Artificial intelligence workflow automation adds model-driven interpretation or action to a defined operational process. It can handle documents and other unstructured inputs while conventional software maintains state, permissions and deterministic business rules.
Useful automation targets a recurring bottleneck and defines what the model may not decide. The workflow needs measurable success criteria, exception paths and monitoring so efficiency does not come from hiding errors or transferring unsafe authority.
