AI in SLO Management

---
title: AI in SLO Management
description: AI capabilities in SLO Management help teams adopt service level objectives \(SLOs\) faster and monitor service performance.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/it-operations-management/service-level-objective-management/slo-management-ai.html
release: brazil
product: Service Level Objective Management
classification: service-level-objective-management
topic_type: concept
last_updated: "2026-07-07"
reading_time_minutes: 1
keywords: [ServiceNow Otto, AI Agents, generative AI, agentic AI]
breadcrumb: [Service Level Objective Management, ITOM AIOps, IT Operations Management]
---

# AI in SLO Management

AI capabilities in SLO Management help teams adopt service level objectives \(SLOs\) faster and monitor service performance.

**Note:** Depending on your license, you will have access to certain application features, generative AI skills, agentic workflows, and AI agents. For more information, see [ServiceNow product tiers](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/ai-native-sku-overview.md).

<table id="table_slo-management-ai"><thead><tr><th>

AI feature

</th><th>

Description

</th><th>

Use case

</th><th>

Resources

</th></tr></thead><tbody><tr><td>

SLO generation with the SLO creator agent

</td><td>

Analyzes CI data and automatically generates baseline SLOs for eligible configuration items \(CIs\). You can review, update, and manage the generated SLOs and adjust the agent settings.

</td><td>

An operator needs baseline SLOs for new or existing CIs without manually defining thresholds.

</td><td>

-   [Generating service level objectives](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/service-level-objective-management/now-assist-itom-slo-generation.md)
-   [Manage SLO creator agent settings](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/service-level-objective-management/now-assist-itom-manage-generated-slos.md)
-   [View generated SLOs](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/service-level-objective-management/now-assist-itom-view-slos.md)
-   [SLO creator agent system properties](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/service-level-objective-management/slo-creator-agent-system-properties.md)

</td></tr><tr><td>

Conversational analysis and SLO creation with the ITOM MCP Server

</td><td>

Connects an MCP client application, such as Claude or Moveworks, to your ServiceNow ITOM environment. You can have natural language conversations about CI reliability, topology, and incident impact, and create SLOs through the MCP client.

</td><td>

An operator wants to investigate CI reliability and topology, assess incident impact, or create SLOs through an MCP client.

</td><td>

-   [Using the ITOM MCP Server Console to perform ITOM tasks](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/use-itom-mcp-server.md)
-   [Activate the ITOM MCP Server Console](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/activate-itom-mcp-server.md)
-   [Review CI reliability with an MCP Client](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/review-ci-reliability-itom-mcp-server.md)

</td></tr></tbody>
</table>