---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Error analysis and remediation AI agent

# Error analysis and remediation AI agent {#ariaid-title1}

Release version: Australia  
Updated June 1, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read
Summarize  
![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI  
This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.  

## Summary of Error analysis and remediation AI agent

The Error analysis and remediation AI agent assists ServiceNow admins and operators in investigating and resolving errors within the ServiceNow Error Framework.
It automates the analysis of error codes by identifying root causes, assessing business impact, and executing preconfigured remediation actions to streamline error management processes.
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## Key Features

* **Error Investigation:** Automatically detects relevant error codes from Error Framework pages, summarizes matching errors in concise tables, and provides detailed root cause and impact analysis upon request.
* **Remediation Actions:** Selects and proposes the most appropriate remediation based on error context, allowing users to confirm before execution. If no automated action is available, it provides manual steps and state-management options.
* **Execution and Reporting:** Executes approved remediation actions, delivers results with tracking links, and suggests related follow-up activities to ensure comprehensive error resolution.
* **Access Controls:** Supports configuration of user roles (errorframework.admin, errorframework.operator) and data access roles to secure and control AI agent usage.
* **Configurable Settings:** Options to enable third-party AI agent access, allow AI specialists enhanced configuration capabilities, and manage long-term memory for contextual continuity.
* **Integration and Tools:** Utilizes generative AI skills and scripts such as executeremediationaction and geterrorcodedata, and supports integration into Virtual Agent or ServiceNow Otto panel via Assistant Designer.
* **Workflow Support:** Designed for use in agentic workflows and supports diagnostic workflow patterns to facilitate automated and guided error management.

## Practical Benefits for ServiceNow Customers

* Enables faster and more accurate identification and analysis of errors in your ServiceNow environment, reducing downtime and operational impact.
* Automates remediation steps to minimize manual intervention, improving efficiency and reducing human error.
* Provides clear, actionable insights and remediation proposals that can be reviewed and approved by authorized users, enhancing governance and control.
* Supports customization of access and configuration settings to align with organizational security policies and operational roles.
* Facilitates integration with existing ServiceNow channels and workflows, enabling seamless adoption within your IT operations.  
This AI agent is helps admins and operators investigate Error Framework error codes, analyze root causes, and execute preconfigured remediation actions.

## Workflow {#plat-err-error-analysis-and-remediation-agent-ai-agent__zsmdlwierhjt}

The agent helps admins and operators investigate and remediate errors within the ServiceNow Error Framework.

1. Determine whether the user's request is about investigating an error or remediating one. If the user is viewing an Error Framework page, automatically identify the relevant error code for context.
2. For investigation requests, retrieve and summarize matching errors in a compact table, or provide a deeper analysis of a specific error code, including root cause and business impact, when the user asks for it.
3. For remediation requests, gather full context on the error and select the specific action that best matches the root cause, or provide manual steps and state-management options if no automated action is available.
4. Present the proposed action to the user, including the error code, action, reason, and scope, and confirm before proceeding.
5. Execute the approved action, report the results and a tracking link, and suggest any related follow-up actions.
6. If a request falls outside the Error Framework, or asks for an unsupported destructive operation, let the user know and offer to help with a supported task instead.
{#plat-err-error-analysis-and-remediation-agent-ai-agent__ol_plat_err_error_analysis_and_remediation}  
{#plat-err-error-analysis-and-remediation-agent-ai-agent__zsmdlwierhjt__entry__2}

| 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](https://www.servicenow.com/docs/MUqSU8rHp3ao~q3QEWgHkA "Find more information about user roles, tables, and the different properties that are installed in ServiceNow Otto AI agents."). |
| Tools | Generative AI skill :   ai_insights_skill Scripts :   execute_remediation_action :   get_errors_by_user_query :   get_errors_for_error_code :   get_error_code_data :   resolve_ef_page_context Knowledge Graph :   error_framework_schema |
| Allowed user roles The specific user roles that can access this AI agent. | error_framework.admin, error_framework.operator |
| Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. | error_framework.admin, error_framework.operator |
| Triggers | Optional. None defined by default. An admin can specify triggers if desired. For more information, see [Add a trigger to an AI agent](https://www.servicenow.com/docs/NXqRJBQV_Vw00FEzklcAJw "In the guided setup for an AI agent, add triggers to run the AI agent automatically when certain conditions are met."). |
| Channels | Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://www.servicenow.com/docs/access?context=configure-now-assist-va&version=australia&pubname=australia-conversational-interfaces&ft:locale=en-US). |
| Used in agentic workflows | * Error Analysis and Remediation Workflow * Pattern Diagnostic Workflow |
[Table 1. Configuration]