Manufacturing AI Assistance and Authority Map

The basic rule

AI can help prepare work. It does not gain authority because its output sounds confident or because it is connected to a company system.

For each workflow, name both the assistance and the person who retains the decision.

Good assistance categories

Retrieve

Find potentially relevant information from approved sources while preserving source identity, permissions and revision status.

Compare

Highlight differences between supplied documents, records or revisions for a qualified person to evaluate.

Organize

Structure incoming information, list omissions, classify routine content and prepare a review queue.

Draft

Prepare a summary, clarification request, work note or response that a named person verifies before use.

Decisions that remain with people

Commercial authority

Authorized leaders retain pricing, margin, terms, delivery commitments, bid decisions and contractual acceptance.

Engineering authority

Qualified engineering roles retain design approval, technical interpretation, process approval and release of manufacturing instructions.

Quality authority

Authorized quality roles retain inspection acceptance, nonconformance disposition, corrective-action approval and product release.

Operational authority

Process owners retain schedule priorities, resource assignments, material movement, supplier decisions and production changes according to company policy.

Technology and data authority

The manufacturer's authorized technical and data owners retain identity, permissions, approved sources, system connections, retention, logging and production deployment decisions.

Build an authority card

For one task, record:

• AI may: the exact retrieval, comparison, organization or drafting action;
• AI may not: prohibited decisions, writes, communications and data;
• Source owner: who controls the information used;
• Reviewer: who checks the output;
• Final authority: who can approve, commit, release or dispose;
• Escalation: what uncertainty or failure stops the workflow;
• Evidence: what source, version, review and action record is retained.

A practical test

If an incorrect output could commit the company, release product, accept nonconforming material, alter controlled instructions or expose restricted information, the workflow needs stronger deterministic controls and explicit human review. A prompt telling the model to “be careful” is not an authorization system.

Your next action

Use the authority card before training employees on a new AI task. If the owner, reviewer or prohibited actions are unclear, resolve that operating question before adding more automation.