Incident diagnosis and maintenance
Drawing on CMMS history, alarms and manufacturer manuals, the agent suggests likely causes and the procedure to follow. The operator approves the intervention, and the report goes into the CMMS.
Maintenance, quality, procurement, technical documentation: Claude agents connected to your production systems that diagnose, prepare and document, while your operators keep their hands on the machine.
An AI agent for manufacturing is a Claude agent connected to a production site’s systems (CMMS, MES, ERP, document base) that helps diagnose incidents, find a procedure, prepare a non-conformity report or assess a supplier. It proposes and documents; operators and quality managers approve any action on the equipment or the product.
In a plant, the question is not only what the agent can do, but what it is allowed to touch. Four frameworks draw the line.
The NIS2 Directive (EU 2022/2555) extends cybersecurity obligations to many sectors, including chemicals, food and the manufacture of certain products (medical devices, electronics, electrical equipment, machinery, vehicles), for medium and large companies. An agent with access to production information systems widens the attack surface: it belongs in the entity’s risk analysis and security measures.
Regulation (EU) 2023/1230 on machinery, applicable from 20 January 2027, explicitly addresses safety components with self-evolving behaviour. One more reason for the agent to advise the operator rather than command the equipment.
The EU AI Act treats AI systems used as safety components of products covered by EU harmonisation legislation and subject to third-party conformity assessment as high-risk. For machinery, Regulation (EU) 2026/1744 changed the route: these requirements will be written into the Machinery Regulation through a Commission delegated act, with 2 August 2028 as the horizon, instead of applying directly under the AI Act.
Drawings, recipes, process parameters: part of industrial documentation is protected as trade secrets. Hosting, agent access rights and the model provider’s data retention terms are set during scoping.
Drawing on CMMS history, alarms and manufacturer manuals, the agent suggests likely causes and the procedure to follow. The operator approves the intervention, and the report goes into the CMMS.
Quality procedures, technical sheets, internal standards: the agent finds the right version and answers with its source, whatever the site or the language of the document.
The agent pre-fills the non-conformity report, links the case to past incidents, proposes a root-cause analysis and the corrective actions that have already worked. The quality manager decides.
Bid analysis, delay tracking, supplier financial health monitoring, negotiation preparation: the agent pulls scattered information together for the buyer.
The agent reads production data and proposes; it does not drive the machine. That boundary simplifies the safety analysis and keeps the operator responsible for the action.
Dedicated service accounts, read-only rights by default, separation between business IT and operational technology: the agent follows the site security policy, validated with the CISO.
Diagnosis time, first-time fix rate, report quality: indicators are agreed with maintenance teams before the pilot, so the call is made on facts.
We start from your processes and your regulatory constraints to find the first agent worth building, and the framework that goes with it.