The AI Reality Check
Industry Data You Can't Ignore
Real-world lessons from AI adoption in AEC
Virtual Session · 30 Minutes + Q&A · Includes Live Demos
When
May 20
Time
3:00 PM ET
Location
Online
Stats
A Familiar Story
Meet Meridian Engineering
Mid-size AEC · 500 employees · Multiple offices
Meridian* had the budget, the mandate, and the ambition. When leadership was asked to "get AI going," they moved fast and started to build AI tools across firm’s various workflows. What they didn't have was clean data to build on, guardrails around who was accessing what data, or a roadmap that tied investments to actual business goals. When things started breaking down — bad outputs, the wrong people accessing sensitive data, use cases with no clear ROI — they had to stop and re-evaluate their strategy.
Meridian's story isn't a cautionary tale about bad decisions; they made the same moves most firms make. The difference was they recognized the gaps and came up with a plan to fix them. That's exactly what this session is about.
*The name is fictitious, but the story is real and recurring
We'll Walk You Through:
ü Where most AEC firms are prioritizing AI investments today
ü Areas where firms are hitting a wall with AI adoption and the root causes
ü How to develop a comprehensive Data & AI strategy and roadmap to deliver measurable results
ü How to ensure your firm’s data is ready for successful AI initiatives
ü How to create a practical governance framework that ensures safe and controlled AI adoption
ü How leading AEC firms are unlocking their unstructured data – past proposals, project deliverables, and institutional knowledge – to work more effectively
ü Live demos of AI use cases that deliver value in AEC