Presented by slashBlue

Everyone’s talking about AI.
Very few firms are actually getting value from it.

The AI tool landscape is growing, which means disparate systems doing different tasks, each costing thousands of dollars.

To compound the problem, most AI tools today are trained to understand the internet… not engineering. That means when architects and engineers ask complex, high-stakes questions, they often get answers that sound right—but are completely wrong in context. And in AEC, “mostly right” isn’t good enough.

Join slashBlue and Nomic for a fast-paced, highly engaging 60-minute session that breaks away from the typical webinar format. This session blends real-world insight, humor, and live demonstration to uncover why so many AI initiatives stall, and what to do instead.

In this session, you’ll learn:

  • Why most AI tools fail to understand AEC language, workflows, and risk
  • How general-purpose AI creates fragmented, low-ROI experimentation across firms
  • What it actually takes to train AI to interpret drawings, specs, and engineering intent
  • The difference between generic AI outputs and domain-specific intelligence
  • How leading firms are using purpose-built AI to complete real AEC work in minutes, not hours

You’ll also see a live demo of how domain-trained AI is being applied today, along with practical insights from industry experts in cybersecurity, IT strategy, and AI development.

If your firm is experimenting with multiple AI tools but struggling to connect them, trust them, or scale them—this session will show you why.

And more importantly… what to do next.

Because the real question isn’t “Should we use AI?”

It’s: Does your AI actually speak AEC?