Editorial Team
Chase W. Hughes
Founder & AI Expert · Artificial Intelligence
Most enterprise AI pilots don't fail on the technology. They fail on who owns them.
The person assigned to run the pilot has usually worked out that their position is exposed either way. If it fails, they ran a failure. If it works, it automates part of what their own team does. Quiet non-adoption is the rational response, and no dashboard fixes it. The second cause is structural: legacy stacks were built for software that asks permission, not for agents that work out at runtime what they need. Most companies are stuck in that in-between.
What does work looks less like buying a model and more like managing a team — a hierarchy of agents, some slower and more careful, some fast and cheap, with a person accountable for the outcome rather than for the tool.
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