“Agentic” is everywhere in AI marketing. Here’s what it actually means, how it differs from a chatbot or basic automation, and what buyers should look for.
Key Takeaways
- A workflow is only meaningfully agentic if AI is making decisions across multiple steps, not just responding to a prompt or following a fixed script.
- Chatbots typically respond to a prompt, while traditional automation follows predefined rules. Agentic workflows can adapt as the process unfolds.
- More autonomy also means different oversight and cost requirements. Buyers should understand who or what decides the next step in a process, what systems the agent can access, and who monitors its activity.
What Is an Agentic Workflow?
An agentic workflow is a multi-step process where one or more AI agents decide what to do next, take actions, and adjust based on results without a person directing every step.
IBM emphasizes that these workflows operate with minimal human intervention and can coordinate tasks across multiple steps. That coordination is the important part. An agentic workflow doesn’t stop after one prompt and one response. It continues working toward a goal across multiple steps.
How Is an Agentic Workflow Different?
The easiest way to understand an agentic workflow is to compare it with other kinds of AI and automation.
- AI assistant or chatbot: Responds to a prompt, such as answering a question, drafting an email, or summarizing a document. A person generally decides what happens next.
- Traditional automation: Follows predefined rules and steps. It works well when the process is predictable but may fail or require human intervention when it encounters an unexpected condition.
- Agentic workflow: Can decide what to do next based on the result of the previous step, use tools or other systems, and adjust its approach as it works toward a goal.
Anthropic draws a related distinction between workflows, where code defines the path, and agents, which dynamically direct their own process and tool use.
In practice, a system can combine both approaches: some parts of the workflow may be fixed, while an agent makes decisions at specific points.
3 Signs a Workflow Is Actually Agentic
Three capabilities commonly distinguish an agentic workflow from a chatbot or basic automation:
- Planning: The agent can break a goal into steps instead of responding to one instruction at a time.
- Tool use: It can retrieve data, call other systems, or take actions inside software instead of only generating text.
- Iteration: It can check what happened after an action and adjust what it does next.
If a product doesn’t do any of those things, the “agentic” label may be doing more marketing work than technical work.
Why the Difference Matters to Business Buyers
Agentic workflows also affect:
- Oversight: An agent that can make decisions and take actions inside other systems needs different permissions and monitoring than a chatbot that only drafts content for a person to review.
- Cost: A workflow that plans, uses tools, and iterates may make many model and tool calls during a single task. That can make its operating cost very different from a one-prompt interaction.
- Value: More autonomy and complexity should produce a meaningful benefit. If a simpler automation can handle the same process, adding an agent may not be worth the additional cost and oversight.
What to Ask Before Buying an Agentic Workflow
Before you buy, ask four questions:
- What decides the next step? Is the path predetermined, chosen by an AI agent, or approved by a person?
- What systems can the agent access? Can it only retrieve information, or can it also take actions and change data?
- What happens when something goes wrong? Does the workflow stop, retry, change its approach, or escalate to a person?
- Who can see what the agent did? Make sure someone can monitor its actions, cost, and results once it is running.
Those answers matter more than what the product description says.
Frequently Asked Questions
Is an agentic workflow the same as an AI agent?
No. An AI agent is the system that can make decisions and take actions. An agentic workflow is the larger multi-step process that one or more agents carry out.
Does an agentic workflow need multiple AI agents?
No. A workflow can be agentic with a single agent if that agent plans, uses tools, makes decisions, and adjusts its actions across multiple steps.
Measure Agentic Workflows After Deployment
Once an agentic workflow is running, the question shifts from what it is to what it is doing. Teams need visibility into agent activity, cost, results, and where workflows may be drifting.
Larridin covers those measurement questions in multi-agent workflow visibility and process intelligence for agent-driven workflows.
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