AI Chatbot or AI Agent? Choose the Right Business Workflow
Match an assistant to the task, knowledge and permissions it needs, with evaluations, human handoff and usage limits.
Use a chatbot for answering or collecting information through conversation. A tool-using agent can take actions, which requires tighter permission boundaries, input validation and review for consequential operations.
The essentials
- Provide a clear route for missing knowledge and uncertainty.
- Keep tool permissions narrower than the business account.
- Evaluate failures, cost and human escalation.
Choose the smallest useful assistant
Start with the task: find a policy, explain a product, collect an enquiry or update a record. If a form or search page already solves it reliably, conversation may not improve it. Define the result before choosing a model or calling the project an agent.
A support chatbot can answer from approved material without changing business records. An agent may prepare or perform actions through APIs. Those capabilities have different responsibilities and are not interchangeable marketing terms.
Ground answers in maintained knowledge
Identify approved documents, their owner and how updates reach the assistant. Some questions require current account records instead of general documents. Define when authentication is necessary and which records a user may access.
Provide a route for uncertainty. Ask for missing information, explain a limitation or hand off to a person rather than inventing a policy. References help a reader verify an answer, but citations alone do not establish correctness.
Restrict actions before connecting tools
Define each tool’s allowed inputs, records and result. Validate server requests and keep credentials out of prompts and browser code. Instructions inside customer messages or retrieved documents do not grant permission for unrelated actions.
Require review for consequential operations under the business rules. Preparing a refund request differs from executing it. Keep useful audit records and make repeated calls safe when a model retries after an unclear response.
A practical check
A support assistant might retrieve a delivery policy and prepare a reply. Changing the delivery address is a separate action that needs the correct account context and validation. Test a request for someone else’s order as well as a legitimate update. Fluent conversation is not evidence that the underlying action is authorized.
Evaluate quality, cost and human handoff
Create representative tasks and expected results. Include missing knowledge, misleading instructions and unavailable tools. Check permissions, usage limits and escalation. Update the evaluation set when real failures reveal gaps.
Free model availability and provider limits change. Production still requires bounded usage and useful fallback behavior. Discuss AI Chatbots & AI Agents with the actual task, approved knowledge and allowed actions rather than unrestricted autonomy.
Frequently asked questions
Can an assistant always answer correctly?
No. Define its scope, evaluate representative cases and keep business validation and human review where needed.
Does a free model make the whole service free?
No. Hosting, storage, maintenance and abuse controls can still have costs. Free model limits and availability are provider-dependent.
References
- Agent safety - OpenAI
- LLM application security - OWASP
