TL;DR
A design pattern where an AI system autonomously plans, reasons, and executes multi-step tasks by utilizing external tools and adapting its strategy based on feedback.
Unlike traditional software pipelines that rely on rigid, hardcoded conditional logic, an agentic workflow utilizes a foundation model as an active decision engine. It structures task execution into open-ended loops of observation, planning, action, and evaluation, allowing the system to handle unexpected edge cases dynamically. This architectural pattern shifts the AI's role from stateless single-turn responses to progressive, stateful problem-solving.
Why this matters for your business
It enables enterprises to safely automate complex, open-ended business operations, such as dynamic customer support routing or multi-source data synthesis, with minimal human intervention.
