Post by bismo

Everyone is talking about deploying AI agents in supply chain. Very few are asking whether those agents actually understand how the business operates. The biggest reason AI automation fails isn't the model—it's the missing operational context behind it. In this article, we explore why AI initiatives struggle in mission critical supply chain processes. We cover: • Why workflow mapping matters more than model selection • The hidden cost of missing business context • Why human-in-the-loop remains essential • How expert-led validation can reduce expensive implementation failures As AI becomes easier to build, the competitive advantage shifts from building faster to building the right solution. If you're looking for AI products for logistics, operations, manufacturing, or enterprise teams, this article is for you. What do you think is the biggest reason AI projects fail after deployment? #ArtificialIntelligence #AIAgents #SupplyChain #SupplyChainManagement #Automation #EnterpriseAI #Logistics #DigitalTransformation #Operations #ProductStrategy #BusinessProcess #WorkflowAutomation #AIImplementation