Configure ServiceNow Otto for Smart Assessment Engine \(SAE\)

concept australia Updated Sep 10, 2026 2 min read configure-servicenow-otto-for-smart-assessment-engine.md
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If you have the admin role, you can configure ServiceNow Otto for SAE so that your agents can use the generative AI skills.

ServiceNow Otto for SAE Configuration overview

Use the AI Admin Hub console to configure ServiceNow Otto for SAE. This console contains everything that you must install plugins and configure the generative AI skills. For additional information, see Overview tab in AI Admin Hub.

You can access the Smart Assessment Response Assist skill from the AI Admin Hub console.

Note: Now LLM Service is the sole provider for this ServiceNow Otto® application's skills.

For earlier versions, go to Application Manager to upgrade it to a later version.

For information about configuring generative AI skills and prompts, see Configuring plugins and skills in AI Admin Hub.

After you turn on the Smart Assessment Response Assist skill, you must also enable AI responses on each template category that you want the skill to run on. To enable AI responses for a category and to configure the documents that the skill considers by default, see Create an assessment template category.

By default, the skill draws on:

  • Previously completed smart assessments and classic assessments that share the same scope item as the current assessment.
  • Documents that are attached directly to the assessment instance.

To customize these defaults for a template category, implement the Smart Assessment Response Assist scripted extension point. For details, see Customizing AI Response Assist sources.

Using guided setup to implement ServiceNow Otto for SAE

You can install the ServiceNow Otto for SAE plugin (com.sn_smart_ai_assist). This store app has the following dependencies:

  • ServiceNow AI Platform
  • Governance, Risk, and Compliance

For information about the installation process, see Install AI plugins in AI Admin Hub.

Note: For more information on Retrieval Augmented Generation (RAG) and Retention policies, see Indexed sources in AI Search and User data usage policy.

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