Most companies still run on a system of record built two decades ago, long before anyone in the room had said the words "language model" out loud. We build the replacement. But we don't lead with replacement, and neither should you.
Your system of record is the thing your business actually believes. It's where orders live, where inventory is counted, where patients are registered, where the numbers come from when finance closes the month. Everything else is downstream of it: the spreadsheets, the side databases, the email threads.
When the system of record is good, work feels light. When it's old, every workflow drags a tail of manual grunt work behind it. People copy-paste into Excel, reconcile by hand, re-key into the next tool. The moment they start trusting their own spreadsheets more than the system, you know the system has stopped earning its keep.
The ERPs running most operations today were designed for a world of forms, batch jobs, and human data entry. They were not designed for:
You can wrap a legacy core in integrations and bots for a long time, and we help customers do exactly that. But there's a ceiling, and at some point the honest move is a new core, built on a current stack, with AI assumed as a first-class participant rather than bolted on after the fact.
We meet customers where they are. The order matters.
Start with the copy-paste-into-Excel work that surrounds the existing system. Quick wins, real hours back, no rip-and-replace. See Automate.
Wire the systems you already own so data moves on its own and stops disagreeing with itself. Your legacy core stays in place; the friction around it goes away. See Connect.
Once the grunt work is gone and the systems talk, the shape of the real replacement becomes obvious, and far less risky to build. That's when we put in the new system of record, on a stack designed for the AI era, with a human expert in the loop where judgment belongs.
This sequence isn't a sales tactic; it's how the work goes well when we've watched it from the inside.
A legacy core surrounded by manual processes leaves a visible trail. Information gets copied into an Excel document, then re-keyed into another tool, then emailed to someone who pastes it somewhere else.
The PIE Project at the Nebraska Department of Health started exactly there. We automated the manual grunt work around the existing system, and connected the pieces that needed to share data. From there, the path to a modern system of record became something the team could see and plan for, instead of a scary one-shot migration.
Right now the truth lives in five places. Let's fix that.