AI in manufacturing is already running.
Governance rules are not.
Predictive maintenance, visual quality control, production optimization — your teams already use AI. But without governance for safety components, OT security, and supply chain compliance, you risk fines and losing customers. We set up the rules in 2-3 weeks.
Four regulations at once.
None of them are waiting.
Manufacturing companies in the EU face a confluence of the AI Act, NIS2, Machinery Directive, and Cyber Resilience Act. Each has different deadlines, different requirements — and all of them apply to your production processes.
Machine safety components = high-risk AI
If AI controlling machine processes affects safety, it falls under Annex I of the AI Act. That means mandatory documentation, risk assessment, and third-party conformity assessment. Deadline for high-risk AI: August 2026.
Source: AI Act Art. 6, Annex I — Machinery RegulationOT/IT convergence without proper security
18% of cyberattacks in the EU target OT systems. Manufacturers of machinery, electronics, and chemicals are "important entities" under NIS2. Fines up to EUR 10M or 2% of turnover. Personal liability for management.
Source: ENISA Threat Landscape 2025, NIS2 Annex IIEvery connected product must be "secure by design"
The Cyber Resilience Act requires security by design for all products with digital elements — IoT sensors, industrial control systems, firmware. Vulnerability reporting from September 2026, full compliance from December 2027. Fines up to EUR 15M.
Source: CRA (EU) 2024/2847, Art. 14Large customers demand AI compliance from suppliers
Automotive OEMs and major buyers are starting to require AI governance documentation and compliance clauses in contracts. If you cannot demonstrate compliance, you fall out of the supply chain.
Source: WEF AI in Manufacturing 2025, EU AI Act Art. 25Governance as a competitive advantage
in the supply chain.
AI Act + NIS2 + GDPR + CRA + Machinery Directive — interconnected, not in separate silos.
Rules for AI in manufacturing, security policies, employee training — in weeks, not months.
Czech firms outpace the EU average in AI adoption. But governance lags behind the adoption pace.
Three steps to AI governance in manufacturing.
We assess where you stand today. We prepare documentation, policies, and training tailored to your manufacturing operations. You invest 2-3 hours of your time; we handle the rest.
Audit and classification
We map AI systems in your production — predictive maintenance, visual inspection, robotics, safety systems. We determine what falls under high-risk (Annex I) and NIS2.
Documentation and policies
We prepare AI governance policies, OT security guidelines, risk assessments for safety components, and compliance documentation for the supply chain.
Training and handover
We train manufacturing management and operators — what they can and cannot do with AI, how to report incidents, how to maintain compliance. Certificates included.
Solutions by role
Each role approaches AI governance from a different angle. See what is relevant for you.
Governance is not a burden.
It is a competitive edge.
In 15 minutes we will assess where you stand today, what to tackle first, and how much it will cost. No commitment, no sales pressure.
Book an introductory call →