Flow execution analysis

  • Release version: Australia
  • Updated July 28, 2026
  • 3 minutes to read
    • Summarize
    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 Flow execution analysis

    Flow execution analysis in ServiceNow Australia release enables customers to analyze flow execution details, identify errors, and receive AI-generated recommendations to resolve issues. This capability helps streamline troubleshooting and improve flow reliability by leveraging generative AI insights.

    Show full answer Show less

    Key Features

    • Flow Execution Summarization: Automatically summarizes flow execution data to provide clear insights into flow performance and problems.
    • Error Identification and Recommendations: Uses the ServiceNow Otto for Creator AI skill to scan executions, detect errors, and suggest potential fixes.
    • Skill Activation: Customers activate the Flow execution analysis skill to unlock these insights and assistance within their environment.
    • AI and Data Considerations: The feature uses AI and machine learning, which may not always produce perfect results; customers should employ human oversight and evaluate outputs critically.

    Important Considerations

    • Availability of AI features depends on region, data center type, and regulatory environment; some capabilities may be restricted in FedRAMP, NSC DOD IL5, Australia IRAP-Protected, regulated markets, or self-hosted environments.
    • Data used for analysis is transferred to centralized ServiceNow environments and may involve third-party cloud providers, with data handling governed by ServiceNow policies.
    • Generative AI skills and agents may be enabled by default for new customers or upon product installation; existing customers upgrading may retain prior configurations.
    • Customers must comply with ServiceNow’s AI Acceptable Use Policy and ensure appropriate testing before relying on AI-generated recommendations, especially in critical domains like healthcare or finance.

    Next Steps for Customers

    • Activate the Flow execution analysis skill within your ServiceNow instance to begin summarizing and analyzing flow executions.
    • Use the AI-powered insights to quickly identify flow errors and obtain actionable recommendations to improve flow performance and reduce downtime.
    • Continuously monitor AI outputs and apply human judgment to ensure accuracy and appropriateness.

    Analyze flow execution details to identify errors and suggest potential fixes.

    Get started

    Important:
    • Not all model providers are available for customers with in-country SKUs, and some AI products/features are currently unavailable for in-country customers. For more information, see the KB1584492 article in the Now Support Knowledge Base. Be sure to check for model provider availability updates in future releases.
    • Some AI products/features are currently unavailable for customers in the FedRAMP, NSC DOD IL5, or Australia IRAP-Protected data centers, self-hosted customers, or in other restricted environments. For more information, see the KB0743854 article in the Now Support Knowledge Base. Be sure to check for availability updates in future releases.
    • Some AI products/features are currently available only for customers in some regions. Be sure to check for availability updates in future releases.
    • Some AI products and skills are not available in Regulated Markets. For more information, see KB2593939: Regulated Markets AI Products/Skills Not Available. Be sure to check for availability updates in future releases.
    Important:
    Some AI products/features are currently unavailable for customers in the FedRAMP, NSC DOD IL5, or Australia IRAP-Protected data centers, self-hosted customers, or in other restricted environments. For more information, see the KB0743854 article in the Now Support Knowledge Base. Be sure to check for availability updates in future releases.
    Important:
    Some generative AI skills, agents, and agentic workflows are turned on by default. The default behavior works as follows:
    New customers
    When you install an AI product, designated generative AI skills, AI agents, or agentic workflows are turned on automatically.
    Existing customers who are upgrading (starting with Zurich Patch 4)
    There is no change to skills, agents, or agentic workflows that are currently enabled and customized.

    An AI asset is turned on if:

    • The AI plugin is installed, but the asset was never turned on.
    • An admin has never adjusted roles for the skill.
    An AI asset is not turned on if:
    • The asset was previously turned on, and then turned off again.
    • An admin has adjusted roles for the asset.
    For more information, see Now Assist skills, agents, and agentic workflows on by default.

    AI limitations

    This application uses artificial intelligence (AI) and machine learning, which are rapidly evolving fields of study that generate predictions based on patterns in data. As a result, this application may not always produce accurate, complete, or appropriate information. Furthermore, there is no guarantee that this application has been fully trained or tested for your use case. To mitigate these issues, it is your responsibility to test and evaluate your use of this application for accuracy, harm, and appropriateness for your use case, employ human oversight of output, and refrain from relying solely on AI-generated outputs for decision-making purposes. This is especially important if you choose to deploy this application in areas with consequential impacts such as healthcare, finance, legal, employment, security, or infrastructure. You agree to abide by ServiceNow’s AI Acceptable Use Policy, which may be updated by ServiceNow.

    Data processing

    This application requires data to be transferred from ServiceNow customers' individual instances to a centralized ServiceNow environment, which may be located in a different data center region from the one where your instance is, and potentially to a third-party cloud provider, such as Microsoft Azure. This data is handled per ServiceNow's internal policies and procedures, including our policies available through our CORE Compliance Portal.