agentic workflows

Agentic workflows are autonomous, goal-oriented AI systems where specialized agents dynamically plan, execute, and self-correct multi-step tasks without constant human intervention.

This technology represents the next generation of automation, moving past rigid, rule-based scripts to adaptive, intelligent systems. An agentic workflow orchestrates multiple AI agents (e.g., a Generator, a Validator, and an Orchestrator) to collaborate on complex objectives: think IT helpdesk management or e-commerce sales recovery (Source: Airbyte, gptbots.ai). Unlike traditional automation that fails on exceptions, agentic systems use large language models (LLMs) for real-time reasoning, task decomposition, and tool-use (APIs, databases). For example, an agent can autonomously classify a support ticket, generate a draft response using a knowledge base, and then have a second agent validate the output before sending it, ensuring high accuracy and efficiency across the entire process.

https://airbyte.com/blog/ai-agentic-workflows