Designing for AI-Assisted Workflows
A practical way to design workflows where people can guide, inspect, and correct AI output.
Start with the actual job
AI features are easiest to judge inside a real workflow. Map the task first: the inputs, decisions, outputs, and points where a person needs confidence.
Then ask which steps benefit from assistance. A useful system may draft, classify, or organize, but the interface still needs to show the source material and the resulting changes.
Keep review close to action
A review screen at the end is often too late. Put small checkpoints beside consequential actions so people can correct course while context is fresh.
- Show the proposed action.
- Make the source and assumptions visible.
- Let people revise or approve the result.
This approach keeps the workflow understandable even as more of it becomes automated.