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Zoona AI continuously learns from real customer conversations to keep your knowledge base accurate and up to date. Whenever a conversation is transferred to a human agent and resolved manually, Zoona reviews the resolution and suggests improvements to your knowledge content.
These suggestions help your AI answer better the next time.
Zoona looks at two things:
Based on this, Zoona may suggest:

Q&A suggestions are created when:
Examples
These are treated as quick knowledge add-ons.

Article suggestions are created when:
Zoona may suggest:

All Zoona AI suggestions appear in the Improvements section.
Knowledge base → Knowledge improvements
Here, you’ll see:
Each suggestion is linked to the conversation it was created from.
The following roles can review and manage knowledge improvements:
For each Q&A suggestion, you can:
Once approved, Zoona can immediately start using it to answer customers.

Managing article suggestions
For article suggestions, you can:
Publishing makes the article live and available for Zoona AI responses.

Zoona AI improvements help you:
Your support team answers once — Zoona remembers it forever.
This ensures your AI and knowledge base improve continuously, with full control in your hands.
Zoona AI Knowledge Improvements make sure your support content grows automatically with every human-handled conversation. Instead of manually updating your knowledge base, Zoona turns real resolutions into meaningful suggestions you can review and control.
Whether it’s a quick Q&A or a detailed article update, you decide what gets approved and published. Over time, this helps Zoona resolve more conversations on its own, reduces repeat questions, and keeps your knowledge base accurate without extra effort.
In short, your team solves problems once and Zoona ensures the same questions don’t come back again.
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