AI agent is software that helps business processes run more autonomously, from customer communication to document analysis. See how an Estonian company can use AI agents and how they differ from regular chatbots.
AI agents are no longer just a topic of the future, more and more companies are using them for customer communication, qualifying sales leads, document analysis and automating internal processes. Unlike a traditional chatbot, which follows a fixed script, an AI agent can plan tasks, use different tools and adapt to the situation. In this article, we’ll explain what an AI agent is, how it works and how you can use it in your business.
Table of contents
What is an AI agent?
An AI agent is an artificial intelligence-based software system that can plan and execute multiple steps to achieve a goal. Unlike a regular chatbot, which follows predefined rules, an AI agent works in a more flexible way, analysing the situation, selecting the appropriate tools and performing tasks in natural language.
A simple example: when a customer writes “where is my order?” to an online shop, a normal chatbot will usually provide a predefined answer or direct the person to the order. An AI agent, on the other hand, can check the order in the business software, check the status of the parcel service via the API, compose a response to the customer and register a complaint if necessary. An AI agent is a practical form of automation, if the processes are clearly designed.
How does an AI agent work?
An AI agent usually consists of four main components that help it to perform tasks:
Model (LLM)
A large language model such as GPT-4, Claude or Gemini that understands natural language and helps make decisions. This can be thought of as the agent’s thinking layer.
Memory and context
The agent can use conversation history, user preferences and business data to give more precise answers in subsequent steps.
Tools
APIs, databases, email systems, CRM, ERP and other tools that allow the agent to actually perform actions, not just write responses.
Orchestration
A logic layer that helps decide the order in which to take steps, when to ask for additional information and when to complete the task or hand it over to a human.
AI agent vs chatbot, what’s the difference?
The words “chatbot” and “AI agent” are often used interchangeably, but they don’t quite mean the same thing. A normal chatbot mostly follows a predefined script. An AI agent better understands the context, can use different tools and moves towards the goal in several steps.
- A rules-based chatbot is suitable for simple FAQs, such as opening hours or price list questions. If a question is left out of the script, the chatbot often fails.
- AI chatbots use a language model to formulate responses, but may not be connected to corporate systems. Responds more naturally, but doesn’t always complete the task.
- An AI agent understands the goal, uses tools such as CRM, calendar or email, plans several steps and helps you complete the job. For example, it can book a meeting, qualify a sales lead or resolve a simple customer support issue.
In practice, this means that an AI agent can take over some of the work that previously had to be done manually by a human. At Web Systems, we take your business needs into account when building an AI assistant for your website chatbot or mobile app. Sometimes a simple chatbot is enough, sometimes you need a full-fledged AI agent. Read more about the website building service, where we can integrate a chatbot or AI agent.
Main types of AI agents
Customer support agents
Answer recurring customer questions, search for information in the knowledge base, help resolve simpler issues and route more complex cases to a human.
Sales and marketing agents
Help qualify sales leads, personalise emails, respond in conversations and book meetings in the calendar.
Internal assistants
Support employees with HR, accounting, IT helpdesk or document management, answering based on the company’s internal guidelines and documents.
Data analysis agents
Help compile reports, analyse trends, find anomalies in data and surface information needed by management for decision-making.
Development and code agents
Support developers with writing code, finding bugs, creating documentation and reviewing code. They do not replace a developer, but can speed up the work.
Workflow agents
Automate multi-step processes across different systems, such as the movement of orders from the e-shop to business software and on to logistics.
Which business processes will benefit from AI agents?
AI agents are not a one-size-fits-all solution and will not fit into every process. They are most useful where there are a lot of repetitive tasks, a high volume of manual work and clear rules. The most common use cases are:
- 24/7 customer support allows you to resolve first-level customer issues without human intervention. An AI agent can answer product and service questions, check the status of orders and register complaints.
- Order and query processing helps to automatically classify and route incoming emails or forms to the right department or system. Read more about workflow automation.
- Qualifying sales leads involves an initial conversation with a potential client, qualifying questions and booking a meeting on the calendar.
- Document analysis and reporting allows you to analyse contracts, invoices and reports, and prepare summaries.
- Internal workflows include, for example, confirming purchase orders, processing holiday applications or handling IT helpdesk queries first.
- Personalised marketing helps tailor content and offers based on user behaviour. Read also about marketing automation.
How to deploy an AI agent in your company?
Deploying an AI agent is not just a technical project, it’s a business project where technology is a tool. Successful deployment starts with a specific problem and moves forward step by step:
1. Identify the process
Choose one process where an AI agent could create value quickly. Repetitive, high-volume and clearly describable tasks are a good fit.
2. Choose the architecture
We decide whether a ready-made platform is suitable or whether custom development is needed. The choice depends on the size and goal of the project.
3. Integrate with systems
An AI agent is useful when it has access to the right data and systems.
4. Test and measure
We launch the agent initially in a limited scope and measure the results.
5. Scale and develop
Once the first use case works, the solution can be expanded.
The human remains in charge
An AI agent reduces routine work, but the human remains the decision-maker.
We can draw on over 20 years of software development experience to create custom AI agents. Whether you need a simple chatbot or a more complex system, we can find the right solution.
Tools and platforms for building AI agents
You don’t always have to build everything from scratch to build AI agents. Depending on the complexity of the project, we choose the right approach:
- Language models such as GPT, Claude and Gemini act as an agent’s layer of reasoning.
- Orchestration platforms such as n8n, Make.com and Zapier are suitable for simpler workflows.
- Developer frameworks allow you to build more complex agents.
- Custom development is suitable for business-critical and large-scale solutions.
Read more about AI tools for business.
Limitations and risks of AI agents
AI agents are powerful tools, but there are risks to consider when using them:
- Hallucinations can lead to inaccurate responses.
- Data security and GDPR require a well thought-out solution.
- The unpredictability of costs depends on the volume of use.
- Dependence on services can affect reliability.
- Human supervision is necessary to ensure quality.
Frequently asked questions
What is the difference between an AI agent and a chatbot?
A normal chatbot follows the rules written in advance. An AI agent understands the context, uses tools and completes the task.
How long will it take to deploy?
A simple solution can be ready in weeks, a more complex project can take months.
Will an AI agent replace workers?
No, it helps to reduce the amount of routine work.
Which systems can be interfaced with?
With most systems that have an API.
Is it safe?
Yes, if the solution is set up correctly.
Off-the-shelf platform or custom development?
Depends on the size of the project.
How to get started?
Fill in the contact form and start the consultation.
