Now Assist For Configuration Management Database Cmdb

Reference information for the Business application candidate agent, including system properties, configuration limits, table names, role requirements, and operational constraints.

View a concise summary of key CI data. You can select the CI on a CI form, in a workspace page, or on any list view. The summary can include discovery data, ownership, and key related items such as open incidents, alerts, problems, upcoming change requests, and security vulnerabilities. Additionally, the summary lists the service instances that the CI is part of.

Use the CMDB Duplicate CI Agent in ServiceNow Otto to automatically identify, analyze, and resolve multiple duplicate CIs using AI based recommendations.

The Create configuration item agentic workflow accepts your natural language request to manually generate a valid CI in the class that you specify.

Work through the process of improving CMDB data accuracy, completeness, and health. The objective is to help users to trust the data that they use for their work.

The Data Model Navigator app provides comprehensive information about CMDB tables, attributes, and relationships with context-aware guidance for specific use cases. While users can view the data, the primary purpose is to generate up-to-date indexed data for use by ServiceNow Otto agents and skills.

ServiceNow Otto can answer deep questions about Personal Computing devices, Server infrastructure, IP Address Management, and Core CMDB tables in the CMDB data model. Search results are pulled from the Data Model Navigator tables, which are indexed to increase performance.

Data governance can be an overwhelming task. The Provide advice on CMDB governance agentic workflow supports data admins and owners by methodically working through the many-faceted process of improving CMDB data accuracy, completeness, and health. The objective is to help users to trust the data that they use for their work.

Reference information for the Impact analysis agentic workflow, including input modes, output schema, supported record types, workflow tools, and constraints.

Use the Impact analysis agentic workflow to identify upstream services and CIs likely to be affected by a proposed change. Invoke the workflow in the ServiceNow Otto panel with a change record to receive a prioritized impact assessment with severity levels and reasoning.

The Impact analysis agentic workflow identifies the upstream services and CIs that are likely to be affected by an incident or by a proposed change. The workflow reasons about propagation likelihood based on CMDB dependency topology and the nature of the change. The workflow returns a structured list with impact levels and the reasoning.

The CMDB ingestion optimizer agentic workflow recommends Discovery patterns, Service Graph Connectors, and specialized ingestion tools to close software data and attribute gaps in the CMDB.

Use the CMDB ingestion optimizer agent from the Software Asset Management advisor dashboard to review and apply ingestion source recommendations for flagged software products or CI classes.

The Search CMDB agentic workflow enables you to search for CIs by specifying any of several attributes of the CIs of interest. The workflow accepts your natural language request, verifies your search goal, and then, depending on the information you provided, generates a keyword search, a single-table search with dot walks, or a multi-table search that involves relationship navigation. The workflow can infer CI relationship data to generate an appropriate query.

The staleness agentic workflow identifies, evaluates, and remediates stale configuration items (CIs) in the CMDB.

Use the CMDB Staleness Agent from the Data Foundations advisor dashboard to review and remediate flagged CIs.

Sometimes you're not sure which integration to use to capture CI data. When you provide ServiceNow Otto with the name of a particular CI class, it can recommend the data sources or Service Graph Connectors and ingestion sources that can best populate CMDB data.

Enable and configure scheduled jobs that support the manage duplicate CIs skill.

Review and configure the settings of the Search CMDB agentic workflow.

Review and configure the settings of the summarize CMDB readiness skill to control its availability and to enable an AI-generated summary of the CMDB success advisor dashboard data.

The CMDB MCP Server exposes CMDB capabilities to external AI clients using the Model Context Protocol (MCP), so those clients can work with your configuration data without direct database access.

The CMDB Model Context Protocol (MCP) Server tools let an AI agent search for and create CIs, and ask questions about the CMDB data model, with example utterances for each tool.

Enable AI agents and other clients to securely access data and perform actions using the Model Context Protocol (MCP).

ServiceNow Otto answers your questions on CI classes and attributes to help you work in CI forms, dashboards, home pages, and other views on the workspace.

ServiceNow Otto answers your questions on CI classes and attributes to help you work in CI forms, dashboards, home pages, and other views on the workspace.

ServiceNow Otto recommends resolutions for duplication tasks by automating the choices that a user would typically make. ServiceNow Otto makes recommendations for the main CI, attribute relationship, and related item values to merge, and duplicate CI actions to perform. The process enhances accuracy and greatly reduces the time and effort needed to address CI duplication.

ServiceNow Otto for CMDB uses the search result classifier skill to analyze your search criteria, identify and apply implicit filters, determine the optimum search method (keyword search or query generation), query Service Graph data, and then display the results. You then have the option to refine the search using natural language in the ServiceNow Otto panel.

View an AI-generated summary of the CMDB success advisor for HAM or CMDB success advisor for Data Foundations dashboard data. The summary highlights the key findings on CMDB data accuracy, completeness, and health, and recommends remediation actions to address the findings.

List of system properties for the agents used by ServiceNow Otto for CMDB agents.

Review and configure the settings of the ServiceNow Otto for CMDB CI summarization skill to restrict the availability of the skill to certain users or conditions.

Review and configure the settings of the Service Graph Connector diagnosis skill.

Configure the ServiceNow Otto for CMDB application so users can benefit from agentic workflows, agents, and skills.

Configure ServiceNow Otto for CMDB.

With the ServiceNow Otto for CMDB application, you can use Agentic AI to search the CMDB, summarize discovery, ownership and related information for a CI, and fix failed SGC import sets. You can also follow step-by-step guidance to help you remediate duplicate CIs, improve CMDB data accuracy, completeness, and health .

Resolve deduplication tasks with support from the ServiceNow Otto Manage duplicate CIs skill. CMDB administrators follow step-by-step guidance to perform remediation, and can preview remediation results before applying a template.

Reference topics provide additional information about the property settings that you use to configure and administer ServiceNow Otto for CMDB.

Get a quick overview of the important information that is related to the ServiceNow Otto for CMDB application.

Users with the cmdb_dedup_admin role can access ServiceNow Otto for CMDBagents.

Use ServiceNow Otto for CMDB skills to view a concise summary of key CI data, to help you to resolve deduplication tasks, and several other processes.

Users with the sn_cmdb_user role can access several ServiceNow Otto for CMDB agentic workflows.

Use ServiceNow Otto for Configuration Management Database (CMDB) to improve the quality of CMDB data, search the CMDB quickly, find and remedy issues with Service Graph Connector import sets, and several other processes.

To reduce debugging and resolution time and effort, the Service Graph Connector diagnosis skill generates summaries of errors and recommendations for resolving processing errors with SGC import sets.