Tag: productivity
How to measure an AI agent that actually works
45% of high AI maturity organizations keep their projects in production for at least three years. Only 20% of low maturity organizations do. The difference isn't the technology: it's the measurement. Here's what to measure and how to make the numbers actually useful.
Back office: the invisible work that AI is making autonomous
Inquiries about multi-agent systems grew by 1,445% in less than two years. The back office is the business area where this technology finds the most immediate application. But automation does not mean eliminating human oversight.
Four GenAI skills every worker must master
Gartner has identified the four generative AI skills workers need to develop in 2025: recognizing use cases, understanding the technology, writing effective prompts, and evaluating results. A practical guide for CIOs and HR leaders.
How to write prompts that produce useful results
Prompt engineering is the skill that separates those who get real results from AI from those who get generic outputs. How the Gartner ReFLECT framework works and why prompt quality changes everything.
Managers and employees don’t use AI the same way
Managers who use AI daily are 3.6 times more productive than their peers. Employees, on the other hand, receive no guidance or support. The AI productivity gap is not a technology problem.
Using too much AI weakens your cognitive abilities
Cognitive offloading through generative AI increases efficiency but reduces working memory, decision-making abilities, and professional identity. Gartner data on a risk that few organizations are managing.
