Enterprise AI is about orchestration, not models
For the past two years, enterprise AI conversations have been focused on one question: "What AI model should we standardize on?" That's becoming the wrong question. The most pressing issue isn't choosing the best model; it's finding the most direct and efficient path to an outcome. As a user, I no longer care whether I'm using ChatGPT, Claude, or Copilot. I need the most accurate and useful output. A CFO, on the other hand, seeks the optimal outputs at the lowest cost. We're seeing foundational models rapidly advance and, in many cases, become interchangeable. The real differentiator is the ability to consistently deploy the optimal model, system, or resource for each task. Not every inquiry requires a heavy lift. For example: Should a policy question or vendor scorecard inquiry go to ChatGPT or to an internal knowledge base? Should a procurement analysis be handled by a domain-specific supply chain agent? These aren't just technology decisions. They're business and economic decisions.