01
Process automation
Invoices, orders and inbound forms read, classified and routed — without a person retyping them into a second system.
- Document processing
- Inquiry routing
- Automated workflows
AI Automation
AI automation
for business processes.
We do not build a chatbot for the sake of it. We automate one repetitive process at a time, inside the tools your team already uses every day.
Runs in your stack
In production, not demo
Your data stays yours
01 / Reality
Most AI projects
never reach production.
Companies run pilots and build proof-of-concepts that never go live. Meanwhile the real cost sits in a task somebody repeats forty times a week, by hand.
That task is where we start. AI automation for business only pays off when it removes work from a named process, on a deadline, inside systems you already run.
01One named process
02Tested on real data
03Hours cut to minutes
04Handed to your team
02 / Capabilities
Where AI automation
actually pays off.
No AI for show and no model training theatre. We build where it removes manual work or shortens a decision that people are waiting on.
02
LLM integrations
A RAG pipeline over the documents your team currently searches by hand — with source citations and access control.
- RAG systems
- Custom pipelines
- Secure deployment
03
Data intelligence
Structured data pulled out of PDFs, emails and spreadsheets, so a report takes minutes instead of an afternoon.
- Data extraction
- Classification
- Predictive analytics
04
AI features in your product
Search, recommendations, natural-language input — built into the product your users already open, not bolted on as a separate tool nobody visits.
- AI features
- Recommendation systems
- NLP interfaces
03 / Our approach
From problem
to production.
We start from the process and who does it today, not from the model. Every step is a place where you can stop before spending more.
Define
We map the process as it runs today, count the hours it costs, and pick the one part worth automating.
Prototype
We test on your real data, not a demo set, and show you what the output actually looks like.
Build & integrate
We build in short cycles and wire it into the systems your team already opens daily.
Launch & improve
It goes live, we watch it for errors in the first weeks, then hand your team the controls and the docs.
04 / The difference
What we will not do
on an AI project.
No strategy deck, no pilot that dies in a folder, no chatbot bolted onto a homepage because a competitor put one there.
Production focus
Designed for daily use from day one, by the people doing the work now.
Data security
You control who has access, where the data sits, and what the model may see.
System integration
It runs inside your current stack. No parallel tool for people to remember.
Measurable results
We agree the metric first: hours saved, errors caught, queue cleared.
Scoping call
Thinking about using AI
in your business?
Describe the task someone repeats every week. We will say honestly whether AI helps — or whether a script and a form would do it cheaper.
- Reply within 24 hours
- Weekdays
- English or Croatian