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| Enabled for | Public preview | Early access | General availability |
|---|---|---|---|
| Admins, makers, marketers, or analysts, automatically | 
Dec 11, 2024 |
- | - |
Business value
Instead of creating complex rules-based processes, work with AI to add intelligent activity orchestration to your cloud flow. You create intent-based generative actions where the large language model (LLM) reviews all available resources and dynamically chooses the best actions and sequence to reach your goal. This approach offers more dynamic automation and saves you time.
Feature details
Generative actions use generative AI to reason over unstructured content. They determine the steps and sequences needed to achieve a process outcome, based on instructions and parameters you provide in natural language.
Creating a generative action in cloud flows involves the following steps:
- Describe your process objective in natural language. The AI uses your description to create an automation plan.
- Refine the automation plan that the large language model (LLM) generates. Adjust the inputs, outputs, and variables.
- Add reference sources and guidelines in natural language. These sources and guidelines guide the LLM as it runs the flow.
- Validate the intelligent action by reviewing how it achieves the business objective.
- Review production run history, analytics, and individual flow run details to make sure your process performs as expected.
Generative actions are flexible because they easily incorporate both structured and unstructured data. This flexibility helps when updating information resources. Their reasoning abilities make generative actions uniquely beneficial for building and maintaining complex process flows that handle conditions, exception management, and process loops.
Geographic areas
Visit the Explore Feature Geography report for Microsoft Azure areas where this feature is planned or available.
Language availability
Visit the Explore Feature Language report for information on this feature's availability.