Construction organizations are rapidly investing in artificial intelligence, yet many are struggling to move beyond isolated pilots, disconnected tools, and unrealistic expectations. While AI technologies continue to advance, most implementation failures are not caused by the technology itself — they stem from poor data quality, siloed workflows, weak governance structures, and organizations attempting adoption before they are operationally prepared.
At the same time, many construction leaders are being pressured to “move quickly” on AI initiatives without a clear understanding of what successful implementation actually requires. The result is growing confusion around where AI creates real operational value, what foundational systems must exist first, and how organizations can scale adoption without creating additional risk, inefficiency, or organizational resistance.
This 1.5-day course provides a practical framework for evaluating and improving AI readiness within construction organizations. Through a structured approach to data modernization, workflow alignment, governance, operational integration, and organizational change management, attendees will gain the tools needed to assess current maturity, avoid common implementation pitfalls, and develop a realistic roadmap for scalable AI adoption. Register now to move beyond AI hype and build the operational foundation required for long-term success.