What is the difference between an AI agent and a chatbot?
A chatbot mainly answers. An AI agent works with a goal, context, tools, and rules to prepare a specific output.
Veslo knowledge page
AI agent vs chatbot vs RPA
A chatbot answers, RPA repeats fixed steps, and an AI agent prepares work across context, rules, and tools. The difference is autonomy and control.
01 / Chatbot
A chatbot is good for answers and dialogue.
It is useful for finding information, explaining rules, or helping a user. When it must prepare an output from several systems and watch process rules, it often lacks broader work context.
02 / RPA
RPA is useful for fixed steps.
Robotic process automation repeats stable actions in applications. It is weaker when context, text, documents, exceptions, or decision rules change.
03 / AI agent
An AI agent works with a goal, context, and control.
An agent can connect information, prepare a draft output, mark uncertainty, and hand work to a person. It does not replace governance; it needs permissions, rules, and a traceable process.
04 / Veslo
Veslo combines agentic work with company control.
Veslo is not limited to chat or click automation. It creates an environment where agents and skills prepare company work safely, repeatedly, and with human review of important outputs.
FAQ
FAQ
What is the difference between an AI agent and RPA?
RPA repeats fixed steps. An AI agent works better with text, documents, exceptions, and changing company context.
Can an AI agent replace RPA?
Sometimes, but they often complement each other. RPA can perform stable steps while an AI agent prepares context, drafts, and exceptions for review.
What is a good starting point?
Start with a process where neither an answer nor a fixed script is enough, such as preparing materials, exceptions, drafts, and review outputs.
Want to see where AI agents make sense in your company?
Send a work email and we will review one safe first process Veslo could prepare for human review.