Where the enterprise AI advantage comes from

The strongest AI agent we recently tested completed 61.7% of 107 real-world commerce tasks. That number captures where agentic AI stands today. A system that can complete six out of every 10 complicated business tasks can already take meaningful work off someone’s plate. But for businesses, model choice is only part of the decision. The larger task is matching each workflow with a system that can complete it reliably at an operating cost that makes sense. For much of the AI boom, progress has been measured through model intelligence. Bigger and more capable models generally meant better results. As AI moves into everyday operations, however, companies also have to account for efficiency. Different tasks demand different levels of reasoning and computing power, and using maximum capability can add cost without improving the outcome. This is one dimension of precision delegation: matching the capability assigned to the workflow with what the work requires. THE BIGGEST MODEL IS NOT ALWAYS THE BEST MODEL Today, business outcomes depend on the entire system around a model: how work is structured, what tools the model can access, and the context available when it makes a decision. This …