Applied AI for teams that run on documents and deadlines
The right answer no longer depends on finding the right person.
I take the files, records, and know-how scattered across your company and turn them into a system your team and your AI can trust. Every answer cites its source, and when two files disagree, it says so instead of guessing.
No meeting required. Send a note about where your company’s knowledge gets stuck and I’ll tell you what I see.
It answers from the case studies on this site and it tells you when the answer isn’t in them.
Not ready for a conversation? Install the smallest version of this yourself.
- Proved on my own operation first. 804 files restructured, zero deleted.
- Graded 12/12 against a hand-written answer key, including the two questions it correctly refused to answer.
- A real estate deal analyzer rebuilt from $8 a run to about $0.60, with numbers you can audit.
Somebody in your company is the search engine.
Your business knows things nobody can reliably get to. Files are scattered, versions conflict, and the context that matters lives in email threads and a few people’s heads. Your most experienced people spend their days answering the same questions instead of using their judgment, and when one of them leaves, you find out how much walked out the door with them.
Meanwhile half your staff is already pasting company questions into ChatGPT and working from whatever comes back. A model that has no idea which of your documents governs will answer anyway, confidently, from the wrong one. That confident wrong answer is the one that costs you.
How it works
- 01 Start with what you have.
No cleanup project first. We work from the files, folders, systems, and people you already rely on.
- 02 Make the business readable.
We establish what’s current, what governs, what your experienced people know that was never written down, and where a human still has to make the call.
- 03 Put it to work.
Your team gets a knowledge system people and AI can navigate without depending on who happens to know the answer.
Your business didn’t get messy because people weren’t doing their jobs. It got messy because they were. I know you can’t stop the business to fix the business.
I don’t expect your files to be clean before we start. The mess is there for a reason, years of exceptions and amendments and workarounds that piled up while people were busy doing their jobs. And I’m not trying to remove your experienced people from the equation. I’m trying to stop making them the only way the company knows what they know.
Think of it like a library. The shelves and the catalog are your knowledge, organized so anything can be found and trusted. The librarian is the AI, and it can be whichever one you already pay for. I build the library. You can swap librarians any time.
I proved the method on my own operation before I sold it to anyone, 3.7GB of records and 804 files restructured with nothing deleted. Then I ran it on a property drive seeded with the problems real drives have, and against a hand-written answer key it went twelve for twelve, including the two questions it refused to answer because the files couldn’t support them. The rest of the builds, with the decisions and the limits, are one click away.
Start with the audit. $1,250.
One hour of your time, and the report is in your inbox within 48 hours. In that hour I trace how the work actually happens, which is almost never how the written process says it happens, and what your information actually says. You get an operating map: how the work runs today, how it would run rebuilt, which single workflow is worth doing first, what any system should and shouldn’t be allowed to do, and what it’s worth in hours and risk.
Four things make it an easy yes. The price is fixed. Nothing in your files gets touched or moved. You keep the map either way. And if we go further within 14 days of getting the map, the full $1,250 credits toward the build, which is $3,500 for one workflow and $4,750 for two.
If the knowledge that runs your business lives in people’s heads and a drive nobody can search, the audit is the right place to start.
The models are getting ready faster than the companies are.
Picture the other side of this. Your team finds the answer, sees where it came from, and knows whether it still governs. Your experienced people go back to using their judgment instead of serving as the company’s search engine. New hires get productive faster. And when you decide to turn AI on, it’s reading a business that’s finally readable.
Waiting doesn’t make that easier. The mess grows either way, three more months of undocumented decisions and another experienced person who might give notice. You can document what somebody knows before they leave. You can’t interview them six months after.