A team can add an AI layer without relocating workflow management by running a prompt as an action inside the existing flow, using its generated flow variables in downstream actions, and placing human review after the prompt action. This establishes an integration path, but it does not prove that prompt data remains inside the core environment; that point requires a separate check.
Integration checks
The documented pattern has three connected elements:
| Check | What the team should verify |
|---|---|
| Prompt placement | The prompt runs as an action within the existing flow rather than in a disconnected process. |
| Output handoff | Running the prompt action generates flow variables that the intended downstream action can use. |
| Human review | A human review step can be placed after the prompt action. |
To test the integration, the team should first identify the downstream action that needs the AI output. It can then run the prompt action and confirm that the expected flow variables are generated and available to that step. Finally, the team should test the review stage and determine how its result should connect to the downstream action.
What the team must still confirm
The cited guidance does not establish that prompt data stays within the team’s core tools. Before relying on the setup, the team must confirm what data is sent, where the output goes, and which access, retention, and security controls apply.
It must also verify that its particular tools support the required flow, action, and variable connections. The review process needs a defined answer to several operational questions: who reviews the output, what changes they may make, how rejection is handled, and what downstream action occurs after review. Error handling, monitoring, internal privacy requirements, and any cost or contract terms also require confirmation in the team’s own environment.
The minimum evidence is therefore a traceable path from the prompt action to a flow variable, then to human review, and onward to the intended downstream action. A demonstration of generated text alone does not verify that the AI layer works inside the existing toolchain.