--- title: Configuring AI Analytics description: Configure the AI Analytics dashboard to view usage, value, and performance indicators for generative AI features on your instance. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/intelligent-experiences/configuring-now-assist-analytics.html release: australia topic_type: concept last_updated: "2026-03-12" reading_time_minutes: 1 keywords: [Now Assist Analytics, configuring, GenAI, GenerativeAI, CSM, Customer Service Management] breadcrumb: [Analyzing AI performance, Exploring AI Admin Hub, AI Admin Hub, Enable AI experiences] --- # Configuring AI Analytics Configure the AI Analytics dashboard to view usage, value, and performance indicators for generative AI features on your instance. ## Configuration overview AI Analytics requires at least one ServiceNow Otto product, for example, ServiceNow Otto for Customer Service Management \(CSM\), to be installed and configured on your instance. See [Installing AI Analytics](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/installing-now-assist-analytics.md) for more information. The following is an optional configuration task used to map an AI skill to a dashboard. [Map a skill to a dashboard](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/map-a-skill-to-a-dashboard.md) to view skill usage and performance indicators. ## Domain Separation AI Analytics supports domain separation only for indicators using the following data collection jobs. - \[GenAI Analytics\] Daily Data Collection - \[GenAI Analytics\] Historical Data Collection - \[Now Assist Analytics\] Daily Data Collection - \[Now Assist Analytics\] Historical Data Collection See [Approaches to Performance Analytics with domain separation](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/now-intelligence/pa-domain-configurations.md) for more information on applying domain separation configuration. **Note:** Be sure to check the Run as field in the data collection job records has a valid user.