Decomposition AI agent
This AI agent takes resolution steps as input, and then analyzes and breaks down each resolution step into a clear, structured set of smaller, actionable substeps. It then creates records based on user preference. This enables precise execution, improves task clarity, and supports automation and auditability of resolution workflows.
Workflow
The agent retrieve table configuration, decompose the resolution plan into actionable substeps, create the records and to save the summary in the parent record. It takes resolution steps as input. It does not generate resolution steps on its own.
- Retrieve the table action policy XML that defines which tables can be acted on autonomously and which require supervision.
- Retrieve resolution steps from memory.
- Decompose the steps.
- Group actionable steps into autonomous and supervised categories. Proceed automatically with autonomous steps. For supervised steps, wait for user input before executing.
- Finalize the execution set.
- Create the record.
- Save activity notes.
|
Field |
Description |
|---|---|
|
Allow third party to access this AI agent |
When enabled, third-party AI agents can use this agent. This value is off (false) by default. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the External discoverable field. |
|
Allow AI specialists to access this AI agent |
When enabled, AI specialists can use this agent. This value is off (false) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the Specialist enabled field. |
|
Manage long-term memory |
When enabled, all previous user interactions are used as context for the LLM. This value is off (false) by default. This setting is defined by the sn_aia.ltm.enable_long_term_memory system property. For more information, see ServiceNow Otto AI agents reference. |
|
Tools |
Create record Get actionable tables from skill config Get Fields from Table Save activity notes
Step Decomposer |
|
Allowed user roles The specific user roles that can access this AI agent. |
sn_uxc_gen_ai.platform_ai_decomposition_agent |
|
Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. |
sn_uxc_gen_ai.platform_ai_decomposition_agent, sn_hr_core.case_writer |
|
Triggers |
Optional. None defined by default. An admin can specify triggers if desired. For more information, see Add a trigger to an AI agent. |
|
Channels |
Configure an assistant for Virtual Agent or ServiceNow Otto panel using Assistant Designer. |
|
Used in agentic workflows |
Generate resolution plans |
--- title: Decomposition AI agent description: This AI agent takes resolution steps as input, and then analyzes and breaks down each resolution step into a clear, structured set of smaller, actionable substeps. It then creates records based on user preference. This enables precise execution, improves task clarity, and supports automation and auditability of resolution workflows. locale: en-US canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/plat-ai-decomposition-agent-ai-agent.html release: brazil topic_type: reference last_updated: "2026-09-10" reading_time_minutes: 2 breadcrumb: [ServiceNow AI Platform AI agents, ServiceNow AI Platform, AI agents library, AI agents and agentic workflows, Enable AI Experiences] --- # Decomposition AI agent This AI agent takes resolution steps as input, and then analyzes and breaks down each resolution step into a clear, structured set of smaller, actionable substeps. It then creates records based on user preference. This enables precise execution, improves task clarity, and supports automation and auditability of resolution workflows. ## Workflow The agent retrieve table configuration, decompose the resolution plan into actionable substeps, create the records and to save the summary in the parent record. It takes resolution steps as input. It does not generate resolution steps on its own. 1. Retrieve the table action policy XML that defines which tables can be acted on autonomously and which require supervision. 2. Retrieve resolution steps from memory. 3. Decompose the steps. 4. Group actionable steps into autonomous and supervised categories. Proceed automatically with autonomous steps. For supervised steps, wait for user input before executing. 5. Finalize the execution set. 6. Create the record. 7. Save activity notes. <table><thead><tr><th> Field </th><th> Description </th></tr></thead><tbody><tr><td> Allow third party to access this AI agent </td><td> When enabled, third-party AI agents can use this agent. This value is off \(false\) by default. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the External discoverable field. </td></tr><tr><td> Allow AI specialists to access this AI agent </td><td> When enabled, AI specialists can use this agent. This value is off \(false\) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the Specialist enabled field. </td></tr><tr><td> Manage long-term memory </td><td> When enabled, all previous user interactions are used as context for the LLM. This value is off \(false\) by default. This setting is defined by the **sn\_aia.ltm.enable\_long\_term\_memory** system property. For more information, see [ServiceNow Otto AI agents reference](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/na-aia-reference.md). </td></tr><tr><td> Tools </td><td> - **Scripts** Create record Get actionable tables from skill config Get Fields from Table Save activity notes - **Generative AI skill** Step Decomposer </td></tr><tr><td> Allowed user roles The specific user roles that can access this AI agent. </td><td> sn\_uxc\_gen\_ai.platform\_ai\_decomposition\_agent </td></tr><tr><td> Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. </td><td> sn\_uxc\_gen\_ai.platform\_ai\_decomposition\_agent, sn\_hr\_core.case\_writer </td></tr><tr><td> Triggers </td><td> Optional. None defined by default. An admin can specify triggers if desired. For more information, see [Add a trigger to an AI agent](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/add-trigger-aia.md). </td></tr><tr><td> Channels </td><td> Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/conversational-interfaces/configure-now-assist-va.md). </td></tr><tr><td> Used in agentic workflows </td><td> Generate resolution plans </td></tr></tbody> </table>**Parent Topic:**[ServiceNow AI Platform AI agents](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/platform-ai-agents-overview.md)
| title | Decomposition AI agent |
| description | This AI agent takes resolution steps as input, and then analyzes and breaks down each resolution step into a clear, structured set of smaller, actionable substeps. It then creates records based on user preference. This enables precise execution, improves task clarity, and supports automation and auditability of resolution workflows. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/intelligent-experiences/plat-ai-decomposition-agent-ai-agent.html |
| release | brazil |
| topic_type | reference |
| last_updated | 2026-09-10 |
| reading_time_minutes | 2 |
| breadcrumb | ServiceNow AI Platform AI agentsServiceNow AI PlatformAI agents libraryAI agents and agentic workflowsEnable AI Experiences |