Agentic AI Is not a one-size-fits-all solution - when to use agents, automation, or a human
Artificial intelligence (AI) has proven its value in the enterprise. It can eliminate tedious tasks, reduce workloads, and help teams move faster. Unsurprisingly, adoption has surged, with recent research showing that 88% of organizations now use AI in at least one business function.
But as AI agents spread across the enterprise, a familiar pattern is emerging. Many organizations are moving quickly from experimentation to overreach, assuming agents can handle almost any process. That assumption is where problems begin. AI is powerful, but it is not a one-size-fits-all solution. The path forward isn't more agents; it's the orchestration layer that decides when an agent reasons, when automation executes, and when a human steps in.
The issue is not that AI agents do not work. It is that expectations are often misaligned with what they are best suited to do. When agents are asked to handle tasks for which they’re not well-suited,...
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