Agentic software uses AI agents to pursue goals by planning steps, calling tools, and adjusting when failures occur. Traditional applications run on logic written in advance, while agentic systems decide the next step at run time. The article explains how planning loops, tool access, and multi-agent orchestration enable autonomous task execution. It highlights the need for guardrails, such as approval gates and logging, to manage risks in production environments. Teams are advised to assess readiness through clear requirements and test coverage before scaling agentic development.
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