About

Enterprise-grade systems thinking. Without the bureaucracy that usually comes with it.

Most people building AI agents have never sat inside a live enterprise implementation — the change windows, the compliance reviews, the teams that can’t afford a bad deploy. I have, for years. Reimer Original exists because that combination is rare: someone who can speak both operations and AI, and bring the discipline of one to the speed the other makes possible.

Todd ReimerReimer Original · Huntington Beach, CA

Where I start

It’s rarely the technology that’s actually broken.

Most of what I get called in for isn’t a tooling problem. It’s a handful of operational patterns that show up everywhere, at every size:

Nobody fully trusts the status

Reports get built from memory, a spreadsheet, and whoever remembered to update it last. Everyone has a number. No two match.

The system of record has quietly split into six

Every team keeps its own version of the truth, because the official one is too slow or too rigid to actually use.

One person is the process

The workflow runs fine, as long as the person who understands it doesn’t take a vacation, change roles, or leave.

“We should automate that” never moves

Everyone agrees it’s worth doing. Nobody has the bandwidth to build it properly — so it stays a sentence in a meeting.

How I think

The same discipline, at whatever size the problem actually is.

Large implementations teach you to distrust anything that isn’t logged, reviewable, and reversible — because when something breaks at that scale, you need to know what happened, who touched it, and how to undo it.

That standard doesn’t get relaxed for a smaller engagement. It gets applied faster, with less overhead, because there’s no six-month procurement cycle standing between a good idea and a working system.

I diagnose before I build. Most of the time, the fix keeps what already works — the spreadsheet stays, the process stays — and puts something better behind it, rather than replacing it wholesale and hoping everyone adopts the new thing.

Working together

No account team. No hand-offs. Just the work.

You talk to the person doing the work, every time. Engagements start with thirty minutes and a real problem, not a deck.

From there it’s short, visible iterations — you see things working before you’re asked to commit to more. I’d rather show you a working version of something small than describe a plan for something large.

If an idea doesn’t hold up once it’s built, we find that out in days, not in a scope document six months from now.

Why agents, why now

A career of implementations. A category that only recently caught up.

Enterprise systems have always demanded rigor — you don’t get to guess in production. AI agents spent a long time not meeting that bar.

That’s changed. The tooling is finally good enough to bring into operations that can’t tolerate a black box, which means the two things I know best — how real organizations actually run, and what these systems can now reliably do — are finally the same conversation.

Tell me what’s not working.

If it’s not a fit, I’ll say so — and point you somewhere better if I can.

Start hereSend a note or book 30 minutesThirty minutes, no deck.

Back to the map