Category: AI

AI usage isn’t the same as AI value

The dashboards are lighting up: usage is climbing, licenses are spreading, and the monthly AI bill keeps growing. Unfortunately, none of that actually tells you whether the AI is working. New guidance from OpenAI makes the point plainly: usage and spend tell only part of the story. Leaders need to see the work behind the spend, and connect it to real outcomes. Usage is not value It is an easy trap to fall into, because a chart of active users or tokens looks like progress, and it feels reassuring in a board deck. But token volume is a measure of activity, not value. A short answer can be worth a great deal, and a long one can be worth nothing. The useful question is different: how much useful work are we getting per dollar? Pick one measurable pilot So how do you tell whether it is working? Not with a bigger rollout, but with one carefully chosen, measurable pilot. Choose a repeatable task with clear boundaries, and give it an owner. Write down today’s baseline,

Read More »

Connected, but governed

ServiceNow’s new MCP servers let Claude, Copilot, and Gemini start work on your platform. Turning those prompts into governed outcomes — via AI Control Tower — is the real job.

Read More »

Your AI bottleneck probably isn’t the model

Most companies bolt AI onto processes designed for people. The agent ends up stuck at the same handoffs and approvals that already slowed things down. Real gains come from redesigning the workflow around what an agent can do.

Read More »