Reviewed and updated October 8, 2026.
Design AI around a mapped workflow and an explicit decision boundary. A system that drafts, classifies or summarizes can help at one step without being authorized to complete the whole process. Specify what happens when its output is wrong, incomplete or outside scope.
Begin with an actual work item. Record the input, the events it passes through, the decisions made and the final accepted outcome. An event log can reveal waiting and repeated transitions, but it rarely explains every reason for a delay. Review the record with the people doing the work.
These responsibilities can share an interface while retaining distinct permissions. A model's ability to produce a tool call is not proof that it should have permission to perform that action.
A hypothetical assistant reads an eligible support request and permitted knowledge articles. It proposes a category and drafts a response with source references. A support specialist checks the answer, account context and relevant policy before sending it.
Refunds, account changes and other consequential actions follow their own approval rules. If the system lacks sufficient evidence, it produces an exception for review instead of inventing an answer. The team records whether the draft was accepted, edited or rejected and why. This is a design example, not a client case.
An edit does not necessarily update a model. Decide whether feedback changes a knowledge source, a prompt, a rule, a training dataset or only a case record. Assign review and release ownership for each change. Evaluate a revised version before using it in production.
Keep sensitive content out of feedback datasets unless there is an approved purpose and handling plan. Record the version of the model, workflow and source material so a later error can be investigated.
For each step, record its input, permitted data, completion condition, authorized actor, likely failure and recovery route. Then specify the evaluation cases and quality checks needed before increasing authority. Include missing data, contradictory evidence, access restrictions and unavailable downstream systems.
Measure total handling, rework and completed outcomes alongside model quality. A high acceptance rate can conceal superficial review or pressure to accept drafts. Ask whether staff can reject assistance without blocking their work.
Use workflow archaeology to review the purpose of existing controls, the staged transition guide to plan cutover and the SOP guide to document operation. The worksheets in these articles are available inline; they do not require a separate download.
Bring the process map and the action you want AI to assist. A review can define permissions, evaluation and the human decision boundary. Explore ALLTIPLY AI automation, or request a project review with the workflow, systems and constraints you need to assess.
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