Site engineer comparing the building model with the real site on a tablet
    AI for Construction

    Build it once. Stop tearing out finished work.

    SMERT AI Rework Prevention catches design clashes, outdated drawings and unapproved changes before they become demolition β€” for contractors, developers and fit-out firms.

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    Rework is a data problem

    A survey of 3,900+ industry leaders by FMI and Autodesk estimated US$88.7 billion of rework in 2020 linked to bad project data alone β€” about US$7.1 million for a contractor with US$1 billion in revenue.

    Source: FMI, Harnessing the Data Advantage (2021)

    Where rework usually starts

    • Design clashes found only on site
    • Late client or design changes
    • Work that doesn't match the latest drawings
    • Missed information between trades

    What we set up for you

    Four checks that fit around your existing drawings, models and site routines.

    Rework audit

    We analyse your past change orders, defect lists and snag reports to show where rework cost you money, and why.

    Design clash check

    AI review of drawings and BIM models flags conflicts between structure, MEP and finishes before anyone builds.

    Build-vs-plan photo check

    Site photos or 360Β° walks are compared with the plan, so a misplaced wall or pipe is caught while it is still cheap to fix.

    Change log assistant

    Every client or design change is recorded, priced and approved before work proceeds β€” no more building the old version.

    How a pilot works

    1

    Discovery call

    We learn your projects, tools and where rework hurts most.

    2

    Rework audit

    We review one past or live project and size the avoidable cost.

    3

    Pilot on one site

    We set up the checks that fit, with your team, and measure results.

    4

    Scale

    Roll out across projects with training and ongoing support.

    Phase 2: robotic site rounds

    On our roadmap: SMERT Cobot and camera rounds that capture the site on a schedule and feed the same checks. Offered as a development pilot once your consulting phase is running β€” not an off-the-shelf product today.

    Honest by design

    AI flags issues; your engineers decide. We don't guarantee savings β€” we measure them in your pilot. Our checks support, and never replace, certified engineering sign-off.

    More results from the field on our case studies page and in our guide How AI reduces rework on construction sites.

    Rework prevention in the field

    Published results from contractors who caught errors before they were built β€” the same kind of checks we set up for you.

    MBN
    Germany

    AI comparison of 360-degree site captures against the BIM model on a major residential project.

    • β†’38 relevant site errors identified during the project
    • β†’A misplaced drywall caught right after installation, avoiding about €7,000 of rework

    Buildots AI site analysis with koppla scheduling

    Source: CaseStudies.com
    A Hong Kong contractor (unnamed in source)
    Hong Kong

    Continuous LiDAR scanning to catch excavation deviations from BIM before follow-on trades start.

    • β†’60% reduction in rework reported
    • β†’3,200+ survey hours saved; as-built BIM record for DEVB compliance

    viLid 4D LiDAR reality capture (viAct)

    Source: viAct
    Timberline Construction
    United States

    Scan-to-BIM and multi-trade clash detection before mobilisation on a life-sciences lab renovation.

    • β†’350 clashes resolved before any trade reached the field
    • β†’About US$45,000 of rework and chargebacks avoided

    LiDAR scan + Revit coordination (OAR)

    Source: OAR
    See all industry case studies β†’

    These are published third-party deployments, not smert.ai projects. smert.ai is not affiliated with, endorsed by, or sponsored by the companies or robot manufacturers named. Brand names appear in plain text for factual reference only.

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