--- sourceDocument: Australia Build workflows sourceDocumentLink: https://www.servicenow.com/docs/r/australia/build-workflows Release : - australia ft:locale : - en-US ft:publication_title : - Australia Build workflows ft:clusterId : - crworkflow bundleId : - crworkflow workflow : - Creator --- # Explore flow execution analysis # Explore flow execution analysis {#ariaid-title1} Release version: Australia Updated June 24, 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 Explore flow execution analysis Explore flow execution analysis enables ServiceNow customers to summarize flow execution details and receive AI-generated recommendations to diagnose and resolve flow errors. This feature is part of the ServiceNow Otto for Creator (snnowcreator) application, which can be installed from the ServiceNow Store. Show full answer Show less ## Key Features * **Flow Execution Summarization:** Summarizes flow execution details even when flow reporting is turned off, helping identify error causes. * **AI-Driven Root Cause Analysis and Fix Suggestions:** Provides insights and potential fixes for flow errors using generative AI models. * **Supported Large Language Models (LLMs):** Leverages various AI providers including Now LLM Service, Azure OpenAI, Google Gemini, and Anthropic Claude. Customers control available models and preferences via AI Control Tower and AI Admin Hub. * **Flow Analysis Access:** Users can generate and view flow execution analyses directly from the Workflow Studio sidebar, with clear indicators for analyzed flows and relevant details like creation dates. * **Flow Reporting Dependency:** When flow reporting is enabled, all flows can be analyzed using execution details. When disabled, only flows in an error state can be analyzed using flow context records. ## Important Considerations * **AI Limitations:** As this feature uses AI and machine learning, outputs may not always be fully accurate or appropriate. Customers must test and evaluate results carefully, especially in high-impact environments such as healthcare, finance, or security. * **Human Oversight Required:** AI-generated suggestions should not be the sole basis for decision-making; human review and judgment remain essential. * **Compliance:** Use of this feature requires adherence to ServiceNow's AI Acceptable Use Policy. ## Practical Benefits By enabling flow execution analysis, ServiceNow customers can quickly pinpoint causes of flow errors and receive actionable recommendations to resolve them. This reduces troubleshooting time and improves flow reliability, enhancing overall automation effectiveness even if detailed flow reporting is not enabled. Summarize flow execution details and get recommendations to resolve errors with generative AI. ## Activation {#explore-flow-execution-analysis__section_rzl_d41_qyb} The flow summarization skill is installed with the ServiceNow Otto for Creator (sn_now_creator) application. You can install this application from the [ServiceNow Store](https://store.servicenow.com/sn_appstore_store.do#!/store/home) website. ## Benefits {#explore-flow-execution-analysis__section_rff_k41_qyb} Enable flow execution analysis to gain these benefits. * Summarize flow execution details when flow reporting is off. * Identify potential causes of flow errors. * Resolve flow errors with suggested fixes. {#explore-flow-execution-analysis__ul_ogl_nq1_qyb} ## Supported LLMs {#explore-flow-execution-analysis__section_wn5_stj_bgc} You can use Now LLM Service, Azure OpenAI, Google Gemini or Anthropic Claude as the AI model provider for all generative AI skills and AI agents. Use the Configuration Controls in [AI Control Tower](https://www.servicenow.com/docs/access?context=ai-model-providers&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US) to define which options are available, then set the skill-level preferences in the [AI Admin Hub console](https://www.servicenow.com/docs/access?context=manage-large-language-models&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US). For more information, see [Large language models on the ServiceNow AI Platform®](https://www.servicenow.com/docs/access?context=exploring-large-language-models&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US). ## Flow analysis {#explore-flow-execution-analysis__section_z1d_5xs_dfc} You can generate and view a flow execution analysis from the Workflow Studio sidebar. From the Analysis sidebar, you can generate an analysis of the flow execution details. A flow that has never been analyzed displays a Analyze flow button. An existing flow analysis lists its creation date. The Root Cause Analysis and Potential Fixes sections contain information and suggestions to potentially improve your flow. ## Flow reporting requirements {#explore-flow-execution-analysis__section_gqc_cjg_rhc} Flow execution analysis requires flow execution details to analyze. When flow reporting is on, you can analyze any flow using information from its flow execution details. When flow reporting is off, you can only analyze flows that are in an error state using information from the flow context record. For more information about setting flow reporting, see [Activate flow reporting](https://www.servicenow.com/docs/0Wvrk7uR2kF3HtdQTZpAVg#enable-flow-reporting "Choose whether to generate execution details for all flows and actions run, just for individual flows and actions, or just when you test a flow or action. Specify the level of detail the execution details contain."). ## AI limitations {#explore-flow-execution-analysis__section_mmg_rh5_dfc} 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](https://www.servicenow.com/ai-acceptable-use-policy.html), which may be updated by ServiceNow.{#explore-flow-execution-analysis__p_kv2_nfg_h1c}