AI and evolving environmental requirements are two drivers reshaping global supply chains. The effective deployment of AI requires digital tools, trusted data, and interoperable systems. Environmental requirements may disrupt trade flows and lead to increasing trade costs if not implemented with the help of digital tools, trusted data and interoperability of systems. Trade facilitation and the digitalisation of trade facilitation frameworks provide the architecture that connects these agendas: the same systems that enable risk‑based controls, automated document handling, and efficient clearance can also support robust sustainability verification. As both efficiency and environmental performance become central to supply chain governance, paperless trade, standardised data models, and coherent digital infrastructure emerge as preconditions for success.
Realising the benefits of this transformation requires more than technology alone. The enabling environment – access to AI‑relevant services and hardware, secure mechanism for cross‑border data exchange, legal frameworks for electronic transactions, and strong institutional capabilities – determines whether AI can be deployed at scale and whether environmental requirements can be integrated smoothly into border operations. The experience of digitally advanced economies such as Korea shows that long‑term investment in digitalisation and data standardisation can unlock the potential of AI‑enabled facilitation.
At the same time, the expansion of environment-related requirements introduces new data demands, verification steps, and interactions between customs, environmental authorities, and other relevant border agencies. These obligations risk creating parallel processes unless they are efficiently embedded in existing trade facilitation frameworks. Technical interoperability is therefore essential to avoid fragmentation, reduce compliance costs, and maintain efficient border operations. Equally important is effective border agency co‑operation: just as AI depends on co‑ordinated institutional arrangements, the implementation of environmental requirements requires customs, environmental regulators, and other authorities to work together through shared systems and aligned procedures.
These developments point altogether to several key areas for policy action:
Advancing interoperability, through common data models, interoperable registries and certification systems, and integration of environmental data into existing trade facilitation architectures.
Enhancing supply chain resilience, by embedding environment-related and compliance information into border processes and digital tools for trade facilitation while preserving predictability and efficiency.
Investing in enabling ecosystems, including digital infrastructure, legal recognition of electronic transactions, and institutional capacity across border agencies. AI can only be scaled up in border settings when documents and processes are digitised, data elements are standardised, and systems interoperate – with legal certainty for electronic transactions and secure cross border data exchange.
Promoting mechanisms for inter-agency co‑ordination, ensuring operational co-operation between customs, environmental authorities, and other regulators to enable the use of emerging technologies such as AI and support coherent implementation of new requirements enforced at the border.
Enhancing international co-operation, including as regards the layers underpinning technical interoperability: the alignment of underlying data elements, the standardisation of relevant documents, and the compatibility of data systems that enable information to flow reliably between domestic agencies and across borders.