Buildots extends AI progress tracking into the superstructure phase

The construction industry has long struggled with a persistent blind spot between underground utilities and interior fit-out. Tracking superstructure progress has historically required physical site walks. This manual approach leaves significant portions of a project unmonitored due to safety restrictions, access constraints and the sheer scale of structural works. Critical structural decisions are frequently made without objective progress data, yet the superstructure phase represents one of the most complex and schedule-critical periods of any project.

Buildots has now addressed this challenge by extending its AI-driven construction monitoring platform into the structural phase. Following more than a year of beta testing with customers on live sites, the superstructure tracking capability is now generally available. We have observed that bridging this gap provides project managers with a continuous data record across the entire project lifecycle, fundamentally changing how teams manage risk during this critical phase.

Construction teams have traditionally relied on manual progress tracking during the structural phase. Site supervisors conduct physical walks to assess progress, measure quantities and identify deviations from the schedule. This approach has inherent limitations. Safety restrictions prevent access to certain areas. Weather conditions can delay inspections. The scale of structural work makes comprehensive visual assessment impractical.

The result is a significant information gap. Project teams often discover schedule deviations only after they have cascaded into subsequent trades. By the time fit-out trades are mobilised, structural delays have already compressed the schedule. Recovery options become limited and costly.

Buildots has addressed this challenge by automating progress tracking through computer vision and artificial intelligence. The new capability utilises imagery captured via drones and 360-degree cameras. The Buildots artificial intelligence processes this visual information into structured data. This data is then linked directly to superstructure elements and quantities within the project Building Information Model.

Construction teams can now access automated progress analysis across the structural phase using the same platform they already deploy for underground utilities and fit-out. By deploying such integration, you can eliminate the need to switch between different systems and prevent the loss of historical context between project phases.

The system supports flexible data collection methods, including drones and 360-degree cameras. Teams can select the most appropriate capture method for their specific site environment. The platform provides specialised structural reporting formats that are tailored to how structural teams actually work.

When the structure runs behind schedule, fit-out trades feel the impact immediately. The platform provides production rate and cycle time data tailored specifically for structural work reviews. This information is designed to flag slowdowns and deviations early enough for teams to take corrective action.

For project delivery professionals, this distinction matters enormously. The window for recovery during the structural phase is relatively narrow. Once fit-out trades are mobilised, the cost of schedule recovery increases exponentially. Early detection of cycle-time deviations allows project managers to implement corrective measures while options remain available.

Stakeholder updates during the structural phase can now be backed by real site data rather than estimates and opinions. Project managers can spot production slowdowns and cycle-time deviations early. They can use verified site evidence to hold trades accountable while recovery is still possible.

According to the company, projects using Buildots have been proven to reduce delays by up to 50 per cent. On an average project, that is equivalent to preventing two to three months of delays. For AEC professionals managing complex schedules and multiple subcontractors, this level of risk mitigation is highly relevant.

The shift from subjective assessment to objective measurement has profound implications for project governance. When stakeholders can review drone imagery and see the exact quantity of work completed against the schedule, the conversation changes. Disputes about progress become resolvable through data rather than opinion.

The launch signals a shift away from managing structure in one system and fit-out in another. When fit-out begins, the superstructure data carries forward. The full project narrative remains in a single location.

We see this as a necessary evolution in construction intelligence. The ability to maintain continuity from foundations to final handover provides a more complete view of project performance. Project managers can trace how decisions made during the structural phase impact fit-out productivity and final project outcomes.

The ability to maintain continuity has broader implications for lessons learned and future delivery. Teams can now review the complete project history to understand which schedule decisions were effective and which created downstream problems.

The platform's integration with BIM is not superficial. Buildots links progress data directly to the structural elements and quantities defined in the model, thus enabling project teams to run schedule analysis, resource planning, and cost forecasting using verified progress data rather than estimates.

The ability to update the BIM with actual progress information creates a feedback loop that improves the accuracy of project forecasts. As the project progresses, the team's understanding of productivity rates and cycle times becomes increasingly precise.

• Integrating drone imagery with BIM data provides objective progress metrics during the historically opaque superstructure phase, eliminating reliance on subjective site assessments.

• Early detection of cycle-time deviations allows project managers to implement recovery plans before delays impact subsequent trades and compress the fit-out schedule.

• Maintaining a single continuous data record from underground utilities through to fit-out eliminates information silos and context loss that typically occurs when switching between systems.

• Verified site evidence strengthens trade accountability and improves the accuracy of stakeholder reporting, shifting conversations from opinion-based disputes to data-driven discussions.

• The integration with BIM enables project teams to use verified progress data for schedule analysis, resource planning, and cost forecasting, improving forecast accuracy as the project matures.

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All content reflects our personal views and is not intended as professional advice or to represent any organisation.