AI automation and AI agents

Every company has processes in which people spend hours reading, copying, checking and transferring information. That is exactly where artificial intelligence delivers the fastest and most measurable return.

What an AI agent is

An AI agent is a program that uses a large language model (LLM) to understand tasks, and tools to carry them out: access to your database, email, CRM, ERP, documents or external services. Unlike classic automation, which follows rigid rules, an agent can work with unstructured information – free text, scanned documents, emails – and make decisions within the limits you define.

Examples of automation

Document processing

Invoices, waybills, contracts, requests and protocols are read automatically, the data is checked and entered into the accounting or ERP system, and doubtful cases are routed to a person.

Incoming mail and enquiries

The agent categorises emails, extracts the key information, prepares a draft reply, creates a task in the CRM and notifies the right person.

Customer service

An assistant on your website, in Viber or Messenger that answers questions based on your documentation, checks order status and, when needed, hands the conversation over to an employee.

Sales

Enriching data about prospects, prioritising enquiries and automatically preparing quotes from templates.

Reports and analyses

Daily and weekly summaries from different systems, written in plain language and sent to management.

Internal knowledge base

An assistant that answers employees’ questions based on internal rules, procedures and documentation (RAG – search in your own documents).

A human in the loop

We design automations so that consequential decisions go through a person: the agent prepares, proposes and explains, and the employee approves. Every action is recorded in a log. You get the speed of automation without losing control.

Security and confidentiality

• your data is not used to train public models – we use business versions with contractual guarantees or models hosted by us;
• if needed, the models run entirely in our data centres in the EU;
• we minimise the personal data sent to the model;
• data protection impact assessment under the GDPR and risk classification under the EU AI Act.

How we start

We start with a short analysis in which we choose together 1–3 processes with the greatest potential. We build a pilot in a few weeks, measure the time saved and the quality, and only then expand. The investment stays small and the result is proven.