glossary term · cross business
AI workflow
Learn what ai workflow means through a plain-language definition, a synthetic business example, practical limits, and links to workflow guides.
Definition
An AI workflow is a sequence of business steps that includes at least one model-based task, such as interpreting a message or preparing a draft. The surrounding steps may follow fixed rules. Calling a process an AI workflow does not mean the model chooses the route, controls permissions, or performs the final action.
Owner example
Synthetic example: A new support message enters a fixed sequence: validate its ID, supply the approved FAQ, request a draft, and save it for a person. The model helps with language while the application fixes the route.
Non-example and limitation
Copying form fields into a sheet with no model step is ordinary automation. A chat answer outside a defined process does not by itself establish an operating workflow with ownership and recovery.
Related terms
Compare an AI agent with agentic AI. Human in the loop describes a person’s review role.
Deeper guide and practical link
Read the automation comparison for the fuller explanation. Use the support drafting playbook to apply the distinction to a bounded task.
Sources and scope
This is an original editorial definition with a synthetic example, not a report of a tested implementation or business result. Suggest a correction.
Change notes
Foundation draft prepared October 20, 2026. No public publication or successful live-tool test is claimed.
Next learning step: AI agent, chatbot, or ordinary automation: which does this task need?