AI Auto-Tagging

‍All Talkative customers can now utilise AI Auto-Tagging.

This new feature uses AI to automatically label interactions that never reach a human.

These include inquiries handled by a chatbot, plus instances where a customer abandons the conversation before reaching an agent.

This ensures you maintain valuable context for reporting and analysis, even when an agent is not involved in the interaction.

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Streamline interaction tagging with AI 

Talkative’s AI Auto-Tagging feature leverages AI to categorise interactions more efficiently. 

Here’s how it works:

1. AI reviews interactions that did not reach an agent.
2. AI selects the most relevant tag(s) from the tags assigned to that queue. 
3. AI applies the tags to the interaction, making it searchable and reportable.
4. If none of the queue’s tags are applicable, the interaction will remain untagged.

Interactions that are handled by an agent will continue to follow your existing tagging workflow.

By ensuring that every interaction is appropriately tagged, even those that don’t reach a human, you gain access to more comprehensive data insights. 

This can help you identify patterns, refine customer service strategies, and optimise resource allocation.

Getting started 

To enable AI Auto-Tagging, simply navigate to Settings → Channel Management → Auto Assign Tags and toggle the setting on. 

Ensure that each queue has relevant tags assigned, as the AI will only use the tags specific to that queue.

Need more help setting up your auto-tags?

Check out our support article, or get in touch with your Talkative account manager.

Are you a new customer who likes the look of this feature?

Book a demo today to learn more and see Talkative’s AI customer service solutions in action.