Wednesday May 07, 2025

Driving Construction Forward with AI: From Jobsite to Smart Site

What does it take to truly transform construction? In this episode of Bridging the Gap, Todd Weyandt chats with Paul Hedgepath of MJ Harris about the powerful intersection of innovation and practicality on the jobsite. With over 25 years of experience, Paul dives into how BIM, AI, and reality capture are reshaping workflows across industries like healthcare, aviation, and education.

Discover how to lead technology adoption, build smarter with data, and future-proof your teams in a rapidly evolving industry.

🔎 Topics We Cover:

How to drive meaningful innovation with BIM, AI, and reality capture
Why adaptability and communication are key to long-term success
Breaking down silos and making tech adoption less intimidating

🎧 Listen now for more insights on the future of building.

Meet Our Guest

Paul Hedgepath is Director at MJ Harris Construction. In his role, he leads construction technology and BIM operations, integrating practical tools into project workflows and fostering collaboration among design teams, trades, owners, and field teams. His goal is to help teams use technology effectively for better project outcomes.

TODD TAKES

Tech Culture Starts with Trust and Action

Adopting construction technology isn’t just about the tools—it’s about building a culture that trusts innovation. By getting hands-on, showing results, and addressing real field problems, tech leaders can build credibility and foster meaningful buy-in from teams on the ground.

AI is Already on the Jobsite—And It's Working

AI isn’t just a buzzword anymore. Teams are actively using smart assistants to review submittals, flag schedule risks, and cross-check documents—saving time and reducing rework. It’s about aligning AI with real tasks, not just theoretical use cases.

Training and Simplicity Drive Adoption

Rolling out new tech—especially AI—requires thoughtful training. That means using real-world examples, simplifying workflows, and giving teams just what they need to succeed without overwhelming them. A one-pager and clear pain-point examples go a long way toward making AI stick.