An AI agent can finish a task and still violate the rules that matter most. In supply chain, that gap can affect cost limits, approved suppliers, compliance requirements, safety protocols, and escalation paths.
In this episode of Supply Chain Now, Scott W. Luton speaks with Vin Vashishta, CEO and AI strategist at V-Squared, about intent contracts, audit trails, workflow reorchestration, tokenomics, semantic layers, and evidence-based AI strategy.
Vin explains how to evaluate AI by the value it creates, budget for recurring usage costs, work with imperfect information, and require consultants to connect every recommendation to evidence, risk, mitigation, and business-specific ROI.
Jump into the conversation:
(00:00) Introduction
(05:38) Intent contracts and their role in AI agent management
(08:38) The need for AI audit trails in supply chain
(11:10) CIO considerations for managing AI demand at scale
(14:21) Gaps in workflow reorchestration and value quantification
(17:00) Lessons from the semantic layer meme on imperfect data
(19:36) The outcomes an AI strategy should deliver for a specific business
(25:03) AI training programs generating the strongest market response
(26:49) Ways to follow Vin and learn more
Additional Links & Resources:
This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/ai-agents-semantic-layers-cio-leadership-1629
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