What if it makes something up?
It answers only from your sources and links them, so every answer can be checked. When nothing in your sources answers the question, it says so instead of guessing.
We build an assistant that answers your team’s questions from your policies, wikis, drives and systems, in Slack, Teams or the browser. Every answer links its source, and when it doesn’t know, it says so and sends the question to a person. Measured before and after.
A question in Slack, Teams or the browser, in plain words.
The passages in your documents and systems that answer it, from only what the person asking may see.
In a few sentences, with every point linked to its source.
Whether the sources agree and are current; if not, it says so.
No good source means no answer: the question goes to the right person instead.
We take these numbers on the questions your team asks today, and again once the assistant runs alongside them.
Your tools stay. It works with what you have: Slack, Microsoft Teams, Google Drive, SharePoint, Notion, Confluence, or your own systems.
In Noah Play’s app, the owner asks out loud “how much did I sell today?” and the answer comes from her own records, never from the AI’s guess. Internal answers work the same way: from your documents, with the source linked. See the work
It answers only from your sources and links them, so every answer can be checked. When nothing in your sources answers the question, it says so instead of guessing.
No. It answers each person only from what they already have access to.
It depends on the job, and the quote says it. Our last two client systems took days to build, not months.
The system reads only what the job needs. We use AI providers’ business APIs, which don’t train on your data.
Show us where the answers live today. In 30 minutes we’ll tell you what the assistant would take off your experts, how we’d measure it, and a price range.
Discovery call30 min · Google Meet