How to Use AI with BIM Workflows

Building Information Modelling has transformed how construction projects are designed, coordinated, and delivered. As AI capabilities advance, the intersection of AI and BIM is creating new opportunities to automate documentation, improve coordination, and streamline information management throughout the project lifecycle. While some of these applications are mature and others are still emerging, understanding where AI fits into BIM workflows today will help you prepare for where the industry is heading. This guide covers the practical ways AI can enhance BIM processes, with reference to ISO 19650 as the international standard for information management using BIM. BIM EXECUTION PLANS A BIM Execution Plan (BEP) is a fundamental document on any BIM-enabled project, setting out the information management processes, standards, and responsibilities. Under ISO 19650, the appointed party prepares a BEP in response to the Exchange Information Requirements (EIR) or Asset Information Requirements (AIR). AI can help draft BEPs by generating structured documents that cover all the required sections: project information, standards and procedures, modelling conventions, information exchanges, collaboration processes, and quality assurance methods. You can prompt: "Draft a BIM Execution Plan for a new-build secondary school project using ISO 19650 conventions. The project is at RIBA Stage 3, the common data environment is Autodesk Construction Cloud, and the lead appointed party is an architectural practice." The AI will produce a comprehensive framework document that the BIM manager can then populate with project-specific details. This is particularly valuable for smaller practices that may not have extensive BEP templates, or for teams responding to multiple tenders simultaneously who need to produce tailored BEPs efficiently. CLASH DETECTION AND RESOLUTION Clash detection is one of the most labour-intensive aspects of BIM coordination. Tools like Navisworks and Solibri identify thousands of clashes between disciplines, but documenting, prioritising, and tracking the resolution of those clashes requires significant manual effort. AI can assist in several ways. After running a clash detection report, you can feed the summary data into an AI tool and ask it to categorise the clashes by severity, discipline responsibility, and resolution priority. AI can draft clash resolution meeting agendas that organise clashes by area or discipline, and it can produce meeting minutes that record decisions and assign actions. For clash reports, AI can take raw clash data and produce professional documentation that clearly describes each clash, identifies the responsible parties, and recommends resolution approaches. This turns what might be a spreadsheet of coordinates and element IDs into a readable report that the design team can act on. MODEL AUDIT REPORTS Quality assurance of BIM models is essential but often inconsistent. AI can help structure model audit reports that follow a standard format, covering naming conventions, classification compliance, level of information need, georeferencing accuracy, and data completeness. You can describe the findings of a model review — "The structural model has 47 elements with missing classification codes, the ceiling heights on Level 2 do not match the architectural model, and the fire rating data is incomplete for the corridor walls" — and ask the AI to draft a formal model audit report with findings, non-conformances, and required actions. The output is a professional document that drives accountability and improvement. AI FOR DESIGN COORDINATION Beyond clash detection, AI can support the broader design coordination process. This includes drafting RFI documents based on identified coordination issues, producing design review reports that summarise comments from multiple stakeholders, and generating coordination tracker updates. For RFI management specifically, AI can draft clear, well-structured RFIs from brief descriptions of the issue: "There is a conflict between the structural beam at gridline C-7 on Level 4 and the mechanical ductwork routing shown on the MEP coordination drawing. The beam soffit is at 3100mm and the duct requires 400mm clearance below." The AI produces a formal RFI with the issue description, reference drawings, and a request for design resolution — saving the coordinator time on every submission. INFORMATION HANDOVER AND O&M DOCUMENTATION One of the greatest promises of BIM is the structured handover of information at project completion. Under ISO 19650, the project information model feeds into the asset information model, providing the client or facilities management team with organised, accessible data about the building. AI can help structure Operation and Maintenance manuals by generating templates that cover all building systems, organising manufacturer data, and producing user-friendly summaries from technical specifications. It can also assist with COBie (Construction Operations Building Information Exchange) documentation by helping to format and validate data exports. For handover packs, AI can draft structured documents that cover as-built information, warranty details, maintenance schedules, and operating instructions — pulling together the various data sources into a coherent, client-facing package. THE ROAD AHEAD The integration of AI and BIM is still in its early stages. Current AI tools are strongest at helping with the documentation that surrounds BIM processes rather than working directly within models. However, this is changing rapidly. Autodesk, Bentley, and other platform providers are embedding AI capabilities directly into their tools — from generative design options to predictive analytics based on model data. For construction professionals working with BIM today, the practical advice is this: start using AI for the documentation tasks that sit alongside your BIM workflows. Draft your BEPs, clash reports, and model audit reports with AI assistance. As the technology matures, AI will move deeper into the modelling process itself. The professionals who are comfortable using AI for BIM documentation today will be best positioned to adopt those more advanced capabilities as they arrive.