AI Output Acceptance and Escalation Protocol

AI Output Acceptance and Escalation Protocol

Acceptance principle

Fluency is not evidence. An output enters real work only when a named person with the necessary authority, time, source access, and domain competence can verify it against a defined standard.

The NIST Generative AI Profile identifies confabulation, information integrity, privacy, harmful bias, intellectual property, and human overreliance among the risks organizations may need to manage. The risk set must be narrowed to the task.

Review order

The reviewer first identifies the consequence and the evidence boundary. Next, the reviewer checks whether the input was authorized, every consequential claim is supported, calculations reproduce, required elements remain present, uncertainty and dissent are visible, permissions are valid, and the output fits the downstream system.

Review depth should follow consequence. A casual internal brainstorm and a customer commitment cannot share one acceptance rule.

Decision states

An acceptance record uses four states: accept, revise, reject, or escalate. Revision is appropriate when the reviewer can correct a bounded defect without changing the authority or purpose. Rejection applies when the output is unusable or the task is outside the approved scope. Escalation applies when a qualified expert, data owner, legal function, security team, manager, or another accountable role must decide.

Silently repairing an output can hide system failure. Material corrections should be recorded so the pilot measures correction burden and repeated patterns.

High-consequence boundary

AI output should not directly determine employment, legal rights, medical care, safety, financial approval, regulated obligations, or another high-consequence result without the controls and qualified ownership required for that context.

The EEOC's employment-practice guidance makes clear that employment decisions remain subject to federal anti-discrimination law. A human click does not cure a discriminatory process.

Record

The record should preserve the task, system, date, input class, controlling sources, checks performed, material corrections, decision, reviewer, escalation, and downstream destination.