Virtual Agent Topic Recommendations
Identify Virtual Agent conversations to automate and deflect agent tasks
Install Trend
View Install Data
| Date | Install Count | Change |
|---|---|---|
| 2026-10-24 | 0 | - |
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| 2026-04-27 | 1,036 | -1,036 |
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| 2025-02-27 | 919 | +2 |
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| 2025-01-30 | 891 | +3 |
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| 11 days of no change | ||
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| 2025-01-10 | 877 | +7 |
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| 2025-01-02 | 871 | +6 |
| 63 days of no change | ||
| 2024-10-30 | 834 | +37 |
About
Analyze your organization's data to identify pre-built Virtual Agent conversations and custom intents that can automate workflows and deflect agent tasks. Topic Recommendations uses Intent Discovery and the NLU Workbench taxonomy to recommend topics, showing why each recommendation applies to your environment. Add recommended topics to Virtual Agent without requiring NLU to be enabled.
Key Features
- Analyze your data to receive topic and intent recommendations in minutes.
- Review recommendation analysis including agent resolution times, assignment groups, task creation method, and language patterns.
- Use default best-practice report settings, or create and schedule custom reports.
- Add recommended topics to Virtual Agent and intents to NLU models from the recommendation interface.
- Link recommendations to existing topics or hide recommendations from view.