AI can summarize records, suggest a draft checklist, find repeated wording in NCRs, and surface trends. It should not silently decide product disposition, accept a deviation, or change a controlled procedure.
A practical route
Label generated text as draft, keep source records, require accountable approval, and define what data may leave the system. The strongest use of AI reduces search and typing so the quality team can spend more time at the process.
What good looks like
The process is visible at the point of work. The person doing the task knows the current requirement, the person approving it can see objective evidence, and the owner can tell whether the control worked. Keep the record small enough to complete in the moment: requirement, result, exception, owner, date, and next decision.
The failure mode to avoid
Do not solve a recurring process problem with a longer form alone. Watch one real job, find the handoff that breaks, and change the workflow or responsibility. Then sample the next few records to confirm the change stuck. The output should be a record someone else can verify. Use the product integrity. to keep that chain together.