Agentic Workflow

Simple Definition

An agentic workflow is a process where AI agents handle the steps of a task autonomously, planning, acting, and adjusting, without needing a human to guide each individual step.

Unlike a simple AI workflow where you prompt the AI once and review the output, an agentic workflow involves the AI making a series of decisions and taking multiple actions on its own.

How It Differs from a Standard AI Workflow

Standard AI workflow:

1. You write a prompt
2. AI produces output
3. You review and continue

Agentic workflow:

1. You give a goal
2. AI plans the steps
3. AI executes step 1, evaluates the result
4. AI adjusts and executes step 2
5. Continues until the goal is complete
6. You review the final output

Practical Examples

Marketing: “Find the top 10 blog posts on our topic and produce a gap analysis report”, the agent searches, reads, compares, and writes the report.

Sales: “Research each lead in this list, score them by fit, and draft a personalized outreach email for each”, the agent works through every contact.

Operations: “Every morning, pull yesterday’s sales data, highlight anomalies, and send a summary to the team”, the agent runs on schedule without being prompted.

Risks and Limitations

Agentic workflows can fail silently, the agent takes wrong steps, makes incorrect decisions, or produces plausible-looking but wrong outputs. It’s important to:

• Build in checkpoints for high-stakes steps
• Review outputs before using them
• Start simple and expand scope as reliability improves

Related Terms

• AI Workflow, the broader concept of using AI in a process
• AI Agent, the core component of agentic workflows
• Agent Orchestration, how multiple agents in a workflow are coordinated
• Agentic AI, the underlying design philosophy