Ask your own documents a question, get a cited answer
An AI assistant trained on your SOPs, manuals and internal documents — answering in plain language, always showing which document the answer came from.
When the answer exists but nobody can find it
The knowledge is usually already written down — in a manual, an SOP, a past email, a quality procedure. The problem is that finding it requires knowing where to look, which is precisely what a new operator, a junior engineer or a night-shift supervisor doesn't have. So they ask the one experienced person instead, and when that person retires, the knowledge leaves with them.
What's included
Trained on your documents — SOPs, machine manuals, quality procedures, policies and past records, in the formats you already have them.
Plain-language questions — staff ask the way they'd ask a colleague, not with exact keywords or file names.
Citations on every answer — each response shows the source document and section, so answers can be verified rather than trusted blindly.
Access control — different teams see answers only from the documents they're permitted to see.
Gap reporting — questions the system couldn't answer well are surfaced, showing you where your documentation is actually missing.
Multiple interfaces — web, chat or WhatsApp, depending on where your team already works.
What it won't do
It won't invent knowledge that isn't in your documents, and it won't be more correct than the documents it's given — if an SOP is out of date, the answer will be too. In practice, the first round of a project usually surfaces documentation problems that were already there but invisible. That's useful, but it's worth expecting.
Frequently asked questions
Is our data used to train someone else's AI model? No. Your documents power only your own system and are never used to train shared or third-party models. See our security page for how we handle hosting and model vendors.
How is this different from ChatGPT? A general assistant knows nothing about your machines, procedures or policies. This one answers only from your material, and cites it.
How long before we can try it on our own documents? A focused pilot on one document set typically runs in 3-6 weeks, so you can judge it on your own content rather than a demo.
