Private Company Chat
Private company chat is your own chat interface — running on your server, behind your privacy filter, connected to your knowledge base. It is what your staff already wanted from the consumer chatbots, without the part where your customer records become somebody else's training data. Staff stop pasting company documents into a public tool because there is finally a better place to ask.
Where this one earns its keep.
Every sector we work in has a version of this problem. These four feel it hardest, and they are where we have built it most often.
What staff are already pasting into public tools.
No invented example here. The method is below; the numbers are yours to put into it.
What to count. staff already using a consumer AI tool × hours a week — that is the work already happening with no log. That is the arithmetic, and it is yours to run — we would rather hand you the method than a number invented for a page.
The ROI calculator models the same shape across a whole team, and its assumptions are published in full underneath it. The number that actually matters comes out of an AI Readiness Audit, which measures your workflows instead of averaging them.
Discover, build, evolve.
The same three phases as every other engagement. Nothing about this build gets its own process.
Discover. We walk the workflow as it runs today — who touches it, where it stalls, what it costs when it slips. That is the AI Readiness Audit, and it ends in a written document you own.
Build. A fixed quote in writing before work begins, then the system goes into your real operation rather than a demo environment. A person stays in the loop on anything a customer sees.
Evolve. Once it is live it needs watching: what it handles, what it escalates, what changed in your business since. That is Managed Services, and it is optional.
Delivered through AI Implementation Sprint.
This build has no price of its own. It is scoped and delivered inside a published service, at the published price.
An AI Readiness Audit runs $3,500–$8,500 and tells you whether this build is the right first move. The build itself is delivered in AI Implementation Sprint. $18,000–$60,000, quoted fixed in writing before work begins.
Private Company Chat, asked plainly.
01Our staff already use ChatGPT. Why change?
Because you cannot see what they pasted into it. A private interface gives them the same usefulness with your records staying inside the building and an audit trail behind every question.
02Is it as good as the consumer tools?
For work grounded in your own business it is better, because it can read your records and they cannot. For open-ended general questions the frontier models are still ahead, which is what the privacy filter routes to.
03Do we need the server and the knowledge base first?
Effectively yes — this is the interface onto those two. It is normally scoped together with them rather than bought as a standalone.
04What does it cost?
It is delivered through an AI Implementation Sprint, quoted fixed in writing before work begins.
30 minutes. A straight answer.
A senior advisor walks your workflows and tells you whether this build is worth doing — including when the answer is not yet.