Abstract
Purpose – This study investigates the preparedness of manufacturing companies in the UK and Brazil to comply with the European Union’s artificial intelligence (AI) Act of 2024. It aims to assess these companies’ ability to identify AI-related risks, implement necessary compliance measures and evaluate a newly developed compliance framework designed to enhance regulatory compliance.
Design/methodology/approach – A mixed-methods approach was adopted. First, 10 AI use case scenarios were identified from the literature related to production processes and products. A survey of 152 members from 87 companies in the UK and Brazil was conducted to gauge baseline readiness. Subsequently, a novel compliance framework was piloted with 11 of these companies. Pre- and post-pilot assessments were analysed to evaluate improvements in risk identification, regulatory knowledge and organisational confidence.
Findings – The results reveal a significant gap in compliance readiness at baseline and substantial improvements post-intervention. Prior to the pilot, participants on average identified correctly the risk levels in only 40% of scenarios and just 42% demonstrated adequate knowledge of the Act’s provisions. After implementing the compliance framework, average risk identification accuracy rose to 86% and regulatory comprehension to 81%, indicating a marked improvement (p < 0.01). Participants’ self-reported confidence in managing AI compliance also increased correspondingly.
Originality/value – This study is among the first to empirically examine AI Act compliance readiness in nonEU manufacturing companies. It provides a novel compliance framework to improve the capacity to manage AI related regulatory requirements. The study offers valuable insights for manufacturing managers and regulators navigating the interface of technological innovation and regulatory compliance.
Keywords Artificial intelligence in manufacturing, Compliance framework, Artificial intelligence act, Non-European Union manufacturers, Risk-based regulation, Industry 4.0
Paper type Research article
Design/methodology/approach – A mixed-methods approach was adopted. First, 10 AI use case scenarios were identified from the literature related to production processes and products. A survey of 152 members from 87 companies in the UK and Brazil was conducted to gauge baseline readiness. Subsequently, a novel compliance framework was piloted with 11 of these companies. Pre- and post-pilot assessments were analysed to evaluate improvements in risk identification, regulatory knowledge and organisational confidence.
Findings – The results reveal a significant gap in compliance readiness at baseline and substantial improvements post-intervention. Prior to the pilot, participants on average identified correctly the risk levels in only 40% of scenarios and just 42% demonstrated adequate knowledge of the Act’s provisions. After implementing the compliance framework, average risk identification accuracy rose to 86% and regulatory comprehension to 81%, indicating a marked improvement (p < 0.01). Participants’ self-reported confidence in managing AI compliance also increased correspondingly.
Originality/value – This study is among the first to empirically examine AI Act compliance readiness in nonEU manufacturing companies. It provides a novel compliance framework to improve the capacity to manage AI related regulatory requirements. The study offers valuable insights for manufacturing managers and regulators navigating the interface of technological innovation and regulatory compliance.
Keywords Artificial intelligence in manufacturing, Compliance framework, Artificial intelligence act, Non-European Union manufacturers, Risk-based regulation, Industry 4.0
Paper type Research article
| Original language | English |
|---|---|
| Pages (from-to) | 1-20 |
| Number of pages | 20 |
| Journal | Journal of Manufacturing Technology Management |
| Early online date | 26 Jan 2026 |
| DOIs | |
| Publication status | Published - 26 Jan 2026 |
Bibliographical note
Publisher Copyright:© 2025 Emerald Publishing Limited
Funding
Clean Futures Innovation Accelerator
Keywords
- Artificial intelligence act
- Artificial intelligence in manufacturing
- Compliance framework
- Industry 4.0
- Non-European Union manufacturers
- Risk-based regulation
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Computer Science Applications
- Strategy and Management
- Industrial and Manufacturing Engineering
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