Every construction leader is asking the same question right now:
Should we build our own AI tools in-house or buy purpose-built ones?
The wrong answer could cost you money and months of effort, expose your company to risk, and leave your team chasing problems.
This 60-minute webinar brings together construction leaders who have built and bought AI solutions to share their experiences, learnings, and considerations when making one of the most important decisions facing our industry today.
WHAT YOU’LL WALK AWAY WITH
• A clear framework to make any AI build vs. buy decision
• Things you need to consider before building AI tools in-house
• How to know if buying is the right decision and what to look for
• Advice from a GC and a trade contractor who handle real build vs. buy choices
• Where vibe-coded tools break down in real construction workflows
• Why this is a risk decision, not a technology decision
STRAIGHT TALK FROM THE SESSION
“The technology has never been better or easier to come by, but it’s still going to rely on people driving results. My message is: be that leader, stand up and make change happen.”
— Josh Levy, Co-Founder & CEO, Document Crunch
“What general AI does is make the first 90% of building substantially easier, and it makes that last 10% substantially harder.”
— Lee Harris, VP of Engineering, Document Crunch
“If you really need it to work, buying is probably safer because it’s not just you, it’s a team, and it’s designed for a specific role.”
— Jay Gilchrist, Business Solutions Manager, Hardy Corporation
Panelists:
Josh Levy, CEO, Document Crunch
Lee Harris, VP of Engineering, Document Crunch
Dominic Corrado, Director of Construction Technology, (TX & AZ) Balfour Beatty
Jay Gilchrist, Business Solutions Manager, Hardy Corporation
Session Agenda:
- The AI Moment in Construction — Why the energy is real and where the hype cycle sets in
- Types of AI Available Today — General vs. domain-specific vs. agentic AI (what each does and what it can’t)
- The Vibe Coding Trap — Why solo AI tools break the moment you go “multiplayer” across teams
- Build vs. Buy Framework — The questions and considerations that instantly sort any AI initiative into the right bucket
- GC Perspective: Balfour Beatty — Staying focused while others chase every new tool
- Trade Contractor Perspective: Hardy — Building cautiously and buying the right AI
- Accuracy, Liability, Trust — Why this is a risk decision, not a technology decision
FREE RESOURCE
Download this one-page matrix that maps out different types of AI solutions, including what each one is built to do, where it adds value, and where it adds risk. If you’re trying to figure out what to build, what to buy, and what to skip, this is a great reference that you can share with your team.
Can’t Wait?
Skip the webinar and sign up for a personalized demo