Exploring Flow generation with images

  • Rversion finale: Australia
  • Mis à jour 12 mars 2026
  • 3 minutes de lecture

    • Create a flow or a subflow from an image by using Now Assist. Capture the detailed process in an image and attach the image to Workflow Studio. Now Assist generates a preview of the flow that you can modify and regenerate.

    Activation

    The skill Flow generation with images is installed with the Now Assist for Creator (sn_now_creator) application. You can install this application from the ServiceNow Store website.

    Benefits

    Enable flow generation with images to gain these benefits.
    • Build a multi-step flow or subflow from an image in Workflow Studio. Supported triggers and actions are configured with appropriate data pill values.
    • Use standard flow design patterns.

    Supported LLMs

    You can use Azure OpenAI, Google Gemini, or Anthropic Claude on AWS as the AI model provider for Now Assist skills and AI agents. Use the Configuration Controls in AI Control Tower to define which options are available, then set the skill-level preferences in the Now Assist Admin console. For more information, see Large language models on the ServiceNow AI Platform®.

    Supported trigger types

    Flow generation supports a limited number of trigger types. You can use text directions to specify these trigger types.
    • Scheduled triggers
    • Record triggers
      • Created
      • Created or Updated
      • Updated
    • Service Level Agreements triggers
    • Inbound email triggers
    • Service Catalog triggers

    General guidelines

    Follow these general guidelines when writing Now Assist directions.
    Always describe the trigger first
    Describe the flow trigger and its data conditions first. After the trigger, describe the actions and flow logic in the same order that you want them to be in the flow.
    Avoid spelling errors
    Avoid misspelling the names of actions, flow logic, or tables. Consider using hash tags to avoid making mistakes with table names.
    Be precise and descriptive in your request
    Make sure that your request is precise and descriptive. Describe the flow trigger, record data, actions, and flow logic in as much detail as you can. If you attach an image, make sure to attach a clear, high quality image of the process.
    Be succinct and direct in your request
    Start by specifying whether you want to generate a flow or a subflow. For example, use the phrase, "Create a flow that" to generate a flow. Describe each step the flow in order.
    Refer to actions, flow logic, and tables by name
    Use action, flow logic, and table names as part of your directions. The closer your directions are to the actual names, the easier it is for the LLM to recognize them. For example, use the text for each or do the following in parallel to refer to those specific flow logic options. For table names, consider using hash tags.
    Review the generated flow outline and input values
    Review each action, flow logic, and subflow in the generated flow outline. Review the generated inputs values to confirm that they contain relevant data references.
    Use hash tags to refer to data in a specific table
    Use a hash tag to select a specific table name. Hash tags are particularly useful to distinguish between tables that have identical or similar display names such as the User [sys_user] and User [imp_user] tables.
    Use numbers to distinguish the branches of do the following in parallel flow logic
    Add a number to each parallel branch. For example, the directions, "When a P1 incident is created, do the following in parallel: 1. Log its short description and 2. Look up the user assigned to it and send an email," makes it clear that there are two branches.
    Use quotation marks to set exact values
    Enclose exact data values in quotations marks to help the LLM distinguish between operation names and data values. For example, the directions, "Log the value, 'incident reopened'" make it clear that the text "incident reopened" is a data value.