In his recent SupplyChainBrain article, Arun Kumar, Global Head of Product and Industry Practice, explores one of the most important shifts underway in enterprise AI: the move from AI systems that recommend actions to agentic AI capable of autonomously making and executing operational decisions across supply chains. The article examines how increasing autonomy in areas such as procurement, routing, inventory balancing, and logistics is creating a new accountability challenge for enterprises, particularly as adoption begins to outpace governance maturity.
Arun argues that the future of responsible AI in supply chains will depend not simply on automation, but on building operational guardrails around high-impact use cases through risk-tiered oversight, traceability, challenger models, and human accountability. As supply chains become faster, leaner, and increasingly autonomous, the piece offers a pragmatic perspective on why governance and execution discipline, not AI adoption alone will define long-term enterprise success.
In a recent Finextra article, “The EU AI Act, Two Years On: Were We Right to Be Cautious?”, Vikas Krishan, Chief Digital Business Officer & Head of UK & EMEA Altimetrik, explores how the EU’s early caution around AI regulation is increasingly proving relevant as enterprises move from experimentation to scaled adoption. The article examines how […]
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