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Construction Lab

AI for construction cost, quality and schedule control

Your cost ledger, programme and site records already contain signals of where work is drifting. We help project and commercial teams test two or three uses on one live project, then integrate only what proves useful.

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The challenges we see

Four patterns come up in almost every one of the contractors and developers we work with. If one sounds familiar, that is usually where to start.

Cost exposure appears after commitment

Symptom

Actual cost reports can lag commitments, changes and progress, so a package can drift before the team has a clear action to take.

Defects found after work is covered

Symptom

Photos and inspection notes are captured, but recurring issues are hard to compare against drawings and specifications until rework or snagging.

Trade interfaces create schedule drift

Symptom

Progress updates show what moved, but not always which predecessor or handoff will push the next trade.

Current answers are hard to find

Symptom

The latest drawing, RFI response or approval may be in a different folder or thread from the question on site.

Practical AI uses

Four uses we would consider first. Each one runs on data most teams already have.

Use case 01

Package overrun early warning

What it does
Compares budget, commitments, approved and pending changes, progress and actuals to flag packages needing review before the next cost report.
Data it needs
Cost plan or budget, commitments, change orders, progress claims and actual cost exports.
Time to first value
8–12 weeks

Use case 02

Inspection photo triage

What it does
Groups site photos by location or trade and flags images that may show a defect or missing check for an inspector to confirm.
Data it needs
Site photos with location and date, inspection checklists, specifications and past snag records.
Time to first value
8–12 weeks

Use case 03

Schedule risk and resequencing support

What it does
Compares planned activities with progress updates and highlights likely handoff risks for a planner to review before resequencing.
Data it needs
Baseline programme, look-ahead plans, progress updates, constraints and approved changes.
Time to first value
10–14 weeks

Use case 04

Source-linked site document assistant

What it does
Answers questions about drawings, RFIs, approvals and meeting minutes with a link to the source and the document version.
Data it needs
Controlled drawings, RFIs, approvals, meeting minutes and revision metadata, as PDF, Word or export files.
Time to first value
4–6 weeks

How we implement

Four steps, with a decision point after each. You can stop after any of them and keep what was built.

  1. 01 · 2–3 weeks

    Diagnose

    Review one project's cost, programme, quality and document workflows with the people who use them.

    You get: a ranked list of use cases, expected value, data gaps and a pilot baseline

  2. 02 · 6–10 weeks

    Pilot

    Test one use case on one live project or trade package against a baseline agreed before work starts.

    You get: a working pilot, review log and go / no-go recommendation

  3. 03 · 4–8 weeks

    Integrate

    Connect the approved use case to the cost system, programme or document store, with permissions and an audit trail.

    You get: a production workflow your team can run and monitor

  4. 04 · Ongoing

    Scale

    Repeat the proven workflow on selected projects, with templates, ownership and support for the rollout.

    You get: a rollout playbook your team owns

Expected outcomes

These are estimates, not client results. We confirm or revise each one against your own baseline during the diagnosis.

Estimate 1–3 wks1 earlier review of cost exposure on selected packages
Estimate 10–20%2 fewer repeat defects in a pilot area
Estimate 2–4 h3 saved per manager each week on document search
Estimate 12–18 mo4 estimated payback on a first use case
  1. Estimate range for a first pilot. Depends on weekly cost and progress updates, usable commitment data and an agreed comparison baseline.
  2. Estimate range for inspected work. Depends on defects being visible in photos, a usable baseline and inspectors acting on confirmed flags.
  3. Estimate range for a first workflow. Depends on current search time, source quality, revision metadata and regular team use.
  4. Estimate range for a first project. Depends on pilot and integration cost, adoption and the validated monthly saving from the selected workflow.

Questions project and commercial managers ask

Something else on your mind? Ask us directly.

Do we need to change our project software?

Usually not. We can start with exports or read-only access to the cost system, programme and document store you already use, then integrate only a proven workflow.

Will site teams have to learn a new app?

Not necessarily. The first pilot can use existing document or chat workflows; if a new interface is useful, we introduce it after the use case is proven.

Who owns the models and the data?

You do. Models, code and data stay in your environment or your cloud account. We don't reuse your data to train anything for other clients.

How much of our team's time does a pilot take?

Plan on about four hours a week from a project or commercial manager, plus short review sessions with site staff.

What if the pilot misses its target?

We agree the target and baseline before we start. If the pilot falls short, you get a written explanation of why, and you are not committed to the next phase.

Reviewed by Faruk Karagöl, CTO ·

Find out which use case fits your project

18 questions, about 4 minutes. You see your score and top three gaps before we ask for anything.

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