Should construction companies sort out their data before using AI? Or can AI sort it out for them?
We put two heavyweights in the ring to fight it out.
In one corner: Dustin DeVan, one of the most decorated CEOs in construction tech. Exited Building Connected for $275M. Now running Ediphi. He's seen $400M liens and knows what happens when your data falls apart in litigation.
In the other corner: KP Reddy, serial entrepreneur, founder, investor, and the man with 48 career experiences on LinkedIn (yes, we counted). He's backed by the biggest names in AEC and has been building stuff since he was a kid.
Dustin says get your house in order first. He's been through a $400M lien. Messy records in court? Not fun.
KP disagrees. Projects end, teams move on, data ends up everywhere. That's just how construction works. AI can make sense of the mess.
One thing they agreed on — Excel isn't going anywhere.
No punches pulled. No fluff.
Who won? You decide.
🎧 What's your take — do we need structured systems before AI, or can AI help us build structure from the chaos?
Our Sponsors:
Provision helps pre-construction teams find risks and scope gaps early so they can bid with confidence: https://www.provision.com/
Presented by Track3D - The first reality capture intelligence platform for smarter construction: https://track3d.ai/
HVAKR - Develop mechanical designs under budget and ahead of schedule: https://www.hvakr.com/
ALICE Technologies - Automates 'what-if' scenario exploration with AI — enabling you to rapidly test options, mitigate risk, and optimize schedules: https://www.alicetechnologies.com/home
Datagrid - Agentic AI that reads your docs, connects your tools, and gets the job done: https://datagrid.com/
00:00 Intro
01:00 Introduction to the Debate
03:25 The System of Record: Centralized vs. Decentralized
06:17 The Role of Language Models in Construction
09:18 Understanding Systems of Record
12:14 The Importance of Data Structure
15:07 Ontology and Context in Construction
17:58 The Expiry Date of Data
21:10 Business Building and Venture Capital in AEC
24:05 Excel vs. Cloud Tools
26:54 The Value of Historical Data
30:08 Defensibility in Business Models
33:10 Conclusion and Final Thoughts
