AI in manufacturing. For manufacturers and industrial companies.
Maintenance knowledge, quality reports, technical documentation and procurement with Claude, with engineers approving every safety-relevant step and every use classified under the EU AI Act.
30 minutes with a solution architect.
What is AI in manufacturing, and how does Solorai help?
AI in manufacturing ranges from machine vision and sensor-based predictive maintenance to models such as Claude that handle the knowledge work around production: maintenance guidance, quality reports, technical documentation and procurement. Solorai works on the knowledge work, setting up Claude Enterprise for manufacturers, building AI agents for operations workflows and governing their use under the EU AI Act, with engineers approving every safety-relevant step.
Written and reviewed by Solorai
- to assess your use cases and data
- 2 weeks
- people, at most, in a first pilot
- 50
- to roll out to up to 250 people
- 6 to 8 weeks
What can manufacturers do with Claude?
The six uses manufacturing teams usually start with. Engineers approve every instruction that touches safety, and Claude never controls a machine.
Maintenance teams
Maintenance knowledge
Answer technicians’ questions from manuals and past work orders, with every step linked to its source.
Quality teams
Quality reports
Draft non-conformance and 8D reports from inspection data and notes, for the quality engineer to complete and approve.
Engineering
Technical documentation
Draft and update instructions, specifications and translations from engineering sources, with every change tracked.
Procurement
Procurement and supplier files
Compare supplier quotes and certificates, check them against specifications and prepare the file for the buyer.
Compliance and product safety
Compliance documentation
Prepare technical files and declarations for review, and check them for missing evidence.
Operations
Shift handovers and reports
Turn shift notes and production data into handover reports and daily summaries for plant managers.
Confidentiality and compliance
How does AI in manufacturing stay safe and compliant?
Safety and know-how come first. These are the controls we put in place before the first manual or work order goes into Claude.
Know-how protected
Drawings, recipes and process data stay in your own Claude Enterprise organisation, with single sign-on, roles and data policies. Under Anthropic’s commercial terms, your content is not used to train models by default.
Engineers approve
Instructions that touch safety, such as lockout steps or torque values, are approved by your engineers before they reach the shop floor.
No control of machines
Claude works on documents and data. It does not control machines or safety functions, which follow the Machinery Regulation from 20 January 2027.
Classified under the EU AI Act
We classify each use before it goes live, including any AI that could become a safety component of a machine.
Unacceptable risk
Banned since 2 February 2025, such as social scoring or emotion recognition at work.
High risk
- AI in a safety function of a machineMachinery Regulation, from 20 January 2027
- Allocating tasks or evaluating workers by their behaviourHigh-risk obligations, Annex III, employment
Limited risk
- A chatbot that answers customers or suppliersTell users they are talking to an AI system
Minimal risk
- Maintenance guidance, quality reports and documentationAI policy and AI literacy measures for staff
Obligations for the high-risk uses listed in Annex III apply from 2 December 2027, as amended by Regulation (EU) 2026/1744, which also moved the AI requirements for machinery into the Machinery Regulation. We classify every use before it goes live.
How we deliver
How does Solorai deliver AI in manufacturing?
The same three services as in every engagement, set up for the rules of this sector.
Claude Enterprise
Claude for engineering, maintenance, quality and procurement teams: single sign-on, roles, data policies, connectors to your document and maintenance systems and training on real work.
Claude Enterprise servicesAI agents
One agent per workflow, such as maintenance guidance, non-conformance reports or supplier file checks, monitored, logged and approved by a person.
AI agent servicesEU AI Act and governance
An inventory of every AI use, risk classification under the EU AI Act, an AI policy and training for staff.
EU AI Act compliance services
Where to start
AI readiness assessment
About 2 weeks
We map your plants, documents and systems, and pick the uses with the clearest value.
Pilot
Up to 50 people
One team works on real work orders or reports, with success criteria agreed before the start.
Rollout
6 to 8 weeks
Claude goes to the teams in scope, with connectors, playbooks and training.
FAQ
AI in manufacturing, in short
What is AI in manufacturing?
AI in manufacturing covers machine vision, sensor-based predictive maintenance and AI models such as Claude that support the knowledge work around production: maintenance guidance, quality reports, technical documentation and procurement. Solorai works on the knowledge work.
What is industrial AI?
Industrial AI is AI applied to industrial operations, from analysing sensor data to supporting engineers with documents and decisions. In the setups we build, AI prepares and checks the work, and engineers approve every safety-relevant step.
Can AI help maintenance technicians?
Yes. Claude can answer a technician’s question from your manuals and past work orders, show the source of every step and flag when two sources disagree. Safety steps are approved by your engineers.
Does the EU AI Act apply to AI in machines?
AI that performs a safety function in a machine is regulated as high-risk. After the Digital Omnibus, Regulation (EU) 2026/1744, its requirements are handled within the Machinery Regulation, which applies from 20 January 2027. Documentation and maintenance support are not high-risk.
Is our know-how safe with Claude?
With the right setup, yes: Claude Enterprise with single sign-on, roles and data policies, and connectors that respect existing permissions. Under Anthropic’s commercial terms, content is not used to train models by default.
How does a manufacturer start with AI?
With an AI readiness assessment of about 2 weeks, then a pilot with one team of up to 50 people, then a rollout of 6 to 8 weeks to the teams in scope.
Related reading
- Service
MCP server development and enterprise integrations
Custom MCP server development to connect Claude with your CRM, ERP, document stores and internal tools, with access control and audit logging.
See the service - Service
ISO/IEC 42001 readiness and certification support
ISO/IEC 42001 readiness: gap analysis, AI management system design, policies, risk assessment and preparation for the certification audit.
See the service - Glossary
What is an MCP server
MCP servers explained: what the Model Context Protocol is, how MCP servers connect AI models to tools and data, and enterprise use cases.
Read the definition
Sources: Regulation (EU) 2024/1689, Regulation (EU) 2026/1744
AI for your manufacturing teams. Start with a 30-minute briefing.
Tell us about your plants and your goals. We will reply with a clear next step.