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Data & AI Strategy

Our Operations Team Reviewed 5 AEC Firms’ Tech Stacks. Here’s What We Found.

Arvaya 2 min read
Construction crew in hard hats and safety vests standing on a concrete deck overlooking rebar and post-tension cables on a large building site

As we grow, research, and meet with clients, the same patterns keep showing up — and we’re sure you’re running into them too. Here are our conclusions. Let us know what you think by commenting on our LinkedIn post.

5 patterns we found in AEC tech stacks

1. Too many tools

CRM, ERP, PM software, estimating platforms, spreadsheets layered on top of everything. More tools didn’t mean better operations, just more complexity.

2. No real integration

Systems weren’t built to work together. Teams were manually moving data between platforms, creating delays, errors, and constant rework.

3. No clear ownership

No one truly “owned” the system. IT managed pieces, operations used it, leadership expected results, but no one was accountable for how it all worked together.

4. Reporting was reactive, not real-time

Leadership relied on static reports pulled after the fact, instead of having live visibility into performance, pipeline, and project health.

5. Workflows built around limitations, not goals

Processes were shaped by what the software could (or couldn’t) do, instead of what the business actually needed.

It’s a system architecture problem

Firms have a system architecture problem, and adding more tools is not the solution.

Our engineers build operations that improve how everything connects, operates, and scales together. That’s where the real advantage is.

Let us know your thoughts on our LinkedIn post.

Tell us what you’re trying to solve.

Whether you’re trying to help your workforce adopt AI, connect disconnected systems, or clean and migrate critical business data, we’ll help you determine the right next step.

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North Charleston, SC 29405
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