AI Data Explorer implementation checklist
concept australia Updated Mar 25, 2026 3 min read ai-data-explorer-implementation-checklist.md
Complete these steps to enable AI Data Explorer and verify that the semantic layer is configured correctly for your organization.
Use this checklist to verify that AI Data Explorer is properly configured and ready for use in your organization.
Prerequisites and configuration
- Verify that the AI Data Explorer application is installed. For more information, see Install AI Data Explorer.
- Verify that required AI skills are activated.
- Verify that the AI Data Explorer skills are activated. For more information, see Activate AI Data Explorer skills.
- Enable Record Level Analysis in the Analytics Exploration skill to get better insights. For more information, see Configure record level analysis in AI Data Explorer.
- Check the base health of Query Generation using the Query Generation Health page.
- Confirm that AI Search is active.
- Verify that the Semantic Layer is built. Entities and dimensions should not be 0. For more information, see Tables installed.
Testing and validation
- Navigate to AI Data Explorer from the main menu.
- Try a simple question such as "Open incidents" to verify end-to-end functionality.
- Force indicator or table selection with a few questions, such as "What do indicators show us about the number of open incidents for the last 60 days" or "What is the current number of incidents?"
- Verify that tables you want to use are added to the semantic layer and that semantic generation is turned on for them. Task extended tables and some base tables are added by default, but custom tables that are not task-based might have to be added manually.
- To check if a table is already in the semantic layer, navigate to Query generation > Entities. If the table is in the list and marked as active, it is already configured.
- If you want to access data in a protected scope, configure ACLs and Restricted Caller Access (RCA) records to grant access to the scope to AI Data Explorer.
User access
Grant users who need access to AI Data Explorer the now-assist-explorer-user role.
General usage guidelines
- Use short, simple questions for best results.
- Only simple analytical questions are supported. Questions should be answerable with a single chart or single data source.
- AI Data Explorer cannot answer general definition questions or questions requiring comparison across multiple data sources. Break down complex analysis into multiple questions.
- When asking follow-up questions, use words like "these" to ensure that filters are not dropped. For example, "Of these incidents, how many are critical?"
Parent Topic:Configure AI Data Explorer
Related topics
Add a table to the semantic data layer
Enabling access to protected scope applications for AI Data Explorer and Query Generation
Roles, tables, and scheduled jobs included with Query Generation
Keywords AI Data Explorerimplementationsemantic layerquery generation
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--- title: AI Data Explorer implementation checklist description: Complete these steps to enable AI Data Explorer and verify that the semantic layer is configured correctly for your organization. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/now-intelligence/ai-data-explorer-implementation-checklist.html release: australia topic_type: concept last_updated: "2026-03-25" reading_time_minutes: 3 keywords: [AI Data Explorer, implementation, semantic layer, query generation] breadcrumb: [Configure, AI Data Explorer, ServiceNow Otto for Platform Analytics, Platform Analytics] --- # AI Data Explorer implementation checklist Complete these steps to enable AI Data Explorer and verify that the semantic layer is configured correctly for your organization. Use this checklist to verify that AI Data Explorer is properly configured and ready for use in your organization. ## Prerequisites and configuration - Verify that the AI Data Explorer application is installed. For more information, see [Install AI Data Explorer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/install-aide.md). - Verify that required AI skills are activated. - Verify that the AI Data Explorer skills are activated. For more information, see [Activate AI Data Explorer skills](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/activate-aide-explorer.md). - Enable Record Level Analysis in the Analytics Exploration skill to get better insights. For more information, see [Configure record level analysis in AI Data Explorer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/record-level-analysis.md). - Check the base health of Query Generation using the [Query Generation Health page](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/querygen-health-page.md). - Confirm that AI Search is active. - Verify that the Semantic Layer is built. Entities and dimensions should not be 0. For more information, see [Tables installed](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/tables-sched-jobs-query-gen.md). ## Testing and validation 1. Navigate to **AI Data Explorer** from the main menu. 2. Try a simple question such as "Open incidents" to verify end-to-end functionality. 3. Force indicator or table selection with a few questions, such as "What do indicators show us about the number of open incidents for the last 60 days" or "What is the current number of incidents?" 4. Verify that tables you want to use are added to the semantic layer and that semantic generation is turned on for them. Task extended tables and some base tables are added by default, but custom tables that are not task-based might have to be added manually. 5. To check if a table is already in the semantic layer, navigate to **Query generation** > **Entities**. If the table is in the list and marked as active, it is already configured. 6. If you want to access data in a protected scope, configure ACLs and Restricted Caller Access \(RCA\) records to grant access to the scope to AI Data Explorer. ## User access Grant users who need access to AI Data Explorer the **now-assist-explorer-user** role. ## General usage guidelines - Use short, simple questions for best results. - Only simple analytical questions are supported. Questions should be answerable with a single chart or single data source. - AI Data Explorer cannot answer general definition questions or questions requiring comparison across multiple data sources. Break down complex analysis into multiple questions. - When asking follow-up questions, use words like "these" to ensure that filters are not dropped. For example, "Of these incidents, how many are critical?" **Parent Topic:**[Configure AI Data Explorer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/configure-aide-explorer.md) **Related topics** [Add a table to the semantic data layer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/add-table-semantic-layer.md) [Enabling access to protected scope applications for AI Data Explorer and Query Generation](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/enable-aide-secure-scope-apps.md) [Query Generation Health page](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/querygen-health-page.md) [Roles, tables, and scheduled jobs included with Query Generation](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/tables-sched-jobs-query-gen.md)
| title | AI Data Explorer implementation checklist |
| description | Complete these steps to enable AI Data Explorer and verify that the semantic layer is configured correctly for your organization. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/australia/now-intelligence/ai-data-explorer-implementation-checklist.html |
| release | australia |
| topic_type | concept |
| last_updated | 2026-03-25 |
| reading_time_minutes | 3 |
| keywords | AI Data Explorerimplementationsemantic layerquery generation |
| breadcrumb | ConfigureAI Data ExplorerServiceNow Otto for Platform AnalyticsPlatform Analytics |