5 things you absolutely must consider before using agentic AI Agentic AI is moving quickly from concept to real-world de...

5 things you absolutely must consider before using agentic AI Agentic AI is moving quickly from concept to real-world deployment, with companies exploring systems that can plan, decide, and execute tasks with limited human input. Unlike traditional AI tools that respond to prompts, AI agents can carry out multi-step workflows, interact with software tools, and adjust their actions based on outcomes. This shift creates major opportunities, but it also introduces new risks that organizations and individuals need to understand before adoption.1. Reliability is not guaranteed across multi-step tasksUnlike single-response generative AI, agentic systems must complete sequences of actions. Each step introduces a chance for error, and small mistakes can compound across a workflow. Even when individual components perform well, end-to-end reliability can degrade when tasks involve complex reasoning, external tools, or changing conditions. This makes testing and controlled deployment essential be...