AI Analytics
What is AI Analytics?
- Purpose: A conversational, natural-language interface into contact-centre data. Admins can ask a question in plain language and get the answer directly.
- Value: Insights are on demand. Turns every admin and manager into their own analyst — instant answers,zero spreadsheets, zero backlog on the data/CX team.
- Scope: Part of Analytics
- Who can use it: Admins
Key Concepts
An AI-native alternative to fixed dashboards (the “Ask Anything”experience), built where the conversation data already lives turning “conversations are logged” into “insights are on demand.”
Conversations are persistent, pinnable, and context-aware.
In three steps: ask a question in your own words and language, refine it if it's not quite right (add a date range, queue, or user to narrow it down), and pin your most frequently requested reports so they're one click away next time.
AI Analytics response types:
- Text: A plain-language summary
- HTML report: A rich table or chart, rendered in an isolated, sandboxed frame
- Markdown: A formatted document with headings, lists, tables

Quick-start steps
1. Find AI Analytics inside the Analytics menu.
2. Ask your question in natural language, in whichever language you prefer — e.g. “Top contact reasons this week.”
3. Review the generated answer. The tool returns the data, report, or chart directly.
4. Refine the question if the result isn't precise enough (date range, queue, or specific user).
5. Try several use cases of your own for a complete picture.