Agentic Workflow
A workflow where an LLM decides the next step instead of a hard-coded path.
/ quick answer
An agentic workflow gives an LLM a goal, a set of tools, and a loop. The model chooses which tool to call at each step, observes the result, and iterates until it decides the goal is met. A workflow where an LLM decides the next step instead of a hard-coded path.
/ frequently asked
What is Agentic Workflow?
An agentic workflow gives an LLM a goal, a set of tools, and a loop. The model chooses which tool to call at each step, observes the result, and iterates until it decides the goal is met.
What is an example of Agentic Workflow?
A support triage agent reads a ticket, decides whether to search the KB, escalate to a human, or draft a reply — no fixed branching.
Why does Agentic Workflow matter?
A workflow where an LLM decides the next step instead of a hard-coded path.
What should I learn after Agentic Workflow?
Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Agentic RAG
RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.
- →MCP (Model Context Protocol)
Open protocol that lets LLMs connect to tools, data sources and apps through a standard interface.
- →Tool Use
An LLM invoking external functions to act beyond text generation.
- →Long-Term Memory
Persistent state an agent carries between sessions.
Related workflows
Turn this into a repeatable process.
- →Automated Competitor Research
From a product description to a structured competitor matrix in under 10 minutes.
- →Build an Internal Knowledge Bot
Ship a Slack bot that answers questions from your company docs.
- →Build a Tier-1 Customer Support Agent
An agent that handles common tickets end-to-end and hands off the rest.
- →Multi-Agent Customer Support
This workflow outlines how CrewAI can be used to build a multi-agent customer support system that automates inquiry routing, resolution, and escalation, improving response times and customer satisfaction.
Related tool stacks
The tools that run it in production.
- →Agent Research Stack
Web-search-enabled agent for autonomous research tasks.
- →AI Support Agent Stack
Tier-1 support handled by an AI agent grounded on your docs, with human handoff.
Comparisons & alternatives
Pick between the options.
- →OpenAI vs Anthropic for Agents
Which provider builds better production agents in 2026.
- →CrewAI vs AutoGen vs LangGraph
Three approaches to multi-agent orchestration.
- →Cursor Agents vs Devin vs Lovable
Three ways AI writes code for you in 2026.
- →OpenAI vs Gemini for Agent Building
Both ship strong models and SDKs — differences are in tool calling, context and pricing.