Where should human review happen in an AI workflow?

It should happen at explicit decision points where uncertainty, exceptions or consequences make accountable judgment valuable.

Does every AI output need approval?

Not always. The review level should reflect defined risk, confidence, policy and validation conditions.

What should a reviewer see?

The original input, proposed output, supporting evidence, validation status, reason for review and the exact decision required.

Where Human Review Belongs in an AI-Enabled Workflow

Human-in-the-loop is not a final approval button

A person cannot provide meaningful oversight if the system hides the source, reasoning and changes behind an output. Review must be designed around a specific decision and the evidence required to make it.

The workflow should also explain why a case reached review: a hard rule failed, sources conflict, confidence is low or the decision carries elevated risk.

Use different review paths for different risk

Not every output needs the same level of scrutiny. Review can be routed according to explicit conditions.

Validated routine work can proceed without individual approval when policy allows.
Low-confidence or conflicting cases can enter an exception queue.
High-impact decisions can require a named role or second approval.
New categories or unfamiliar situations can be escalated for policy decisions.
Reviewer corrections can be captured for future workflow improvement.

Design the reviewer’s experience

A reviewer should not have to reconstruct the entire workflow. Show the original input, the proposed result, supporting sources, validation status and the available decisions together.

The interface should support approval, correction, rejection and escalation while preserving who decided, when and why.

Improve the system without removing accountability

Patterns in corrections can reveal missing rules, confusing interfaces or weak source information. The workflow should learn operationally from those patterns while leaving risk-bearing decisions with accountable owners.