News
GENERAL ASSEMBLY 2021 AND MEMBER DIALOGUE 2 (PROJECT UPDATE WEBINAR)
Pharma.Aero has launched a new project focused on how Artificial Intelligence (AI) can support decision-making across pharmaceutical and MedTech supply chains.
As AI adoption accelerates from pilot initiatives to operational deployment, companies are increasingly using it for planning, risk mitigation, and process optimisation. At the same time, questions remain around decision ownership, regulatory compliance, and the impact on the workforce.
The new project addresses these challenges by taking a structured, industry-driven approach to AI integration.
Project focus
The initiative explores how AI can augment human decision-making, rather than replace it, within regulated supply chain environments. The work will assess:
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Where AI adds measurable value in supply chain decisions
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How decision tasks can be divided between humans and AI
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How organisations maintain transparency, oversight, and control
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How AI-supported processes align with GDP, GMP, and regulatory expectations
The goal is to bridge the gap between technical capability and practical implementation.
Expected outcome
The main outcome of the project will be an actionable framework for responsible AI integration in pharmaceutical and MedTech supply chains. This framework will address:
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Technological readiness
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Regulatory and compliance requirements
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Ethical considerations
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Workforce implications
The framework will support organisations in making informed decisions on AI adoption, investment priorities, and future pilot initiatives. The project’s findings will also be consolidated into an industry opinion paper, providing a structured, cross-industry perspective on AI implementation in regulated supply chains.
Academic collaboration
As part of the project, Pharma.Aero is collaborating with students from the Master’s in Global Supply Chain Management at Antwerp Management School. Their contribution brings additional analytical perspectives and strengthens the link between academic research and real-world industry challenges.