Configure record level analysis in AI Data Explorer
Get more detailed answers based on the content of individual records to provide more meaningful insights.
Before you begin
Roles required: now_assist_explorer_admin or higher
About this task
Record-level analysis provides deeper insights into your data. You can activate it as an administrator. You can activate it as an opt-in, where you specify the tables to which it applies, or as an opt-out, where it applies to all tables you don't specify. Whether activated or not, queries on indicators orthat touch on more than 50 records in a table aren’t supported.
Warning: Take care when activating record-level analysis for a table with record-level security. The LLM applies the record-level security when analyzing records, but it applies only report_view ACLs when the exploration is shared. Therefore, users may see data about records that they are not authorized to access when an exploration is shared with them.
Procedure
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Navigate to All > AI Admin Hub > Skills.
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In the product area pane, select Data and Analytics > Analytics.
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In AI skills for Analytics, search for the analytics exploration skill.
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If the Activate skill button is visible for this skill, press it to activate the skill.
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If the Deactivate skill button is visible for this skill, expand the 3-dot menu [Omitted image "icon-menu.png"] Alt text: Menu icon and select Edit.
[Omitted image "ai-data-expl-edit-skill.png"] Alt text: Tile for the Analytics exploration skill showing the Edit button.
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Under Advanced options, look for Record level analysis.
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Toggle on Enable record analysis.
[Omitted image "ai-data-explr-enable-rla.png"] Alt text: Analytics exploration skill settings with Enable record level analysis turned on.
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In the Enable for field, select whether to create an include list or an exclude list of tables.
Option Description Selected tables Select a list of tables to which record level analysis will apply. Record level analysis will not apply to any other tables. All except selected tables Select a list of tables to which record level analysis won’t apply. Record level analysis will apply to all other tables. -
In the Supported tables or Excluded tables field, select which tables to include or exclude, respectively.
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Select Save and continue.
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Finish configuring the skill as described in Activate AI Data Explorer skills, or exit if the skill is already activated and you don’t want to make further changes.
Simple request with and without record level analytics
You don’t have record level analytics enabled, and you open an exploration and ask for all open incidents. You’re told "There are currently 40 open incidents. This reflects all incidents that remain unresolved at this time."
[Omitted image "ai-data-expl-response-wo-rla.png"] Alt text: Response in an exploration without record level analytics.
Now you enable record level analytics on the instance. You choose an opt-in approach and specify Incident [incident] as the only table included in record level analytics.
[Omitted image "ai-data-expl-activating-rla.png"] Alt text: Activating record level analytics for the Incident table.
Finally, you ask the same question again in an exploration, asking for all open incidents. Now the response includes details about the differences between open incident records. You’re told "There are 40 open incidents currently. Among these, several are marked as 1 - Critical priority, including issues such as inability to launch VPN clients, rain leaking on the main DNS server, and multiple SAP application outages. The most common categories for open incidents are inquiry / help, software, and hardware, with critical incidents distributed across all three."
[Omitted image "ai-data-expl-response-with-rla.png"] Alt text: Response in an exploration with record level analytics.
Parent Topic:Configure AI Data Explorer
---
title: Configure record level analysis in AI Data Explorer
description: Get more detailed answers based on the content of individual records to provide more meaningful insights.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/australia/now-intelligence/record-level-analysis.html
release: australia
topic_type: task
last_updated: "2026-09-10"
reading_time_minutes: 2
breadcrumb: [Configure, AI Data Explorer, ServiceNow Otto for Platform Analytics, Platform Analytics]
---
# Configure record level analysis in AI Data Explorer
Get more detailed answers based on the content of individual records to provide more meaningful insights.
## Before you begin
Roles required: now\_assist\_explorer\_admin or higher
## About this task
Record-level analysis provides deeper insights into your data. You can activate it as an administrator. You can activate it as an opt-in, where you specify the tables to which it applies, or as an opt-out, where it applies to all tables you don't specify. Whether activated or not, queries on indicators orthat touch on more than 50 records in a table aren’t supported.
**Warning:** Take care when activating record-level analysis for a table with record-level security. The LLM applies the record-level security when analyzing records, but it applies only report\_view ACLs when the exploration is shared. Therefore, users may see data about records that they are not authorized to access when an exploration is shared with them.
## Procedure
1. Navigate to **All** > **AI Admin Hub** > **Skills**.
2. In the product area pane, select **Data and Analytics** > **Analytics**.
3. In AI skills for Analytics, search for the analytics exploration skill.
4. If the **Activate skill** button is visible for this skill, press it to activate the skill.
5. If the **Deactivate skill** button is visible for this skill, expand the 3-dot menu \[Omitted image "icon-menu.png"\] Alt text: Menu icon and select **Edit**.
\[Omitted image "ai-data-expl-edit-skill.png"\] Alt text: Tile for the Analytics exploration skill showing the Edit button.
6. Under Advanced options, look for Record level analysis.
7. Toggle on **Enable record analysis**.
\[Omitted image "ai-data-explr-enable-rla.png"\] Alt text: Analytics exploration skill settings with Enable record level analysis turned on.
8. In the **Enable for** field, select whether to create an include list or an exclude list of tables.
|Option|Description|
|------|-----------|
|**Selected tables**|Select a list of tables to which record level analysis will apply. Record level analysis will not apply to any other tables.|
|**All except selected tables**|Select a list of tables to which record level analysis won’t apply. Record level analysis will apply to all other tables.|
9. In the **Supported tables** or **Excluded tables** field, select which tables to include or exclude, respectively.
10. Select **Save and continue**.
11. Finish configuring the skill as described in [Activate AI Data Explorer skills](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/activate-aide-explorer.md), or exit if the skill is already activated and you don’t want to make further changes.
## Simple request with and without record level analytics
You don’t have record level analytics enabled, and you open an exploration and ask for all open incidents. You’re told "There are currently 40 open incidents. This reflects all incidents that remain unresolved at this time."
\[Omitted image "ai-data-expl-response-wo-rla.png"\] Alt text: Response in an exploration without record level analytics.
Now you enable record level analytics on the instance. You choose an opt-in approach and specify Incident \[incident\] as the only table included in record level analytics.
\[Omitted image "ai-data-expl-activating-rla.png"\] Alt text: Activating record level analytics for the Incident table.
Finally, you ask the same question again in an exploration, asking for all open incidents. Now the response includes details about the differences between open incident records. You’re told "There are 40 open incidents currently. Among these, several are marked as 1 - Critical priority, including issues such as inability to launch VPN clients, rain leaking on the main DNS server, and multiple SAP application outages. The most common categories for open incidents are inquiry / help, software, and hardware, with critical incidents distributed across all three."
\[Omitted image "ai-data-expl-response-with-rla.png"\] Alt text: Response in an exploration with record level analytics.
**Parent Topic:**[Configure AI Data Explorer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/now-intelligence/configure-aide-explorer.md)
| title | Configure record level analysis in AI Data Explorer |
| description | Get more detailed answers based on the content of individual records to provide more meaningful insights. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/australia/now-intelligence/record-level-analysis.html |
| release | australia |
| topic_type | task |
| last_updated | 2026-09-10 |
| reading_time_minutes | 2 |
| breadcrumb | ConfigureAI Data ExplorerServiceNow Otto for Platform AnalyticsPlatform Analytics |