> For the complete documentation index, see [llms.txt](https://docs.ownchat.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ownchat.app/ai-configuration/ownai-conversation-ai.md).

# OwnAI - Conversation AI

### Overview  

The **Conversation AI** module helps you automate customer interactions using AI-powered intent detection and tagging. It allows you to create custom tagging rules, automatically categorize conversations based on customer messages, and monitor AI performance through detailed analytics.

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### Accessing Conversation AI &#x20;

1. Click the **Settings** icon in the sidebar to access your account settings and configuration options.

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2. Navigate to the **AI Configuration** section.

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3. The AI Configuration section includes the following modules:

* **OwnAI** – Configure and manage AI settings.
* **Usage Logs** – Monitor AI credit consumption and usage activity.
* **Transactions** – Track AI Wallet credit transactions and balance updates.
* **Conversation AI** – Configure AI-powered conversation management and tagging rules.

4. Click **Conversation AI** to access AI-powered messaging and automation features.

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### Managing Auto Tagging &#x20;

Auto Tagging allows the system to automatically assign tags to conversations based on configured rules.

* Enable **Auto Tagging** if you want tags to be applied automatically.
* Disable **Auto Tagging** if you prefer to manage tags manually.<br>

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### Creating a Tagging Rule &#x20;

To create a new tagging rule:

1. Click the **Add Rule** button.

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2. Enter a name in the **Tag Name** field.<br>

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3. In the criteria field, define the conditions that determine when the tag should be applied.<br>

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3. Click **Create Rule** to save and activate the tagging rule.<br>

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### Viewing Tagging Rules &#x20;

All created rules are displayed in the **Tagging Rules** section, where you can review and manage existing tagging configurations.<br>

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### Adding AI Credits &#x20;

If additional AI credits are required, you can add credits directly from the Conversation AI page. Added credits are transferred to your AI Wallet and become available for AI-powered operations.<br>

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### Analytics &#x20;

The Analytics tab provides insights into **Conversation AI** performance and intent detection.<br>

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#### Total Unmatched Conversations &#x20;

The **Total Unmatched** card displays conversations that did not match any configured tagging rule. Reviewing these conversations can help identify opportunities to create new rules or improve existing ones.<br>

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#### Intent Occurrences &#x20;

Click the occurrence count (for example, **19 Occurrences**) to view detailed information about detected intents and their frequency.<br>

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#### Intent Conversion &#x20;

The Intent Conversion metric helps measure how effectively conversations are being classified and handled based on configured rules.<br>

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#### Intent Trends &#x20;

The intent trend chart provides a visual representation of AI performance over time, helping you identify conversation patterns and trends.<br>

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#### Rule Performance Dashboard &#x20;

The **Rule Performance Dashboard** displays detailed metrics and performance data for each tagging rule, allowing you to monitor effectiveness and activity levels.<br>

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### Switching Views &#x20;

You can change how tagging rules are displayed:

* Click the **Card View** icon to display rules in a card-based layout.<br>

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* Click the **Table View** icon to display rules in a structured table format.<br>

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### Example &#x20;

If a customer sends a message asking about pricing, the system analyzes the conversation and identifies it as a pricing-related enquiry. Based on the configured tagging rules, the appropriate tag is automatically applied to the conversation.<br>

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### Notes &#x20;

* Auto Tagging must be enabled for tags to be assigned automatically.
* Rules are applied based on the criteria defined during rule creation.
* Analytics help monitor intent detection accuracy and rule performance.
* Review unmatched conversations regularly to improve tagging coverage and AI performance.