Description
AI tools are not just adding new features to CAD workflows. They are changing where the real work happens.
Some tasks that used to require deep CAD knowledge can now be researched, diagnosed, or automated faster than before. At the same time, more decisions about standards, support, compliance, and workflow ownership are landing on the CAD manager's desk.
This session looks at what is actually changing in day-to-day CAD management, including advanced support research, complex CAD issue diagnosis, CER crash analysis, CAD standards compliance, and using real project and support data to develop better best practices. We will focus on the skills that are becoming more valuable and how to prepare your team before the shift catches you off guard.
Some tasks that used to require deep CAD knowledge can now be researched, diagnosed, or automated faster than before. At the same time, more decisions about standards, support, compliance, and workflow ownership are landing on the CAD manager's desk.
This session looks at what is actually changing in day-to-day CAD management, including advanced support research, complex CAD issue diagnosis, CER crash analysis, CAD standards compliance, and using real project and support data to develop better best practices. We will focus on the skills that are becoming more valuable and how to prepare your team before the shift catches you off guard.
Key Learnings
- Identify CAD management and support tasks being reshaped by AI, including advanced support research, issue diagnosis, standards compliance, crash-report analysis, and data-driven best-practice development.
- Learn how AI shifts decision authority and workflow ownership within AEC teams.
- Assess your current team's skill profile against an AI-augmented workflow model.
- Develop a transition strategy for CAD management roles in an AI-integrated environment.
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