See the change. Review its significance.
The product vision uses dated room captures to identify construction changes, estimate progress by trade and support engineer review.
The information.
The context. The next step.
Repeated visits create valuable evidence, but comparing every room manually takes time. The proposed AI-assisted workflow focuses attention on candidate changes and keeps the underlying captures available to the reviewer.
AI Progress TrackingIllustrative workflow
From source information to a useful action.
- 01
Compare dates
Select captures of the same location.
- 02
Review AI findings
Inspect highlighted changes and trade estimates.
- 03
Validate
Check the evidence and report an issue.
Ceiling lining appears between two site captures.
The illustrated workflow highlights the change and presents it as a ceiling-related observation. An engineer checks coverage, distinguishes installed work from temporary materials and decides how it should inform reporting.
Capabilities and delivery scope.
These materials show the intended experience. Automated change classification, trade-level progress estimates and schedule comparison are proposed capabilities; availability and validation must be confirmed during your demo. AI findings require engineering review.
- Dated capture-to-capture comparison
Keep the room, dates and viewpoint context alongside the comparison.
- Visual change map: new, removed, modified and unchanged
Highlight candidate areas of new, removed, modified and unchanged work.
- Room elements and trade classification
Associate visible observations with relevant construction trades.
- Key construction-event detections
Identify potentially meaningful events for closer review.
- Proposed trade-level progress estimates
Review estimates with their source evidence and measurement assumptions.
- BIM and schedule comparison
Bring design and programme context into the engineering discussion.
- Clash and difference review
Investigate apparent discrepancies before classifying a finding.
- Engineer verification and issue reporting
Confirm, correct or reject observations before using them in project reporting.
A clearer starting point.
Is an AI estimate certified progress?
No. Visual estimates are supporting observations and require validation against the project’s measurement and acceptance rules.
What affects the interpretation?
Lighting, obstructions, moved materials, capture coverage and viewpoint differences can affect the result.
Bring one project question. Leave with a clearer scope.
Walk through the relevant workflow, source information and rollout requirements with the BIMerge team.