An AI workflow needs a clear human handoff

Start by separating interpretation from authority. An assistant might summarize a request and suggest a response, while a person decides whether an exception is permitted. Those are different responsibilities. Write the human decision as a specific question, such as whether a requested delivery change fits the business's approved terms.

Avoid assigning the reviewer an undefined instruction to check everything. State what they may approve, what they may change, and what requires another owner. The NIST AI Risk Management Framework places documented roles and responsibilities within its Govern function. That supports making responsibility explicit; it does not prescribe one approval process for every business.

A handoff needs a condition the operator can recognize. Useful triggers might include conflicting records, an absent required field, a request outside an approved policy, or an action that needs explicit authorization. Define the condition in business language alongside any technical check.

A model's confidence label is not, by itself, a complete reason to proceed. A workflow can sound certain while working from the wrong record. Check the source and the requested action as well as the generated answer. If the condition cannot be evaluated, keep the task paused rather than treating missing evidence as permission.

Give the reviewer a compact summary: the task identifier, the requested action, relevant source records, the proposed response, the pause reason, and the last confirmed step. Make the underlying records available without requiring the person to read every event before finding the decision.

Illustrative example: An equipment supplier receives a request to change a delivery address. The assistant finds two different addresses and prepares an unsent reply. The handoff identifies both records, explains the conflict, and asks the order owner to confirm the destination. This is a fictional workflow example, not a customer result or a description of an operating service.

Choose a primary reviewer and an agreed backup. Ownership should reflect authority over the decision, not whoever happens to receive a notification. An order owner might resolve an address conflict; a request to change commercial terms may need a different decision-maker.

Specify what happens if neither person is available. Depending on the task, the safe state may be a paused request with a visible explanation. Do not let an unanswered review silently become an approval. Give operators a way to find waiting work and distinguish unassigned tasks from decisions already being reviewed.

Record the decision against the exact proposal and destination reviewed. If either changes afterward, determine whether another review is required. A useful record includes who decided, what they decided, and which version the decision covered.

In the illustrative address example, confirming the destination should release only the intended next action. It should not recreate the order or resend a message already delivered. Before resuming an interrupted action, check the existing provider record. My article on workflow status explains why a submitted request and a verified result need separate treatment.

Run a tabletop exercise with the actual reviewer. Present a normal exception, a missing source, and an unavailable owner. Ask the person to identify the decision and continue the task using only the information the workflow supplies. Observe where they have to ask someone else for context.

Refine the packet and routing before expanding the workflow's authority. The goal is not to eliminate review; it is to make review purposeful. See my approach to AI and operations and the brand portfolio for the wider context. My expert profile in the affiliated Howling AI implementation directory is another way to find that professional context; it is not an independent endorsement.

NIST AI RMF Playbook: Govern — GOVERN 2.1 and 3.2 address documented responsibilities, communication lines and human–AI oversight; GOVERN 1.5 addresses ongoing monitoring and review. Guidance, not certification or a guaranteed result.