The AI Guide generates rich intent data with every conversation. Syncing that data to Confluence means your Knowledge Management team can see user research patterns, knowledge gaps, and escalation signals where they already work.
Train your AI on your docs — then sync every conversation to your stack.
AI question categories (feature, pricing, integration, troubleshooting) flow to Confluence as intent signals — your Knowledge Management team sees what each user is researching without analyzing conversation logs manually.
Track answer quality, escalation rate, and user satisfaction ratings in Confluence — understanding how well the AI Guide is performing and where its knowledge base needs improvement.
Questions the AI Guide couldn't answer become data in Confluence — helping you prioritize documentation improvements that will reduce future support volume and improve AI accuracy.
Set up your AI Guide in Guidez Settings → AI Assistant. Connect your knowledge base, set the identity and appearance, and publish the widget to your product.
Link your tool in Guidez Settings → Integrations. AI Guide conversation events will flow when users interact with the widget.
When a user asks the AI Guide a question, Guidez processes it, responds using your knowledge base, and fires events for the question, response, and outcome.
ai_question_asked, answer_rated, and escalation events flow to your connected tool — revealing user intent, knowledge gaps, and support needs in real time.
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