An AI system can retrieve the right document and still make the wrong decision. That is the problem enterprise AI is approaching. The current conversation is increasingly focused on context. Give the model access to more systems. Provide it with more documents. Connect it to more databases. Allow it to retrieve more customer, operational, financial, and market information. The logic is intuitive: The more context an AI system receives, the better its decisions should become. But enterprise...

Over the past year, much of the excitement around the Model Context Protocol has focused on connectivity: giving AI a standardized way to interact with enterprise systems. Image by JTR GTM That is an important development. But it may not be the most important question. The question is not simply: “How do we connect AI to our systems?” It is: “What happens after we do?” For the last two decades, enterprise technology has largely been built around connecting applications, databases, workflows,...

Freight does not only fail. Freight failure gets absorbed. By customer service. By warehouse personnel. By inventory buffers. By planners. By managers. By cost. That is one of transportation’s most under-measured economic problems. The industry has normalized operational failure. Late shipments. Missed appointments. Dwell. Rework. Expedites. Inventory distortion. Claims. Customer escalations. Manual intervention. Most organizations treat these as either normal or as transportation friction....