Agent Workflow vs Chatbot vs RPA

People keep using the same words for different things.

Chatbot. Agent. Automation. RPA. Workflow.

They overlap, but they are not the same product.

Chatbot#

A chatbot is mostly conversation.

Good for:

• Answering questions.
• Searching docs.
• Explaining product behavior.
• Helping users navigate information.

Weak at:

• Multi-step work.
• Tool-heavy tasks.
• Approval flows.
• Production auditability.

A chatbot can be useful. It is not automatically an agent.

RPA#

RPA is scripted automation.

Good for:

• Stable repetitive workflows.
• Known forms.
• Back-office processes.
• Deterministic steps.

Weak at:

• Ambiguous requests.
• Changing context.
• Reasoning across sources.
• Natural language intake.

RPA is great when the path is fixed. It struggles when the task needs judgment.

Agent workflow#

An agent workflow combines reasoning, tools, state, and control.

Good for:

• Triage.
• Research.
• Drafting actions.
• Multi-source context gathering.
• Tool routing.
• Approval-backed operations.
• Evals and auditability.

Weak at:

• Tasks with no clear owner.
• Work with unclear permissions.
• Fully autonomous high-risk actions.
• Teams that do not want to define process.

An agent workflow is not "the model can click things." It is a designed operating path.

The easiest test#

Ask:

Does this task need judgment?

If no, use automation or RPA.

Ask:

Does this task need conversation only?

If yes, use a chatbot.

Ask:

Does this task need judgment, tools, state, approval, and logs?

That is an agent workflow.

Build it in Codelit#

Try this:

Compare chatbot, RPA, and agent workflow options for automating customer support triage. Recommend the workflow, tools, approvals, evals, and architecture.

Map the right automation in Codelit

The category matters because the build path changes.