AI & Automation
Every business has repetitive tasks that eat up time, and document archives where finding one piece of information takes minutes that should take seconds. Custom Telegram bots, AI agents and RAG systems for querying internal documents solve these problems with AI applied to real work.
Send a messageThe work covers three distinct areas that often intersect in the same project: Telegram bots that automate communication, notifications, bookings or customer support; AI agents that carry out multi-step tasks on their own — gathering data, making decisions according to defined rules, updating systems — instead of just replying to a single message; and RAG (Retrieval-Augmented Generation) systems that let you query document archives — contracts, regulations, procedures, manuals — in natural language, getting precise answers instead of manually searching through hundreds of files.
These aren't demos or proofs of concept: they're systems meant to be used every day by people working in the business, integrated into existing processes and built to stay reliable over time, not to impress in a presentation.
Who this service is for
- Businesses that want to automate communication, notifications or customer support with a Telegram bot
- Anyone with multi-step, repetitive processes that could be handled by an AI agent instead of manually
- Offices and organizations with large document archives where finding information takes too long
- Teams that answer the same questions about regulations, procedures or contracts every day
- Anyone who wants to bring AI into business processes without building an internal technical team
Frequently asked questions
- What is an "AI agent" and how is it different from a bot or chatbot?
- A bot or chatbot responds to an input with an output, one message at a time. An AI agent carries out multi-step tasks on its own — checking conditions, consulting multiple sources, making decisions according to defined rules and updating systems — with human input only where it's needed.
- What is a RAG system and what is it for?
- RAG (Retrieval-Augmented Generation) is a technique that lets an AI answer questions based on a company's real documents — regulations, contracts, manuals — instead of its generic knowledge. Answers are grounded in internal sources, cutting the time spent searching through files manually.
- Does company data stay private?
- Yes. Documents and conversations aren't used to train third-party models. The architecture is designed to stay within the company's own systems or selected cloud providers, based on the project's confidentiality requirements.
- Can a Telegram bot or an AI agent integrate with the tools I already use (CRM, management software, calendar)?
- Yes. They're connected to the tools already in use — CRM, management software, spreadsheets, calendars — so automations work on the business's real data instead of duplicating it.
- How long does it take to build a bot, an AI agent or a RAG system?
- On average, 1 to 3 months, depending on the project's complexity: a Telegram bot with core features generally takes less time, while an AI agent or a RAG system can take longer depending on the process and the volume of documents involved. A first estimate arrives within 24 hours of describing the project.
- Do I need internal technical skills to use these tools every day?
- No. The goal is to deliver a tool usable by people working in the business without technical skills, with training included at launch.