Pre-Conference Day

Moving beyond the hype to examine what practitioners experience every day, this workshop tackles real implementations, genuine headaches, and practical lessons learned from security leaders who have deployed AI tools in production environments for construction.

• Exploring real enterprise AI implementations in construction, highlighting both successes and challenges faced by practitioners, including valuable lessons learned
• Developing business cases for AI innovations that evolve rapidly, ensuring investments are justified despite the fast pace of technological change
• Preparing construction data for AI by using AI tools to address inconsistencies in file naming and storage by project managers

Security teams face mounting pressure to enable AI adoption while managing unprecedented risks, addressing the age-old challenge with new urgency: how to introduce security controls without creating friction that drives shadow IT and sideloading.

• Establishing AI governance frameworks that balance innovation and security, addressing executive pressure and data licensing concerns while ensuring efficient approval processes
• Implementing security measures for AI-generated code, including code scanning tools and controlled environments for vibe coding, as deployment requests increase to daily
• Preventing shadow IT while promoting legitimate AI experimentation through awareness programs, practical strategies for small teams, and using AI agents to counteract AIpowered attacks

In this interactive session, you’ll break out into roundtables to tackle a live, constructionspecific AI challenge. Working in groups, you’ll define how to balance speed, risk and control, and develop practical actions you can take back and implement across your projects and teams.

• Define how to manage rapid AI adoption across projects where tools are already being used by field teams, subcontractors and internal functions without full visibility or control
• Develop practical guardrails for AI-generated code, automation and new tools being deployed daily, without slowing delivery or creating friction across project teams
• Build a clear approach to enabling AI use while protecting project data, client information and subcontractor access across fragmented systems and supply chains