Got work that keeps repeating itself? We'll build an AI agent to take it over

We build AI agents, AI-powered workflows and scripts connected to language models. We hook them up to your e-mail, ERP, accounting, e-shop and internal databases, and deploy them with limits, a log of every step and human approval wherever your data changes.
  • We map the task and propose the right architecture – a script, an AI workflow, or a full agent
  • We build it, connect it to your systems and test it on twenty real cases
  • We deploy it with limits, logs and approvals, so no error ever slips out unnoticed
Free consultation on your AI agent
Tell us which task you want to automate and which systems you use today. Within 5 working days you'll receive a proposed solution and an indicative estimate of scope and price.
No obligation. Written proposal within 5 working days. Prefer to call? +420 555 333 158

Why AI agents are worth tackling right now

Language models have learned to use tools reliably: query a database, create a record, send an e-mail. That turned chatting into work that can be assigned and checked. What used to take months of development, we now build in a matter of weeks.

The model can now operate your systems

An agent doesn't just reply with text. It gets a set of tools – a database query, creating an order, sending an e-mail – and uses only the ones you give it. Whatever isn't in the set cannot happen.

Your data doesn't have to leave the company

We can build the agent on a model running in your own environment or in a European cloud, so sensitive documents and personal data never leave your premises.

Deployment takes weeks, not a year

You see the first version running on your real data within a few weeks. Only then, based on measured results, do you decide how far to take the project and what else to hand over to the agent.
10
years automating business processes
6
years of experience with language models
30
days to the first working version
5 days
to a proposal and quote

Sound familiar?

These are the four situations we hear from companies most often. Each of them can be taken over by an agent or an AI workflow.

Someone retypes e-mails into the system

Orders, enquiries and invoices land in a shared inbox and a person keys them into the system by hand. The same every time, with the same risk of a typo.

You keep answering the same questions

Customers ask about delivery dates, availability and order status. The answer is in the system, but someone has to find it and retype it into an e-mail.

You gather inputs by hand from five places

Before you prepare a quote or a report, you open the e-shop, the accounting system, a spreadsheet and two folders on the drive. An hour of work that repeats every week.

Not sure whether you need an agent or a script

Vendors offer an agent for everything. Yet some tasks are solved more reliably by a cheaper script. The difference in running costs is several-fold, and you're deciding without the facts.

They trust us

Continental  ·  Hyundai Motor  ·  Groupon  ·  Union of Towns and Municipalities of the Czech Republic  ·  Technology Agency of the Czech Republic  ·  Datasys  ·  Spokar  ·  Slovak Athletics Federation  ·  Energy Centre of the Ústí Region  ·  VŠÚO Holovousy

and dozens of other Mediatoring.com clients

What we can build for you

From a simple script with a single model call to an agent with its own set of tools. Examples of typical solutions:
Type of solution What it includes Benefit
Custom AI agent A model with its own set of tools that chooses its own steps – it looks things up, verifies them and prepares a proposal for approval Handles cases that can’t be described in advance
AI workflow A fixed sequence of steps in which the model handles one part: reading a document, classifying it, converting it into structured data Predictable runs at a fraction of an agent’s cost
Scripts and AI integrations Connecting the model to e-mail, ERP, accounting, e-shop or a database via API, including error handling and limits Routine work runs unattended, the same way every time
Document data extraction Invoices, delivery notes, contracts and forms converted into structured data and verified against your records No more manual retyping
Assistant over company data An agent that searches your documents and systems, answers with a link to the source and hands over to a person when in doubt Fast answers without made-up facts
Multi-agent systems and orchestration Several agents with divided work, controlled by fixed code, with a cap on the number of steps and spend Complex tasks without runaway token consumption
The examples are illustrative. The actual scope and shape of the solution always follow your processes.

4 steps to a deployed AI agent

The process is refined over dozens of projects. You know in advance what each phase produces and what we need from you.

Task and data analysis

We go through how the task runs today, how many cases you handle a day and where it breaks. We collect twenty real examples, including the unusual ones.

Architecture design

We decide what will be a script, what an AI workflow and what an agent. For every step we define which tool performs it, what verifies its result and who approves it.

Build and evaluation

We build the solution and run it through an evaluation set made from your data. We measure the success rate before anything goes live.

Deployment and oversight

We deploy with a cap on steps and costs, a log of every tool call, and a human at the end of anything that changes data.

How we work together

You know in advance what you'll get and when. We always start with a no-obligation call.
15 minutes

Intro call

We discuss which task you want to hand over, how many cases you handle a day and which systems you use today.
within 5 days

Proposal and quote

You receive a description of the solution, scope of work, timeline and price. In writing, with no obligation.
within 30 days

First working version

For smaller tasks you have a prototype within a month, running on your real data and ready to be measured.
ongoing

Operation and growth

We run the agent, monitor its errors and running costs, and gradually hand it more tasks.

What it costs

The price depends on the number of tasks, how demanding the integration with your systems is, and how well the brief is prepared. The initial consultation and the proposal are free.

Script or simple automation

One task, one integration, the model in a single step. Typically in the low thousands of euros.

AI workflow

A multi-step process with checks against your data, connected to e-mail, ERP or e-shop, including evaluation and deployment.

