A chatbot primarily focuses on conversation. An AI agent can combine conversation with tools, memory, knowledge retrieval and workflow actions. That distinction matters when the goal is to get work done rather than only answer questions.
Chatbot use case
A customer asks a question and receives an answer from a predefined or AI-generated knowledge source.
Agent use case
A customer asks about an order. The agent identifies the request, asks for missing information, checks the order system, explains the status and triggers a follow-up workflow if needed.
What makes an agent safe enough for business?
Tool permissions, approved data access, clear workflow boundaries, human escalation, logging and validation are more important than giving the model unrestricted autonomy.
When should you use each?
If the business need is mainly information retrieval, a well-designed assistant may be enough. If the system needs to coordinate multiple steps or applications, an agentic workflow may be more appropriate.
How Cortex Labs can help
Cortex Labs can help assess the workflow, information sources, integrations and technical architecture required to turn this kind of use case into a working solution.
Discuss a relevant use case
Start with one business process and define the outcome you want to improve.