Problem: ops and HR leads at 20-200 person companies field the same repeated questions all day - where is the PTO policy, how do I expense a flight, which doc has the onboarding checklist. The answers already live in Notion or Confluence, but employees do not search, they ask a human. This drains the time of the smallest internal teams, exactly the people with no engineering support to build a solution.
Named product: Czat for Internal Support is a no-code GPT chatbot builder that sits on top of an existing company wiki. The name signals the single job it does: answer internal support questions in chat.
Solution: connect a Notion workspace or Confluence space, let Czat index the docs, and deploy a pre-trained chatbot that answers employee questions with citations back to the source doc. No prompt engineering, no RAG pipeline to maintain, no Azure deployment headaches that the community threads show developers wrestling with.
MVP: OAuth connector to Notion and Confluence, a document ingestion and embedding step, a hosted chat widget plus a Slack app, and answers that link back to the source page. Keep the first version to read-only Q and A so accuracy stays high and scope stays tight.
Revenue: billed per seat, aimed at the 20-200 employee band. A company with 60 seats at a modest monthly price per seat produces predictable recurring revenue, and the buyer is a single ops or HR lead who can approve a departmental tool without a long procurement cycle.
GTM: sell directly to ops and HR leads through hr-tech channels and communities. Lead with a self-serve trial that connects a wiki in minutes and demonstrates value on their own content. Land with one team, expand across the company as other departments see the Slack bot in use.
Growth loops: every answer the bot posts in Slack is visible to the whole channel, so usage markets the product internally. Citations drive people back to clean up and improve their wiki, which improves answer quality, which increases usage. Per-seat billing means natural expansion as companies grow from 20 toward 200 people.