Exploring Flow recommendations
Summarize
Summary of Exploring Flow Recommendations
The Exploring Flow Recommendations feature in ServiceNow leverages AI to suggest the next components in your workflow based on prior steps taken. This tool enhances workflow efficiency by providing one to five actionable recommendations for the next step, depending on the components already integrated into the flow.
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Key Features
- AI-Generated Suggestions: The system provides recommendations based on the preceding flow component names, ensuring relevance in the context of your workflow.
- Default Visibility: Flow recommendations are displayed by default in Workflow Studio but can be hidden on a flow-by-flow basis through user preferences.
- Recommendation Consistency: Both diagramming and text views of the flow always show recommendations at the last node, offering a seamless editing experience.
- Limitations of AI: The application may not always provide accurate or complete information since it is based on pre-trained models. Users are advised to verify AI outputs and apply human oversight, especially in sensitive areas like healthcare and finance.
Key Outcomes
By using the Exploring Flow Recommendations feature, ServiceNow customers can streamline their workflow creation process, enhance decision-making efficiency, and improve the overall design of their workflows. However, customers should remain aware of the AI's limitations and exercise caution in critical applications to ensure the appropriateness of the recommendations provided.
Select the next component in your flow from a list of AI-generated recommendations. The system generates recommendations based on the current position in the flow and the flow component names listed before.
The model uses the name of the flow components that come before to generate one to five recommendations for the next step of the flow. If there are no recommendations listed, then there are no flow components that meet the required relevance threshold.
The system can only recommend actions, flow logic, and subflows that are available from ServiceNow. Recommendations can’t include user-generated flow components such as custom actions, nor can recommendations include actions from ServiceNow Store spokes.
Generative AI model training
This Generative AI large language model was pre-trained with internal ServiceNow flows to learn flow creation patterns. The goal was to understand what flow components are most relevant for a certain position in a flow given the content before.
Flow preference
By default, Workflow Studio shows flow recommendations as you build a flow. You can hide these recommendations on a flow by flow basis by turning off the Show recommendations flow preference. See User preferences for flows for more information.
Recommendations in diagramming view
Workflow Studio shows recommendations from the flow diagramming view while you're editing a flow. In diagramming view, the last node of the flow always shows a list of recommendations. This experience matches the behavior of the text view, which also always shows a list of recommendations at the end of the flow.
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.