AI agent and its operation

An agent with its own set of tools, limits and logging – including long-term operation, cost oversight and further development.

When an AI agent pays off and when a cheaper solution will do

Get a free consultationSee our projects

Frequently asked questions about AI agents and automation

It depends on how many systems the agent has to work with and how well the brief is prepared. A simple automation of a single task typically costs in the low thousands of euros; an agent with its own set of tools, an evaluation set and integrations with company systems costs more. During the initial consultation we go through your brief and send a written quote with scope of work, timeline and price. Neither the consultation nor the proposal costs anything.

A script is a program with a fixed, hard-coded procedure: it does the same thing every time and never improvises. A workflow is a predefined sequence of steps in which the model handles one part – for example it reads an e-mail and converts it into structured data. An agent is given a goal and a set of tools and chooses the order of steps itself, based on what it discovers along the way. Each of the three architectures has a different price, speed and level of predictability, so the choice is not cosmetic.

An agent pays off where the next step is decided only by what is discovered along the way, and where the list of possible variants would be longer and more fragile than the description of the goal. If the whole procedure fits into a one-page flowchart with no node that requires judgement over open-ended input, a workflow or a script will do the job – cheaper, faster and more predictably. We analyse the task in the very first step and tell you straight away if an agent is unnecessary.

We connect to e-mail inboxes via IMAP, ERP and accounting systems, e-shops, CRMs, internal databases, spreadsheets and cloud storage – anywhere there is an API or access to the data. Where an API is missing, we work with exports, imports or a direct database connection. What the agent can do is defined by the set of tools it gets from us; whatever is not in that set cannot happen.

You receive a proposal and a quote within five working days of the intro call. For smaller tasks, the first working version runs on your real data within a month. A more complex agent connected to several systems takes longer, but even then we work in stages so you can continuously see what already works and what does not yet.

We plan for it from the start, because an agent usually does not crash – it returns a plausible-looking piece of nonsense. That is why every step has a check against hard data: verification in the catalogue, a control calculation, a comparison with the database. Whatever fails the check goes to a person, together with the reason it was stopped. Every tool call is logged including inputs and results, so for every output you can trace back what it was based on.

That is your decision and it is set separately for every operation. By default we recommend a mode in which the agent completes cases that pass all checks on its own and prepares a proposal for approval for the rest. Operations that change data or go out to a customer stay subject to human confirmation until the measured numbers show it is no longer needed.

We work with commercial models such as Claude, GPT or Gemini as well as open models that can run on your own infrastructure. We build agents in Python and PHP on top of the providers’ APIs, with MCP servers for connecting tools, and – where that is enough – on automation platforms such as n8n or Make. The choice of model is a question of price, latency and data-handling requirements, not fashion.

That depends on what you choose. We can run the agent on your server or in your cloud, with the model running in the EU or directly on your premises. If we use a commercial model, we tell you in advance exactly what is sent to it, and sensitive values can be replaced with placeholders before anything is sent. The processing of personal data is covered contractually.

You do. The source code, prompts, evaluation sets and all data remain yours, and we hand them over together with documentation. We do not lock you into a platform of our own, so you can take the solution in-house or hand it to another supplier at any time.

Running costs consist of the model’s token fees, hosting and our oversight. An agent run consumes considerably more tokens than a single chat question, because at every step the model re-reads the whole history of previous steps. That is exactly why every run has a predefined cap on the number of calls and on spend, and it is terminated when the cap is exceeded. We measure costs from day one, and tasks that do not need an agent are moved to a cheaper workflow or script.

Twenty real examples of the task, including the unusual ones; a person who does the task today and can say when the result is correct; and access to the systems the agent is supposed to work with. None of it has to be prepared in advance – we collect it together in the first step.

We can run and monitor it for you, or hand it over to your IT team with documentation and training. During operation we track the error rate, costs and the cases the agent returned to a human, and fine-tune it accordingly. When the inputs change – say a partner reformats their e-mails – the checks reveal it before it shows up in the output.

Yes, and we recommend it. We start with one task, measure how it performs, and only then add more tools or let the agent loose on neighbouring processes. Extending is cheaper at that point, because the system integrations, checks and logging already exist.

In practice it takes routine off people’s plates and leaves them the decisions. An agent handles retyping, look-ups and preparing inputs, but exceptions and approvals stay with a person – for operations that change data or go out to a customer, that is also a technical necessity. Most often the same team handles a larger volume of work, and there is less overtime spent on routine.

Write to us via the form on this page or call +420 555 333 158. We get back to you within one working day, discuss what you want to solve on a fifteen-minute call, and within five working days you receive a written proposal with a price. Neither the consultation nor the proposal costs anything or commits you to anything.

Related services

System integration

Connecting AI to your ERP, accounting, e-shop and databases via API – the foundation every agent stands on.

AI model training and fine-tuning

When a general model isn't enough: a custom model fine-tuned on your data and run under your control.

AI governance

Rules, risks and AI Act compliance for agents that work with customer data.

Let's talk about your AI agent

Tell us which task you want to hand over. We'll get back to you within one working day and arrange a free consultation – no commitment, no pressure.
We'll reply within one working day. Prefer to call? +420 555 333 158