Post incident review AI agent

  • Release version: Australia
  • Updated August 14, 2026
  • 1 minute to read
  • This AI agent generates a post-incident review report for the user to review and revise after a major incident report.

    Workflow

    A post-incident review (PIR) report is a comprehensive document created after a major incident or disruption has been resolved. Its purpose is to analyze what happened, understand the root causes, and assess the impact of the incident, while also providing actionable recommendations for preventing future occurrences. The report should contain 4 sections: Executive Summary section, Customer / Service Impact section, Detailed Technical Summary section, and Action items & Prevention section.
    1. Collect the details about the major incident, including short description, description, assignment group, assigned to, category, subcategory, service, configuration item, resolution notes, business impact, and activities.
    2. Collect child incidents and related records.
    3. Generate a post-incident review report with four sections.
    4. Collect feedback on the report from the user.
    5. Update the incident record.
    6. Acknowledge the result and conclude the conversation.
    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
    Fetch incident details
    Get child incident details
    Get related records
    Update post incident summary to major incident
    Agent roles (ACLs) itil
    Data access roles itil, major_incident_manager, snc_required_script_writer_permission
    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

    Enable the AI agent for the ServiceNow Otto panel.

    Used in agentic workflows

    Post incident review report

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