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Getting started with AI agents

A practical guide for businesses looking to understand and implement AI agents — from chatbots to multi-agent systems.

This guide gives you a concrete overview of AI agents: what they are, when they make sense, and how to get started.

What is an AI agent?

An AI agent is a system that can act autonomously — not just answer questions, but execute tasks. Think of the difference between a chatbot that says “here are the opening hours” and a system that actually books a meeting for you.

Three types of AI agents

1. Conversational agents (chatbots)

The most well-known type. Answers questions based on a knowledge base. Great for customer service and internal support.

2. Task agents

Perform specific tasks: data retrieval, report generation, document processing. Act independently within clear boundaries.

3. Multi-agent teams

Multiple agents collaborating on complex tasks. Each agent has a specialization, and they coordinate with each other.

When do AI agents make sense?

  • Your processes are repetitive and rule-based
  • You spend time moving data between systems
  • Your employees do “copy-paste work”
  • You have data that is not being utilized

Getting started

  1. Identify the process — Start with one concrete, well-defined process
  2. Assess data — Do you have the data the agent needs?
  3. Start simple — Build a prototype, test with real users
  4. Iterate — Expand gradually based on results

Want to learn more? Book a free consultation about how AI agents can help your business.

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