The terms get used interchangeably, but they describe two very different things. Getting the distinction right saves you from over- or under-building.
What a chatbot does
A chatbot is conversational. It takes a question and returns an answer — increasingly grounded in your own content through retrieval (RAG), so responses are current and accurate rather than generic.
- Answers FAQs and product questions
- Surfaces information from your docs and knowledge base
- Hands off to a human when it hits its limits
What an AI agent does
An AI agent is goal-directed. It doesn't just respond — it uses tools, makes decisions, and executes multi-step tasks with minimal supervision.
- Books, updates, or files things across your systems
- Chains steps: look something up, decide, then act
- Operates with guardrails and human approval where it matters
The shorthand: a chatbot tells you; an agent does it for you.
Which do you need?
Start with the job. If users mostly need fast, accurate answers, a RAG chatbot is the right, cheaper tool. If the value is in completing work — routing, scheduling, data entry, onboarding — an agent earns its keep. Many production systems combine both: a conversational front door that can escalate into agentic action.
We typically scope a small pilot first to prove accuracy and ROI before committing to a full build.