AI showed up before you decided anything.
You want to know what your people are doing, get everyone trained, and have rules they understood and signed.
You're here to figure out what to do about AI in your business.
Maybe you decided that. Maybe it got decided for you. Either way, the first step is the same for everyone, it's free, and it takes your people a few minutes. It opens your AI workspace — where everything after is explained before it has a price.
Anonymous for your staff. You get the picture in aggregate, in your AI workspace, as answers come in.
A report from six answers. Yours is built from your own people, in your own dollars, and nobody is named.
We start with the people, because that's where AI is already in use. We run a free, anonymous staff survey so the owner can see how it's being used. We train everyone in the business on what these tools do with what they're given, and we test for understanding. We write the company's AI usage policy from what the survey found and what the owner decides, and staff sign it after passing.
We assess what a business actually runs — the software, the databases, the email, the AI already inside them — and put in writing the one thing worth doing first, with a price. Sometimes that's nothing yet.
We build data-driven, AI-integrated websites; web applications with AI in the back end; custom integrations between the tools a company already owns; and tools designed for a specific process — the quote, the intake, the follow-up, the menu. Each one runs inside the policy the staff signed and keeps a record of what it did. For businesses ready for it, we install agents with memory, in defined roles, on infrastructure they control.
Everyone starts with the free survey and gets a workspace. Nobody skips a step — the steps are what make AI safe to use: people who know what the tools do, a policy they signed, a read of what you run before anything is built. Informed use is the safe kind.
You want to know what your people are doing, get everyone trained, and have rules they understood and signed.
You want the map: what you run, what connects to what, and one job done inside the tools you already own.
You want agents with memory, in defined roles, on infrastructure you control, built by people who know how this goes wrong.
Which AI tools your people use, what they put into them, whether they check the answers, and where your rules are missing. Reported in aggregate — you never see who said what.
Yes. The survey, the report, and your workspace cost nothing. Training will be $75 per person ($300 minimum) when it opens — the modules are being written and nothing is for sale yet; everything else is quoted after an assessment.
A few minutes per person. Your report opens when everyone has answered — four responses in a business of four or more, all of them in a smaller one.
No. Most owners set boundaries and train to them instead. The survey is what tells you which boundaries you need.
We're not for AI or against it. We're for boundaries — decided in advance, written down, signed, and logged.
Our position on AISend your people the survey. It's anonymous, it takes a few minutes, and you see what comes back in your own workspace — what's being used, what's going into it, where the exposure is, and what your people think. Everything after that happens in order, from the same place, and each step is explained before it has a price. Nothing is sold before you've seen your own numbers.
We start from what you already have. We fix one thing at a time. We write down the rules before the AI does anything. We tell you when the honest answer is to do nothing yet.
Some of the businesses we work with are regulated, and the rules differ by state and by profession. Before we install anything, we identify the guidance that applies to you and write the system's boundary to it, in writing. We keep current as that guidance changes, and we say so when a rule means the answer is no.