Add a team of AI agents on top of your Confluence knowledge — a support agent grounded in your spaces that answers with cited sources and can reach your tools via MCP, asking before it changes anything. AIML.chat indexes your content and answers instantly.
What your team gets
Someone searching Confluence for a policy or runbook gets an instant, cited answer pulled from your own pages rather than scrolling through results. Behind the widget, AIML.chat runs a Support agent grounded in your content and tool-calling agents that act through the Model Context Protocol (MCP), with human write-confirm on anything that changes data. Every answer links to the source page, and the analytics show which questions go unanswered so you know where your wiki has gaps.
Add it in three steps
- 1Create a website in AIML.chat and index your Confluence content — point the crawler at your published/space URL, or connect an MCP source where your pages are exposed.
- 2Surface the assistant where your team works: embed the widget on an internal portal or landing page you control, or use Confluence's HTML macro on a page where your admin allows it.
- 3Share the link. The assistant answers from your Confluence content, and stays current as you re-crawl.
Confluence Cloud restricts site-wide script injection, so the most reliable pattern is to index your spaces and surface the assistant on a portal page or internal site you control — your team still gets cited answers grounded in the wiki. As content changes, a re-crawl keeps answers accurate. For similar tools, see the Notion and Outline guides.
Can I embed the widget directly in Confluence?+
Confluence Cloud limits script injection. The reliable pattern is to index your spaces and surface the assistant on a portal or internal page you control.
Does it use my Confluence content?+
Yes. AIML.chat indexes your spaces and answers from them with cited sources.
Is there a free plan?+
Yes — 100 messages a month and one website on the free tier. See pricing for higher limits.