Adding a human approval button does not automatically make an AI-supported process safe. Reviewers need enough context to judge the output, clear standards for acceptance, and an easy way to reject or escalate it.
Design review around the real consequences of an error and the decisions people are qualified to make.
A practical perspective
Classify actions by consequence
List what the workflow can draft, suggest, update, or send. Identify actions that could affect customer access, money, private information, contractual commitments, or important business records.
Keep low-impact drafting separate from higher-impact actions that require approval or must remain human-owned. The business should set these boundaries based on its obligations and risk.
A practical perspective
Give reviewers useful evidence
Show the source material, relevant context, and any uncertainty with the proposed output. Reviewers should be able to trace important claims rather than approving text solely because it appears confident.
Define a short checklist for accuracy, completeness, policy fit, privacy, and tone. Make it possible to correct the output and record why it was changed.
A practical perspective
Make exceptions and accountability operational
Set thresholds or conditions that route work to a qualified person, such as missing context, conflicting source information, or an unfamiliar request. Ensure this route is staffed and does not leave the customer waiting without an owner.
Review rejected outputs, incidents, and changes to the underlying tools. Pause or narrow the workflow when review capacity or quality falls below the agreed standard.
Put the insight to work
Practical next steps
- 01
List AI-enabled actions
Identify outputs and actions, then rank them by potential customer or business impact.
- 02
Set approval boundaries
Decide which steps require human review and which actions should not be automated.
- 03
Equip the reviewer
Provide source context, a practical checklist, correction tools, and an escalation path.
- 04
Monitor review quality
Track overrides, uncertain cases, incidents, and reviewer workload to adjust the workflow.
Key takeaways
Keep the next decision clear.
- Set review depth according to the consequences of an error.
- Show sources and uncertainty so reviewers can make informed decisions.
- Make escalation staffed, measurable, and owned by people.