Session 1: BIM Modelling for Data-Driven and AI-Ready Workflows 

Develop your BIM capability beyond modelling and learn how structured information supports data-driven workflows across the built environment lifecycle.

This practical one-day CPD workshop introduces information-rich BIM modelling, covering BIM parameters, information requirements and model preparation for scheduling, costing, asset management, automation and Digital Twin applications.

The workshop also introduces LiDAR point clouds and a short Scan to BIM activity using a prepared dataset. 

Course Description

This practical one-day CPD workshop is designed for built environment professionals who want to move beyond traditional BIM modelling and develop information-rich models that support integrated, data-driven digital workflows.

Participants will explore how structured BIM information can be used to support downstream applications including project scheduling, cost management, asset management, automation, AI-supported analysis and Digital Twin development.

The session takes a workflow-based approach rather than focusing solely on individual software tools, helping participants understand how information moves from model creation through to data extraction, analysis and decision-making. Participants will also explore how AI tools such as ChatGPT and Microsoft Copilot can support BIM information planning, parameter development, naming conventions and model quality-checking workflows.

Course Content

The workshop covers:

• BIM principles: understanding the difference between geometry and information

• Structured BIM modelling, including families, parameters and naming conventions

• Level of Information Need (LOD/LOI) and information requirements

• Preparing BIM models for scheduling, costing and asset management

• BIM as a foundation for Digital Twin development

• Using AI tools to support BIM parameter planning, asset information templates and quality-checking processes

• Creating information-rich BIM models suitable for integrated digital workflows

•  Introduction to LiDAR based reality capture and point cloud data. 

• Using point cloud information to inform as built BIM modelling. 

Practical Activities

Participants will gain hands-on experience with:

• Creating BIM models in Revit

• Adding structured parameters such as cost information and asset IDs

• Generating schedules and exporting BIM data

• Using AI tools to support BIM information structuring and review

• Explore a prepared point cloud and model selected building elements in Revit.