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Companies Are Running AI Agents. Are They Measuring Whether They Work?
Artificial Intelligence

Companies Are Running AI Agents. Are They Measuring Whether They Work?

Published 14 October 2026

Are companies measuring whether their AI agents actually work? A 2026 survey from Liferay suggests many are not. Its report, based on 500 US professionals involved in AI decisions or day-to-day use, found that 54% of companies are running AI agents in production or piloting them, yet only 25% measure AI's impact with clear KPIs. Only 24% have a company-wide AI usage policy. Liferay published the report, so read it as vendor research.

A separate survey from CrewAI, which sells an agent platform, asked 500 senior leaders at large companies with 5,000 or more employees. It found that 65% already use AI agents. When asked what matters most in evaluating AI agent platforms, security and governance came first at 34%, while only 2% named time-to-value and return on investment as their primary consideration. These figures are self-reported and come from a vendor.

The two surveys ask different groups different questions, so the numbers should not be compared line by line. They do point to the same gap: running agents is easier than measuring them.

This matters because without a measure, you cannot tell whether an agent saves time or makes mistakes. In the Liferay survey, 42% of companies said better accuracy is what AI agents need most to become more useful, and 29% named cost as a leading barrier to getting more value from AI. A clear baseline makes both easier to judge.

At Zamorins Solutions we build AI and automation solutions for business.

What you can do this week

  • Pick one AI agent or automation you already use and write down the one result it should improve, such as hours saved or errors avoided.
  • Record that number today as a baseline, and check it again in a month.
  • Decide who owns the number and who reviews the agent's mistakes.

Takeaway: Running an AI agent is not the same as knowing it works, so set one measurable goal and a baseline before you expand.

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