Decomposition AI agent

  • Release version: Australia
  • Updated August 14, 2026
  • 1 minute to read

    • 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 1. Configuration
    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
    Scripts
    Create record
    Get actionable tables from skill config
    Get Fields from Table
    Save activity notes
    Generative AI skill
    Step Decomposer
    Agent roles (ACLs) sn_uxc_gen_ai.platform_ai_decomposition_agent
    Data access roles 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