Artificial intelligence
(AI) agent development

An AI agent is a program built on a large language model (such as OpenAI GPT or Anthropic Claude) that does more than answer a question: it carries out the task itself. It reads an email or a document, decides what to do based on your rules and takes action in your systems: it adds a record to the CRM, fills in a spreadsheet or drafts a reply. Simple automation follows a fixed "if A, then B" rule, while an agent can interpret unstructured information, so it fits work where every case is a little different. A good agent hands unclear cases over to a person.

Aigentas builds AI agents from €450. A simple agent (1 process, 1–2 integrations with Gmail or Google Sheets) costs €450–900. An agent with a CRM, email and several decision points costs €700–2,500. Complex agents with 4 or more integrations and memory start at €3,000. AI model usage is paid separately and for a small business usually comes to €5–30/month. I give you a fixed price in writing before work starts, once the scope is clear.

In Lithuania, AI agents are built by independent AI automation engineers, AI agencies, and software developers and ERP integrators. I am an engineer based in Vilnius who builds AI agents, AI solutions and system integrations. Under the Aigentas.lt name I work with companies of 5–50 employees across Lithuania: the agents run in your Gmail, CRM and Google Sheets accounts, prices start at €450 and launch takes 1–2 weeks.

From the first consultation to a working agent: a simple agent (1 process) takes 1–2 weeks. A mid-size agent with 3 integrations takes 3–4 weeks. A complex multi-step agent takes 4–6 weeks. The most common cause of delay is waiting for access to systems, not the technical work. Once all access is granted, the build itself usually takes 3–5 working days.

Yes. Companies with 5–50 employees are my main clients. Small businesses often see the benefit faster because they automate processes that have so far been fully manual and untouched by IT. You do not need an in-house development team or technical knowledge: I handle all the building, integrations and testing, and you work with a result that already runs.

The five most commonly automated areas: (1) collecting new enquiries from your website, email and social media and entering them into the CRM; (2) generating weekly and monthly reports from Google Sheets, Pipedrive or HubSpot; (3) classifying customer service requests and sending standard replies; (4) tracking invoice and payment status and escalating late payments; (5) internal notifications about important business events in a Slack or Teams channel.

RPA mimics mouse clicks on a screen and suits strictly structured system workflows, but it breaks when buttons move or screen layouts change. An AI agent understands unstructured content (emails, PDFs, free-form requests) and can make decisions based on context. For a small business without an IT team, an AI agent is usually the more practical and easier-to-maintain choice, because you do not have to keep fixing screen scripts.

No. I handle all the technical work: the agent logic, integrations, testing and launch. Your team only sees the result: an updated CRM record, a sent email, a new row in Google Sheets. If you like, I can show you how to monitor what the agent does, but that is optional.

A chatbot replies to messages: it talks. An AI agent acts: it reads, decides, updates systems and triggers other processes. A chatbot suits customer service; an AI agent suits internal work (sorting enquiries, updating the CRM, preparing reports).

Yes. The agent works in your own accounts (Google Workspace, Pipedrive, HubSpot and so on), so the data stays where it already is. I use OAuth access with minimal permissions, and you do not need to share any passwords. If we work with personal data, I prepare a GDPR compliance annex to the contract.

I most often connect to Gmail, Google Workspace, Outlook, Pipedrive, HubSpot, Bitrix24, Google Sheets, Excel Online, Notion, Slack, Microsoft Teams, Facebook forms, Stripe, Paysera, MailerLite, Asana and Trello. If your system has an API or works through n8n, Make or Zapier, it can be connected as well.

We start with your message: you describe the process that takes up the most time, and I reply by email. If needed, we arrange a call. Once it is clear what the agent should do, I send you a proposal with the price, timeline and a description of how the agent will work. From you I need access to the systems we will connect and one person in charge.

Yes. After launch I hand over a written guide (how the agent works, where its settings are, how to change the rules) and train your team. You will be able to make the main changes yourselves: new rules, extra recipients, new templates.

An AI agent does not just follow rules; it makes decisions: it understands a free-form email, a PDF or a customer question. That means more time goes into decision logic, testing edge cases and safeguards (when the agent hands over to a person). As a result, an AI agent of the same scope usually costs a bit more than rule-based automation, and AI model usage adds to the monthly costs (usually €5–30/month).