Make AI actually useful for the way your operation runs.

Free AI tools are easy to try and easy to abandon. They don't know your procedures, your customers, or the way you actually quote and run a job, so your people end up re-explaining the business every morning and getting generic answers back. The fix isn't a bigger subscription. It's setting AI up around your operation, with your own knowledge inside it.

I spent my career in manufacturing, including a decade running a machine shop. So I'm not coming at this as a tech vendor who read about your world in a case study. I know the difference between what genuinely helps on the floor and in the office and what just demos well. I'll tell you straight which is which.

The problem, in plain terms

The same few things come up in almost every conversation:

• "We tried AI, but it doesn't know anything about us." Every question starts from scratch because the tool has none of your context: your specs, your customers, the way you do things.
• "Half of what makes us good is in two people's heads." When they're out, or when they retire, the know-how walks with them, and there's no good way to scale it.
• "The office does the same things over and over." The same quotes, the same documents, the same answers re-typed and re-found, day after day.
• "Everyone says use AI, nobody says how." The gap between a free chatbot and something that's actually useful for your operation is real, and crossing it is the whole job.

How it works, three steps, and you only climb as far as you need

Most operations start at step one and stop there. The later steps only matter when step one runs out of room.

• 1. Set up your team's AI workspace. I stand it up around the workflows your office already runs and load in your own knowledge: procedures, specs, templates, the way you actually do things. Useful on day one. Nothing built yet.
• 2. Connect it to the systems you already run. I wire it into the document systems you already use, so when your procedures change, the AI stays current. Nobody has to remember to update anything.
• 3. Build the pieces that have to be exact or automatic. Some things have to run on their own or get the numbers right every time. Quoting, integrations, a tool built around the AI so it does the exact work. Those I build as real software, and that's the step up once you've outgrown the off-the-shelf setup.

I'll tell you which step you actually need, and when you don't need me to build anything at all.

Your data stays yours

The first question every operation asks: where does our data live, and is it training somebody's AI? The straight answer: it's set up inside the environment you already run, under your own accounts. Your prompts, your documents, and your know-how stay in your own systems; the platform vendor acts only as your processor, and none of it is used to train the underlying AI models. The assistant can only see what the person using it already has permission to see. And if you do ITAR- or CMMC-controlled work, there's a government-cloud option that keeps everything inside that compliance boundary.

I'm not married to one tool. Most often that's Claude (Teams) set up around your business; if you run Microsoft or Google, I fit it to that; if you need a shared knowledge base that does more than an off-the-shelf assistant, I build toward that. I fit the setup to how you already work, not the other way around. The point was never a particular vendor; it's that your data stays in your hands and the tool actually knows your business.

What this isn't

I'd rather be straight about the edges than oversell it. This assists your people; it doesn't replace them. Most of what I set up is there to take the repetition off your staff and put your own knowledge at their fingertips, reviewed by a person, not running the business on autopilot. AI still gets things wrong, and there are jobs it can't do reliably yet. Knowing exactly where that line sits is half of what you're paying for; a setup that's honest about what it can't do beats one that pretends it can do everything.

Why a manufacturer, not a tech vendor

• I've run the operation. A career in manufacturing, including a decade running a machine shop. Most AI consultants have never set foot on a floor or sat through an ISO audit. I speak the language because it's mine.
• I tell you when not to spend money. If a simple off-the-shelf setup is all you need, I'll say so, and I'll say when building anything at all would be a waste. That restraint is what makes it mean something when I do say something's worth building.
• I cover the whole range. Most providers either set up software or write code, not both, and they don't know where the line is. I do both, so you don't get sold more than the problem needs, or less than it takes to fix it.
• I understand the paperwork you live under. QMS, ISO, the documentation discipline. The AI plugs into how a regulated operation actually has to work.

Two questions that come up before anything else

Both come up on nearly every first call, and both get a straight answer here. The first is whether any of this puts people out of work, which on the floor it does not: will AI replace CNC machinists covers where the real change lands and where the AI label is doing more work than the software. The second is the one your customers are starting to ask you: is ChatGPT safe for company data, including prints under NDA and anything export-controlled.

Getting started

Small and low-commitment. A one-time setup to stand up your workspace and load it with your knowledge, then a month-to-month I keep running for you. Stay with it as long as it's earning its keep, and step away the day it isn't. There's no long contract to sign before you find out whether it's worth it.

Common questions

Which AI do you use?

Whichever fits your operation. Most often Claude (Teams) set up around your business; sometimes a configured assistant on the platform you already run. I pick on fit, not on what's easiest to sell, and I'm not a one-tool shop.

Do you handle defense or ITAR-controlled work?

Yes. There's a government-cloud setup built to keep controlled information inside its compliance boundary, so a regulated operation isn't a dead end.

What does it cost?

A one-time setup plus a month-to-month you can step out of. I scope the setup to your operation on the first call. It depends on how much knowledge there is to load and how many people use it.

What if we outgrow the off-the-shelf setup?

That's step three. I build that piece as real software and run it for you. Same person who set up your workspace, so nothing gets lost translating between a setup team and a build team.

Where does AI stop and regular software start?

Roughly: AI does the reading, code does the arithmetic. It's the single most useful thing to get straight before you spend money, so it has its own page: AI is a good reader, it's a bad accountant.

Related reading: capturing the know-how that walks out the door, the same problem from the knowledge-capture angle.

If this has already been tried once. Plenty of operations bought accounts and watched nobody use them, and the reason almost never turns out to be the people: why most AI projects fail in small manufacturing. If what's driving this is that you can't fill the office roles, that page lists what to automate first and in what order. And if somebody has suggested a drag-and-drop tool would do the same job for less, here's where those stop working.