Deploying AI To Shed Light On The Murky Depths Of Multi-Tier Supply Chains

As artificial intelligence becomes embedded across supply chain operations, companies are well-advised to plan for heightened expectations around transparency, explainability and governance from customers, investors, stakeholders and regulators — expectations that intensify sharply when things go wrong.

Data breaches, discriminatory outcomes, human rights failures and quality and safety incidents increasingly prompt demands for clear explanations of what warnings were missed, and whether the company effectively used data and analytics to identify and mitigate the risks. This indicates a growing assumption that companies will actively use AI throughout their supply chains not merely to drive efficiency, but also to identify, predict, assess and address social and ethical risks.