Pre-Conference Day

• Exploring the tension between top-down AI implementation directives and the current state of digitization, where foundational workflows may still be maturing
• Discussing whether AI requirements genuinely enhance outcomes versus overshadowing operational fundamentals
• Balancing make versus buy decisions to accelerate sustainable innovation

• Presenting approaches to respond to AI misuse to protect brand credibility
• Setting guardrails that support people and clients, enabling teams to embrace AI without crossing integrity boundaries
• Reconciling client concerns on tools and data ownership, including outlining a responsible evaluation process for AI vendors before enterprise roll out

It’s clear that leveraging AI is becoming a necessary inevitability to drive your firm’s competitive edge. But there are clear challenges in the security of these tools and end users’ trust in different outputs. Join this interactive session to gain insight into:

• Developing AI usage policies, consulting legal, HR, and security teams to build user guidelines, monitor usage of AI tools, ensure data security with vendors, and mitigate misuse across the enterprise
• Examining the growing challenge of employees bypassing sanctioned tools, and how the technology team should act as a custodian of the stack
• Getting end user buy-in to new tools while educating them about the importance of human oversight given untrustworthy outputs, including framing AI as a practical tool that relieves pain points
• Exploring how firms are balancing innovation with their commitment to their people, minimizing fear among employees that their jobs are going to be taken by AI

In an industry saturated by unproven tools, ever-changing strategies, and unclear expectations, construction leaders are struggling to pinpoint where AI genuinely adds value and seamlessly integrates into the project lifecycle. Take advantage of a grounded exploration of the use cases being tested and implemented in firms today to deliver measurable change. Join your peers in:

Tailoring your AI initiatives and investments to your firm’s priorities, business need, cost, and long-term maintainability

Exploring the applications that early adopters are prioritizing, particularly in agentic AI, estimating, scanning, and project controls, and why smart implementation depends on high-quality inputs

Discovering how firms are integrating AI into established and tested workflows to maximize adoption and ensure efficiency

Quantifying the gains realized through effective AI implementation: what are the KPIs you should be testing?