AI can be transformative, but it can also fail spectacularly if user experience and real-world needs aren’t top priorities. Sometimes, the biggest danger is what you don’t see: overconfidence in AI’s novelty, untested assumptions, and a fuzzy plan for how users will adapt. Below, we’ll explore the six biggest ways AI projects go off the rails, along with strategies to mitigate risk and apply a rigorous process to your next AI initiative.

Artificial intelligence (AI) is transforming businesses of all sizes, with AI agents driving advances in automation, decision-making, and actionable insights. As the global AI agent market grows, many business leaders struggle to turn AI potential into tangible outcomes. Without a clear strategy, achieving value from AI projects can be a challenge.