Human Review Is Part of the Architecture

Automation does not remove accountability

AI can help teams retrieve information, organise evidence, prepare drafts, and identify exceptions. In regulated or consequential work, those capabilities need a defined place within a governed process. They do not transfer responsibility for a decision to a system.

The appropriate reviewer, evidence standard, approval authority, and record of decision depend on the use case, the organisation, and the applicable quality and regulatory requirements.

Designing the human review point

ActiveArchitecture™ places accountable human review into the workflow where it adds real value. A useful review surface brings together the source material, the system output, the basis for a recommendation, and a clear route to approve, return, or revise the work.

The design should be simple enough to use under real operating conditions. It should make uncertainty visible, preserve the relevant evidence, and record the decision in a way that fits the organisation's own governance model.

Questions to resolve before deployment

• Which outputs require qualified human review?
• What evidence must be visible before a decision is made?
• Who can approve, return, or escalate the work?
• How will the organisation record the decision and any follow-up?

Interactive Prototype: The Human-in-the-Loop Gate

This prototype illustrates a review point inside a governed workflow. It is a demonstration of interaction design, not a compliance determination.

If you are designing an accountable AI workflow, discuss the review model.