Designing Human Review Gates
A framework for placing review where it changes an outcome instead of everywhere it feels safer.
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A practical way to separate drafting and organizing work from decisions that require accountable human judgment.
Most disagreement about AI in behavioral health and human services comes from treating it as one decision. Separating the work into assist, review, and decide makes the boundaries easier to set and easier to defend.
In most organizations the tools are already present in some form — in a documentation product, an inbox, a scheduling system, or a staff member's browser. The useful question is narrower: for which specific steps of which specific workflow, under what review, with what record of who is accountable.
Framing it that way moves the conversation from a general position on technology to a set of decisions that operational and clinical leaders are already equipped to make.
The scope of use, the required review, the escalation path when the output looks wrong, and the named owner should exist as a short written statement before anything is turned on. It does not need to be a long policy. It needs to be specific enough that a new staff member could read it and know what they are and are not permitted to do.
That statement is also what makes later evaluation possible. Without it, there is no agreed standard against which the workflow can be reviewed.
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A framework for placing review where it changes an outcome instead of everywhere it feels safer.
An interactive walkthrough of a governed AI workflow, from current state to a practical next step.
Engagement
The resource establishes a general framework. A focused consultation can connect it to the actual environment, constraints, authority, and implementation requirements.