"When it comes to agentic artificial intelligence, the fear of missing out factor is clear. Organizations are plopping down agents, in part, because that's what everyone else seems to be doing. But FOMO is not a business strategy. To make agentic AI work, business leaders need to ignore the hype and concentrate on establishing exactly what agents can do for them, how, and at what cost."
"But enthusiasm does not always translate into impact, something that many businesses are beginning to recognize. According to one study, 40% of agentic AI projects could be canceled by the end of 2027 due to unclear business value and escalating costs. In recent research, McKinsey studied dozens of agentic AI initiatives, including 50 in which we were directly involved. With the wisdom of hindsight, we've identified three critical factors in agentic AI success."
AI agents that independently plan and execute complex multistep tasks can accelerate timelines and reduce costs. Many organizations deploy agents because of fear of missing out rather than defined strategy. Unclear business value and escalating costs could cancel a significant share of projects by 2027. Successful deployments integrate agents into reimagined workflows instead of retrofitting them into outdated processes. Agents are effective in multi-step, dynamic workflows such as IT help desks, software development, and customer service. Careful modernization of high-value processes, like contract review, can yield substantial efficiency gains. Three critical factors determine agentic AI success.
Read at Fast Company
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