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AI and automation for engineering and construction

AI for engineering and construction, where the paperwork is the project

RFIs, drawings, variations, site records and handover documentation — the administration that surrounds building things, and where automation and AI can carry a real share of it.

The situation

The build is on site. The project runs on documents.

Delay and dispute in construction rarely come from the physical work. They come from information — the wrong revision, the RFI nobody answered, the variation nobody recorded.

  • Work done to a superseded drawing revision
  • RFIs tracked in a spreadsheet and chased by email
  • Site records captured on paper and typed up days later
  • Variations agreed verbally and argued about at final account
  • Handover documentation assembled in a panic at the end
  • Programme, cost and site reality kept in three separate places

What it covers

Where automation and AI fit

Document control and site capture first. Both are unglamorous and both are where the disputes originate.

  • Document and revision control

    One current revision, visible to everyone, with superseded versions retained but unmistakable.

  • RFI and submittal workflow

    Raised, routed, escalated on age and answered against a record, rather than chased through inboxes.

  • Site capture

    Progress, snags, photographs and sign-offs recorded where the work happens, working offline and syncing later.

  • Document interrogation

    Asking questions of specifications, contracts and drawings and getting an answer with the source cited. A genuine AI use, with the source always shown.

  • Variations and cost

    Change captured when it is agreed rather than reconstructed at final account.

  • Handover and O&M

    Assembled as the job proceeds instead of compiled at the end from whatever can be found.

How we work

How an engagement runs

Site-first. A system that is slower than the paper it replaces will be quietly abandoned, whatever the reporting benefits.

  1. Follow one package

    Trace a single work package from drawing to handover and find where information is lost or duplicated.

  2. Fix document control

    Revision discipline before anything clever. Most of the expensive problems trace back to it.

  3. Capture at the point of work

    Get site data recorded once, offline-capable, by the people doing the work.

  4. Add retrieval and drafting

    Once the documents are controlled and searchable, AI retrieval over them becomes genuinely useful.

Outcomes

What it can be worth

  • One current revision, so work to a superseded drawing stops happening
  • RFI ageing visible, so escalation happens before it becomes delay
  • Site records captured once, at the point of work
  • Variations evidenced when agreed rather than argued later
  • Answers found in the specification in minutes, with the clause cited
  • Handover documentation that assembles itself as the job runs

Platforms and tooling

What we work with

Common environments

  • Autodesk Construction Cloud
  • Procore
  • Viewpoint
  • SharePoint
  • Bespoke

Site and mobile

  • React Native
  • Offline-first sync
  • Photo and signature capture

Build

  • .NET
  • Node.js
  • Python
  • React
  • Azure
  • AWS
  • Document AI

Named as platforms we work with, not as formal partnerships.

Common questions

Questions we are usually asked

  • It can retrieve and summarise from them, and cite where an answer came from, which is genuinely useful on a large specification. We would not have it interpret a technical requirement unsupervised — the engineer decides, the tool finds the clause faster.

Talk to someone who has built this

Not a salesperson working from a form. Tell us what the problem looks like and someone who has delivered this kind of work will come back to you, usually within one working day.

Book a free consultation

Tell us what you need

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