Prepared with AI assistance. Practical examples are illustrative, not hands-on test results. The featured image is an AI-generated editorial illustration of generic equipment, not an exact branded product photograph.
Quick answer: Use a chatbot for guided answers and an agent only when the system must take controlled actions across tools with approvals and audit logs.
The word agent is often used for any AI interface. The practical difference is authority: a chatbot usually explains, while an agent may plan and act.
What matters most
- Action authority creates both value and risk
- Start read-only before allowing changes
- Human approval matters for financial or customer-impacting actions
- Auditability is essential
A practical step-by-step approach
1. Define the user request
Separate informational questions from tasks that change real records.
2. List allowed actions
Grant the minimum permissions needed for the workflow.
3. Add approval points
Require review before sending messages, moving money or changing important data.
4. Test failure scenarios
Test ambiguous requests, missing data and unavailable integrations.
5. Monitor every action
Keep traceable logs and a straightforward way to stop or reverse work.
Try it in practice
Separate answering from acting
A support assistant can summarise an order policy without changing an order. An agent that cancels an order needs narrower permissions, explicit confirmation, duplicate-request handling and an audit trail. Start with the summary task and test refused actions before enabling writes.
Illustrative exercise, not a measured test result.
What to check before you decide
Evaluate chatbots and agents by autonomy, integrations, permissions, reversibility, accuracy and operational ownership.
- Least-privilege access
- Human review
- Action logs
- Fallback behavior
- Clear accountability
Common mistakes to avoid
- Giving broad permissions too early
- Calling a scripted bot an autonomous agent
- Ignoring recovery procedures
- Automating a broken process
A question worth asking
Does every workflow need an agent?
No. A search tool, form or deterministic automation may be easier to operate. Add agent autonomy only where variable decisions justify its extra oversight.
Your next step
Most organizations should begin with a grounded assistant and add narrowly defined actions only after accuracy, permissions and review controls are proven.
Further reading
For additional guidance and context, consult NIST: AI Risk Management Framework. Check how the guidance applies to your organisation, country and specific task.