Where manufacturing AI risk actually shows up
It is rarely the chatbot on the shop floor. It is the buyer who asks Copilot to “confirm the revised shipment date with Acme Steel,” the quality engineer who has AI summarize a nonconformance report and email the customer, or the sales ops rep who updates forecast fields from an AI-generated pipeline summary.
Each action binds the company — commercially and sometimes contractually — without a purchase order workflow or quality sign-off in the loop.
Failure modes plant leadership recognizes
Wrong supplier contact
AI pulls an old contact from CRM and commits to terms with someone who left the vendor two years ago.
Unauthorized schedule promise
Customer-facing email cites a ship date the production plan cannot support — drafted from stale ERP data.
Spec or BOM exposure
AI attaches the wrong drawing revision because folder permissions were broader than policy intended.
Policies a mid-size manufacturer can enforce
- Any AI-sent email to an external supplier or customer → manager approval
- ERP or quality system writes → approval + audit entry, not silent updates
- Actions on records not synced within 24 hours → held for review
- Financial commitments above delegated authority → blocked until CFO delegate approves
These are business rules your ops team already understands. AgentGovernance enforces them when Copilot or ChatGPT tries to act — not when someone remembers the policy.
ISO and customer audit questions
Auditors increasingly ask how AI-assisted decisions are controlled. You need a log that shows: what AI attempted, which policy applied, who approved external communication, and whether production records were current. Prompt policies in a handbook do not satisfy that.