Got work that keeps repeating itself? We'll build an AI agent to take it over
- 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
Script, workflow, or agent?
A script is a program with a fixed, hard-coded procedure: it does the same thing every time and never improvises. An AI workflow is a predefined sequence of steps in which a language model handles one part – reads an e-mail, sorts a document, converts text into structured data. An AI agent is given a goal and a set of tools and chooses the order of its steps itself, based on what it discovers along the way.
Of the three, the agent is the most expensive and the least predictable. Anthropic’s measurements show that an agent run consumes roughly four times the tokens of an ordinary chat and a multi-agent system around fifteen times; Gartner expects more than 40 % of agentic AI projects to be cancelled by the end of 2027 because of costs and missing controls. That is why we start with the simplest solution that reliably closes the task and deploy an agent only where the task cannot be solved without one.
Why AI agents are worth tackling right now
The model can now operate your systems
Your data doesn't have to leave the company
Deployment takes weeks, not a year
Sound familiar?
Someone retypes e-mails into the system
You keep answering the same questions
You gather inputs by hand from five places
Not sure whether you need an agent or a script
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
What we can build for you
| 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 |
4 steps to a deployed AI agent
Task and data analysis
Architecture design
Build and evaluation
Deployment and oversight
How we work together
Intro call
Proposal and quote
First working version
Operation and growth
What it costs
Script or simple automation
AI workflow
AI agent and its operation
When an AI agent pays off and when a cheaper solution will do
Frequently asked questions about AI agents and automation
How much does it cost to develop an AI agent?
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.
What is the difference between an AI agent, a workflow and a script?
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.
How do I know whether I need an agent or a cheaper solution is enough?
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.
Which systems can you connect an AI agent to?
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.
How long does it take before the agent actually starts working?
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.
What happens when the agent makes a mistake?
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.
Can the agent make changes in the system itself, or does it only make suggestions?
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.
Which AI models and technologies do you work with?
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.
Where does our agent run, and does our data leave the company?
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.
Who owns the code, prompts and data from the project?
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.
What does it cost to run an AI agent, and how do you keep the cost under control?
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.
What will you need from us at the start of the project?
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.
Who runs the agent and looks after it once it is deployed?
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.
Can the agent be extended to further tasks later?
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.
Will an AI agent replace our employees?
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.
How do I arrange a free consultation?
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.