Revision comparison
Locates changes across drawings, reports and specifications and prepares an item list for multidisciplinary review.
Document AI, geometric vision and semantic comparisonAI can organise technical information, identify inconsistencies and prepare analysis so teams decide from current, traceable information.
Technical projects produce drawings, models, quantities, RFIs, minutes, contracts and site evidence through continuous revisions. Relating these objects reduces searching and can expose changes with potential impact before they disappear across emails and repositories.
AI should assist, not sign off or validate design. It can extract requirements, compare versions and prepare alerts; calculations, regulatory compliance, site safety, technical acceptance and authorisations remain with competent professionals.
Each application should be validated against the process, available data and the organisation's actual risk.
Locates changes across drawings, reports and specifications and prepares an item list for multidisciplinary review.
Document AI, geometric vision and semantic comparisonRelates clauses and requirements to deliverables and evidence, always citing the applicable source and revision.
RAG, knowledge graphs and document controlClassifies queries, detects possible duplicates and gathers related drawings, decisions and owners.
NLP, hybrid search and workflow automationSuggests potentially affected cost items, milestones, packages and purchases for the team to assess.
Dependency graphs, rules and schedule analyticsOrganises photographs by location and date and suggests progress or deviation observations for site validation.
Computer vision, georeferencing and BIM modelsCombines critical path, constraints, supplies and reported progress to highlight activities needing attention.
Schedule analytics, simulation and explainable scoringVersion and source traceability are preserved at every step.
Record document, revision, discipline, author, location and status from the official source.
Link requirements, elements, cost items, milestones, queries and existing decisions.
Suggest changes and potential impacts with links to supporting evidence.
The responsible professional accepts, corrects or rejects and signs off outside the model.
The architecture adapts to each provider's APIs, permissions and limits. These are common tools and categories that would need validation.
A pilot could cover one building-services package in an active project. Only approved documents would be indexed, two revision cycles compared, and a queue of suggested RFIs and impacts reviewed by architecture, engineering and delivery teams in their weekly meeting.
A sensible starting point is repetitive, verifiable work such as revision comparison, requirements assistant, rfi triage. Scope depends on available data, current tools and required controls.
Not necessarily. A pilot can connect to systems such as CDE or document management, BIM and Autodesk Construction Cloud, P6 or Microsoft Project scheduling, Project ERP and initially be limited to reading, preparing or proposing actions before automatic writes are allowed.
Outputs are not calculations, certifications, signatures, professional supervision or regulatory validation. Structural, building services, safety and technical acceptance decisions remain with authorised professionals. Only the official revision is analysed; permissions, history and references are inherited from the common data environment.
A pilot could cover one building-services package in an active project. Only approved documents would be indexed, two revision cycles compared, and a queue of suggested RFIs and impacts reviewed by architecture, engineering and delivery teams in their weekly meeting.