Frequently asked questions about AI agents
24 questions
AI agent development → What is an AI agent?
An AI agent is a system that can interpret information, use tools and carry out actions within a process.
What’s the difference between an AI agent and a chatbot?
A scripted chatbot follows a fixed menu of options. An agent understands free text and can also query systems, use tools and carry out actions.
What can an AI agent do in a company?
It can query databases, use APIs, retrieve documentation, update systems, create records, handle requests or coordinate several tools.
Can an AI agent carry out actions automatically?
Yes, as long as it has the necessary tools and permissions. Sensitive actions may require checks or human approval.
Can an agent connect to an ERP or CRM?
Yes. It can do so through APIs, databases or other available integration methods.
Can an agent work with internal data?
Yes. The architecture can connect it to databases, documentation, CRMs, ERPs and other authorized sources.
Can an agent use several tools?
Yes. It can choose between different tools depending on the request and the context, always within the defined limits.
Do you need to use several agents?
No. A multi-agent architecture only makes sense when splitting responsibilities improves control, specialization or maintainability.
What is a multi-agent system?
It’s an architecture where several agents or specialized components work together to handle different parts of a process.
How do you control what an agent can do?
Through permissions, limited tools, checks, business rules, structured outputs, logs and supervision.
Can an agent make mistakes?
Yes. Models are probabilistic. The risk can be reduced with evaluations, rules, checks, controlled sources and ways for a person to step in.
Can an agent work 24/7?
Yes, if the process and the infrastructure are designed to run continuously.
What’s the difference between an AI agent and an automation?
An automation usually follows a defined flow. An agent can interpret context and choose between different tools or actions within set limits.
Can an AI agent make decisions?
The model interprets the request and chooses the path. The decisions are made and carried out by the code, with the rules you approve, and sensitive actions ask a person for confirmation.
What tools can an agent use?
APIs, databases, search engines, calendars, CRMs, ERPs, email, internal systems and functions built specifically for the project.
Can an agent call other agents?
Yes. It can be part of an architecture where different agents work together, although that isn’t always necessary.
What does giving an agent tools mean?
It means exposing specific functions the system can use to look up or change information.
Can an agent access the internet?
Yes, if the project allows it and a controlled browsing or web lookup tool is designed for it.
Can an agent take irreversible actions?
Technically it can, but high-impact actions should include checks or human approval.
What happens if the agent misreads a request?
The system can ask for clarification, block the action or hand off the case according to the defined rules.
Can an agent work in several languages?
Yes, if the model used and the information sources properly support those languages.
Can an agent’s behavior be customized for each user?
Yes. Permissions, tools, tone, context or sources can vary by identity, role or department.
What is an autonomous agent?
It’s an agent that can chain decisions and actions with less human involvement. Its level of autonomy should match the risk of the process.
When is an agent not a good idea?
When the flow can be handled with simple rules, the margin for error is minimal or the process varies little.
Tell us about the process you want to improve.
You do not need to know which model to use, which architecture you need or whether the problem calls for an AI agent. Tell us how the process works today, who is involved and which tools you use.
We’ll reply within one business day with a first read of your case.