Time: Morning

What’s Covered

• The changing architecture of global trade: WTO, FTAs, customs unions and emerging approaches to digital trade
• Digital trade and e-commerce: how technology is changing the way goods, services and intellectual property cross borders
• Cross-border data flows: data as an increasingly important component of international trade
• Digital trade regulation: the emerging rules, agreements and policy questions surrounding digital commerce
• Data governance and data quality: why trustworthy data matters for modern trade and AI-enabled decision-making
• Digital customs and trade facilitation: paperless trade, Single Window systems and the digitalisation of border processes
• Digital Product Passports and supply-chain data
• AI and the future of trade: how AI is beginning to influence trade costs, productivity, services, customs and trade policy

Learning Outcomes

• Explain how digitalisation, data and emerging technologies are reshaping international trade
• Understand the principal institutions and frameworks governing global trade
• Recognise the growing importance of cross-border data flows
• Explain why data quality and governance matter to AI-enabled trade
• Assess how digital customs and emerging technologies are changing trade
• Identify implications of digital trade developments for their organisation
• Discuss how AI may influence the future of global trade and trade policy

What’s Covered

• AI fundamentals: machine learning, generative AI, LLMs, multimodal AI and agentic AI
• AI capabilities and limitations: hallucinations, bias, explainability and reliability
• Human judgement, professional prompting and AI-assisted research
• AI in customs, trade compliance, supply chains and logistics
• Practical evaluation of where AI can and cannot be trusted

In essence: Understand what AI can really do in global trade and learn where to trust it, where to challenge it, and where human judgement remains essential.

Learning Outcomes

• Explain the core concepts behind modern AI
• Evaluate AI capabilities and limitations in trade
• Identify hallucination, bias and reliability risks
• Use AI appropriately for professional research and analysis
• Identify opportunities for AI while determining where human judgement remains essential

What’s Covered

• Customs classification, valuation, origin, FTA qualification and duty optimisation
• Export controls, sanctions and entity screening
• Supply-chain visibility, supplier intelligence and logistics optimisation
• Trade documentation, trade finance, regulatory intelligence and analytics
• AI copilots, agents, workflow automation and human-in-the-loop design

Learning Outcomes

• Identify high-value AI use cases across trade operations
• Evaluate whether AI is appropriate for a specific trade activity
• Design an AI-enabled trade workflow
• Identify automation risks and build in human review
• Assess business value and measures of success

What’s Covered

• Regulatory intelligence: monitoring, interpreting and prioritising regulatory developments
• Horizon scanning: identifying emerging risks before they become compliance problems
• AI and regulatory intelligence: how AI can help organisations monitor, analyse and respond to rapidly changing requirements
• Government use of AI: AI-enabled customs, enforcement and border management

When the world changes faster than the rulebook, how does a trade professional know what has changed, understand the impact, and advise the business?

Learning Outcomes

• Use regulatory intelligence and horizon-scanning approaches to identify emerging trade risks
• Assess how AI can support the monitoring, analysis and interpretation of changing trade requirements
• Distinguish between information that AI can help identify and decisions that require expert human judgement
• Communicate the potential business impact of a significant geopolitical or regulatory development and recommend appropriate actions

In other words, if something happens tomorrow, I know how to respond.

What’s Covered

• Trade compliance, operational and AI-specific risk
• Cybersecurity, privacy, IP and confidentiality
• Legal liability, accountability, auditability and explainability
• AI governance, vendor risk and assurance
• EU AI Act, NIST AI RMF, ISO/IEC 42001 and human oversight

In essence: AI + Human Decision Framework: Detect → Analyse → Decide → Verify

Learning Outcomes

• Identify and assess AI-related risks in trade operations
• Design practical governance and control mechanisms for AI-enabled trade activities
• Explain legal and regulatory responsibilities associated with AI
• Apply recognised AI governance frameworks
• Determine when AI-supported decisions require human review

What’s Covered

• AI readiness, digital maturity and data maturity
• Trade technology ecosystems, ERP/GTM systems and AI enabled technology
• Future operating models, process redesign and workflow automation
• Workforce transformation, AI literacy, skills and change management
• Vendor evaluation, implementation roadmaps and measuring success

In essence: You now know AI is valuable and you’ve learned about governance around it. Now let’s look at how you actually implement it in a real organisation.

Learning Outcomes

• Assess organisational readiness for AI adoption
• Identify data, technology, process, governance and workforce gaps
• Evaluate AI technology and vendor propositions
• Design an AI implementation roadmap
• Develop an approach to adoption, change and measuring value

What’s Covered

• AI and trade transformation strategy
• Business cases, investment decisions, ROI and executive communication
• Innovation, competitive advantage and emerging technologies
• AI agents, digital customs and future trade operating models
• Future customs and compliance functions, workforce and leadership

In essence: You’ve identified an AI opportunity. Now convince me to give you €2 million!

Learning Outcomes

• Develop an AI and trade transformation strategy
• Build a compelling business case and assess ROI
• Communicate AI opportunities and risks to senior leadership
• Lead organisational change and build an AI culture
• Anticipate how AI will reshape global trade and the trade profession