Is Your Data a Cluttered Garage?
📰 Everyone says firms are sitting on valuable project data. Few say where it lives, who can see it, or what an AI finds when it reads it. This edition covers the gap between having the data and being able to use it, plus three tests for this month.
If an AI tool went through your firm's shared drive this afternoon, what would it find that you didn't know was there?
Summary
This was the second episode of Arc 3 in The Next AEC Tech Stack. The first one asked what a firm's project history is worth. This episode asked why you can't use it. Two reasons kept coming up: the data means different things to different systems and different people, and it's scattered across far more places than anyone planned for.
I put that to Ariel Cooke-Zamora and Matt Wash at Bimbeats, Randall Stevens at AVAIL, Aaron Vorwerk and Mike Soldan at Egnyte, Ross Wagner at Pirros, Sasha Crotty at Autodesk, Andy Rahden at Bentley, Dimitrie Stefanescu at Speckle, Chris Razzell at dRofus, Marty Rozmanith at Skema, Jesper Wallgren at Finch, Scott Reynolds at UpCodes, Campbell Yule and Theodoros Galanos. What stood out to me was where they split. Some said structure the data first and write down what every field means. Others said an AI agent can work through the mess, and the real gap is the decisions nobody recorded.
A reminder that applies to every episode in this series: these conversations were recorded weeks ago, and the tools have kept moving since.
| Arc 3 presenting sponsor | |
| Speckle makes design data actually usable across projects, so your team can trust it, own it, act on it, and make better decisions faster. | |
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What's Inside
- The dictionary. Ariel Cooke-Zamora's first question to an LLM about Revit warnings got a wrong answer. What did he have to write down so it stopped?
- Clean it first? Marty Rozmanith called a firm's data a cluttered garage and said nobody has to wash it before using it. The people selling structure see it differently.
- The why. Aaron Vorwerk heard from customers that up to 80% of a project's data never sits in the delivery tools. Where does it sit?
- Nine digits. A customer that hadn't classified its data typed a short request into an AI tool. Mike Soldan told me what came back in two seconds. Spoiler: It’s not good.
- One database or many. Chris Razzell said the model is the wrong home for most project data. Sasha Crotty and Campbell Yule came at it from different angles.
- Retrieval Augmented Generation (RAG). Theodoros Galanos said it works in only two cases. Which two, and what does he pair an agent with instead?
