What is a business AI agent
An AI agent is software that uses a language model to perform a concrete task: read an invoice, classify an email, answer a question from a knowledge base, pull data from a contract. Unlike a plain chatbot it operates inside the process, not next to it.
A good agent has a clearly defined scope, access to only what it needs, and checkpoints where a human can approve or correct the result. It is not a magic box — it is a predictable step in a pipeline.
An agent does not replace a whole department. It replaces repetitive cognitive work: reading, sorting, re-keying, drafting first replies — and hands the judgement calls back to people.
When an AI agent is worth it
When the team reads and re-keys a lot of unstructured content: invoices, emails, forms, PDFs. A classic area where an agent saves hours a day.
When classifying or routing messages eats time: which email is a complaint, which is an RFQ, what is urgent. The agent does it instantly and consistently.
When you have a large knowledge base (docs, procedures, contracts) and people waste time searching it. A RAG-based agent returns an answer with a quote from the source.
When it is not worth it: high-risk tasks with no way to verify, or rules so volatile they cannot be described. We will say so plainly.
What AI agents we build
Document data extraction
Invoices, orders, contracts, forms. The agent recognises fields, validates them against rules and passes structured data on — errors go to a human queue.
Message classification and routing
Emails and tickets are categorised (complaint / quote / invoice / spam) and routed to the right channel or person. No manual inbox sorting.
Company knowledge assistant (RAG)
Ask in plain language, the agent searches your documents and returns an answer pointing to the source. Per-department access control, no leakage.
First-line ticket handling
The agent gathers context, proposes a reply or resolution and escalates to a human when the case exceeds its scope.
Summaries and reports
Long threads, meeting transcripts, document sets turned into concise summaries with key points and action items.
Agents inside automation pipelines
The model as one step of an n8n pipeline: a conditional decision, data enrichment, content generation — with deterministic logic around it.
How to calculate AI agent ROI
Same as automation: cognitive hours the agent saves × hourly rate × frequency per year, minus rollout cost and annual model token cost.
Example: 2 people × 2 h/day reading and re-keying invoices × 220 days × €25/h = over €20,000/year. With a rollout cost in the low thousands, the agent pays back in little over a month.
Second dimension: consistency. The agent classifies and extracts the same at 8am and 11pm, Monday and Friday — no end-of-day quality drop.
Mind the token cost: at high volume we choose models (local open-source vs API) so the unit cost stays predictable.
How a rollout looks at our place
Task audit: exactly what the agent should do, what its input is, what a correct output looks like, where a human approves. Without this the agent encodes ambiguity.
A prototype on your real data — we measure accuracy before anything goes to production. If accuracy is too low, we say so plainly.
Build with human checkpoints and logging of every agent decision — so you can audit why it classified something the way it did.
Rollout, quality monitoring over time, documentation and 30 days of support. Models change — we make sure the agent does not quietly degrade.
Pricing and timelines
Cost is very flexible and depends on scope, the number of integrations and how complex the logic is — most rollouts land between a few and a dozen-or-so thousand złoty (roughly €1,000–4,000).
A single agent with a clear scope is usually the lower end and 3–5 weeks of work; a larger knowledge-base assistant (RAG) with a panel sits at the upper end and 5–8 weeks.
For a well-chosen process the investment usually pays back within a few months. Operating cost (model tokens, quality monitoring) depends on volume — we estimate it in the quote.
Every quote is fixed-price before contract signing.