Към основното съдържание

AI agents, chatbots and automationon your data

AI that works with your data and systems, not just a chat window.

Price from €3,000 for a pilot project

In short

We build AI agents, chatbots on your documents (RAG) and connections between ChatGPT or Claude and your systems (MCP). A pilot project starts at €3,000 and usually takes three to six weeks. We start with one task that takes people’s time today, and measure it before expanding.

Most companies don’t need an “AI strategy”; they need one manual task fewer. So we look at the process first. Sometimes the answer is plain automation without AI, and then we tell you so.

What it includes

  1. 01Process analysis and choosing the pilot task
  2. 02Preparing and organising the data and documents
  3. 03Choosing the model (OpenAI, Anthropic or an open model) by task and cost
  4. 04Building the agent, chatbot or integration
  5. 05Connections to CRM, ERP, email, website and accounting software
  6. 06Access permissions and an action log
  7. 07Testing with real questions and measuring accuracy
  8. 08Team training and support after launch

What we build

01

AI assistant for your customers

Answers customers around the clock using your prices, terms and stock. When a question is outside its data, it hands the conversation to a person and records the enquiry.

Good for

online stores, hotels, services with many repeated questions.

02

AI on your company documents (RAG)

Staff ask in plain language and get an answer with a reference to the document it comes from. Contracts, procedures, technical documentation, internal rules.

Good for

companies with many documents, law firms, manufacturing, support teams.

03

Connecting AI to your systems (MCP)

We build MCP servers through which ChatGPT, Claude and your own agents work with your CRM, ERP, databases and ad accounts. With role-based permissions and a log of every action.

Good for

teams that already use ChatGPT or Claude and want it to see the real data.

04

AI agents for automation

They handle incoming enquiries, prepare quotes, read invoices and move data between systems. Important steps go through human approval.

Good for

offices with repetitive manual work on emails and documents.

When AI makes sense, and when it doesn’t

If the task is the same every time, plain automation is cheaper and more reliable. AI makes sense when the input is different every time: free text, emails, documents, customer questions. Our rule is to start with the simplest solution that does the job.

AI agents and automation: pricing

from €3,000

The €3,000 starting price is for a pilot with one clearly defined task, for example a customer chatbot or AI on one folder of documents. Use of the AI model is paid separately, directly to the provider, like an ad budget. We give an estimate for it in the quote.

What affects the price

  • 01How many documents and data there are, and in what form
  • 02How many systems the AI has to connect to
  • 03Whether the agent only reads, or also acts: writes to systems, sends emails
  • 04How many languages it has to work in
  • 05Security requirements and where the data is stored
All prices

How it works

  1. 011 week

    Choosing the task

    We talk to the people who do the task today and agree how success is measured: hours saved, response time, errors.

  2. 021–2 weeks

    Prototype on your data

    A working prototype on your real documents or data, which you try yourself.

  3. 032–3 weeks

    Pilot

    Your team uses it in daily work. We measure accuracy and time saved.

  4. 04Ongoing

    Rollout and expansion

    We roll it out to everyone and add the next task if the first one has paid for itself.

Data and security

  1. 01Your data can stay in the EU, on cloud in a European region (AWS or Azure).
  2. 02With the OpenAI and Anthropic business APIs, data is not used to train the models by default.
  3. 03Each user sees only what they have access to.
  4. 04Every action the agent takes is logged and can be checked.
  5. 05We sign a GDPR data processing agreement.

Projects we have delivered

MCP for Google AdsAn internal tool through which AI analyses and manages ad campaigns.

Common questions

Technologies

  • Python
  • FastAPI
  • MCP
  • OpenAI API
  • Anthropic Claude API
  • PostgreSQL
  • AWS
  • Azure
  • Next.js

Have a task that takes hours every week?

Describe it in two sentences. Within 24 hours we will tell you whether AI makes sense and what it would cost.

Describe your task

Other services

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