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Engineering|Practical Answer|November 5, 2026

How to Add Human Approval to an AI Agent Workflow

Bind the review to the action that will run. Define what happens when the proposal changes, a worker resumes or the result is uncertain.

João Dezembro · 3 min

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Approve the action that will run

Add human approval by saving the proposed action, pausing before execution and recording a qualified person's decision against that specific revision. The worker must check that the action still matches the approval and current permissions before acting. A changed recipient or payload needs a new decision. An uncertain execution result needs checking before another attempt.

Put the pause before the consequence

An agent drafts a customer message and can send it. The review needs to happen before the message leaves, while someone can still correct the recipient, promise or supporting information. Reviewing a copy afterward cannot prevent that disclosure.

Choose the checkpoint from the action's consequences and what the reviewer can realistically judge. A disposable draft has a different control requirement from a message sent to a customer or a change to their account.

This is a proposed design to test for one workflow, rather than a universal state model.

Define the permitted next action

SituationRequired behavior
Proposal readySave the target, recipient, payload and relevant evidence with a revision. Show what will happen, who may decide and what remains uncertain.
Waiting for reviewPermit correction, rejection or escalation. Keep an owner and an agreed interim state. An expired deadline must not silently approve the action.
Approved or editedBind the decision to the final reviewed action. Revalidate meaningful edits; changed fields must not inherit approval for the previous revision.
Worker resumesCheck current permission, approval and the execution record before acting. Preserve the operation identity under the actual service contract.
Result uncertainEstablish what happened remotely before a potentially duplicate attempt. Keep unresolved effects visible and assigned for reconciliation.

Change the recipient after approval

Imagine a person approves a message to one customer's contact. Before the worker sends it, the recipient changes. The execution check should stop that revised action and return it to review. The earlier decision covered a different destination.

Test a repeated resume request too, checking that it does not create a second send. Then simulate a timeout after the sending service accepts the message. The workflow should preserve the uncertain outcome and check the service's evidence and retry contract, rather than starting a fresh send. These are hypothetical acceptance cases, not results from a deployed agent.

A pause does not complete the control

A framework's ability to pause and resume does not establish your application's reviewer authority, action matching or retry behavior. Verify those in the implementation and test the external result, not just whether the worker continued.

The reviewer also needs usable evidence and time to judge it. Measure missed errors, unnecessary rejection and unresolved work alongside approval counts. This design does not guarantee exactly one external effect or establish that every consequential use is suitable for an agent.

Choose one action to control

Identify the action, reviewer and consequence first. Gridfused can help implement the approval boundary and test changes, resumed work and uncertain results.

João Dezembro

João Dezembro

Founder & Managing Director

Founder of Gridfused Technologies. Software architect and engineering leader focused on building reliable products, systems, and AI-enabled operations.

November 5, 2026

3 min

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