender takes and where the senior estimator is the bottleneck.

    Service: AI Assessment and Roadmap
  2. 02PLAN

    Set the rules

    Keep drawings, specs and pricing in your own account, with estimator sign-off on every tender.

    Service: AI Policy and Governance
  3. 03PLAN

    Get the data ready

    Structure past tenders, pricing and job costs so estimates draw on real history.

    Service: Data Readiness for AI
  4. 04BUILD

    Build the estimating agent

    Takeoff, pricing, code requirements and a draft proposal in your own spreadsheet layout.

    Service: Custom AI Agents and Workflows
  5. 05BUILD

    Draft the proposal

    Proposals generated in your template from the estimate, ready for review.

    Service: Document and Reporting Automation
  6. 06RUN

    Train and support

    Hand over with a test workbook and install guide, then tune from estimator feedback.

    Service: AI Training and Adoption
Use cases

Three AI use cases for construction and specialty contractors.

Each example shows the pain point, how AI was put to work and the outcome, with a person signing off.

Use case 1 of 3

Tender estimate

Team: Mechanical contractor

The pain pointThe estimator read drawings and specs, did the takeoff in a spreadsheet, priced it, checked code requirements and wrote the proposal. One to two days per mid-size tender.

The implementationAgents produce the takeoff, pricing, code requirements and a draft proposal in the contractor's own spreadsheet layout in under 30 minutes. The estimator reviews and signs off.

The outcomeAbout two to three hours in total per tender. Typically 75 to 85% less time, so the same estimators can bid on more work.

Use case 2 of 3

Code and spec questions

Team: Estimating and project teams

The pain pointPeople asked the same senior estimator about specs, code requirements and how past tenders were priced.

The implementationA knowledge assistant answers from the specs, codes and past tenders, with the page cited, and says so when they do not cover it.

The outcomeFaster answers and fewer interruptions for the senior estimator.

Use case 3 of 3

Proposal from the estimate

Team: Specialty contractors

The pain pointProposals were retyped from the estimate into a document, with errors creeping in between the two.

The implementationThe proposal is generated from the approved estimate in the contractor's own template and saved for review.

The outcomeConsistent proposals that match the numbers, reviewed before they go out.

Success story

What AI adoption looks like for construction and specialty contractors.

CLIENT STORY

A mechanical contractor

The challengeTender estimates took one to two days each and depended on one or two senior estimators, which capped how much work the company could bid on.

What we didThey sent us their real estimating challenge: drawings, specs, their estimating spreadsheet and a past proposal. Two days later they had a working tool that drafts a full tender estimate in their own spreadsheet layout, on their own AI account, with their estimator reviewing everything before it goes out.

Results
30 min

or less for a draft tender estimate, reviewed by the estimator

2 days

from real files to a working estimating tool

Handed over with a test workbook and install guide. Time figures are our estimates and will be replaced with measured numbers.

Start safely

Where to start, and what we protect.

Where most teams start

First workflows worth changing

  • Tender estimates from drawings and specs
  • Takeoff and pricing in your own spreadsheet
  • Proposals drafted from past bids
What we protect

Rules agreed before anything goes live

  • Drawings, specs and pricing stay in your own account
  • The estimator signs off on every tender
  • Nothing is sent to a client without review
FAQ

AI for construction and specialty contractors, answered.

Can't find your question? Ask it on your strategy call.

Can AI really produce a tender estimate?

It produces a draft: takeoff, pricing, code requirements and proposal, in your own spreadsheet layout. Your estimator reviews and signs off before anything goes out.

Does it work with our own estimating spreadsheet?

Yes. We build around the spreadsheet, templates and past proposals you already use.

Where does our data go?

The tool runs on your own AI account, so your drawings, specs and pricing stay yours.

How long does it take to build?

For one contractor it took two days from receiving real files to a working tool.

Ready when you are

See what AI estimating looks like on your own tenders. Start with a strategy call.

A free 30-minute AI Strategy Call with an AI adoption specialist. No sales pitch, just a clear look at the one workflow worth starting with.

Free, no commitment. We reply within one business day.