AI · Automation
AI as part of an automated business process.
AI isn't a separate tool but a step in the process: it triggers itself, processes the data and hands the result to the next step.
When clients usually bring us in
- staff hunt for information across documents
- documents are reviewed by hand
- support answers the same questions repeatedly
- you need classification or data extraction
- you want AI inside the business process, not beside it
AI isn't always the right answer
If plain automation solves the process, we don't add AI because it's fashionable. We'll tell you where AI pays off and where it doesn't.
What this means for you
- Less time spent looking for information.
- Less manual retyping of data.
- Faster processing of documents and requests.
- More consistent answers from your team.
- A clear trail of where each answer came from.
Problem → solution
A typical flow
What this page covers
We bring AI only into the steps where business rules are not enough: understanding documents, classifying content, summarising, recognising intent or drafting proposals. Deterministic steps, approvals and data transfers stay under classic automation.
How we design the AI
Use case
We start by defining which decision or step the AI takes over, and where it must stop.
Data
We map sources, quality and access. Without organised data, AI cannot produce a dependable result.
Architecture
We choose the model, the retrieval approach and the point where AI plugs into the existing process.
RAG, agents, tools
The agent uses your systems through their APIs, within the permissions you define.
Keeping AI in control
Guardrails
What the AI may and may not do, when it must ask a person and when it stops the process.
Human in the loop
A person approves the sensitive steps. Each approval is logged together with the reason.
Evaluation
Regular checks on sample sets, so we notice when answer quality drifts.
Monitoring and cost
Tracking success rate, failures and cost per task, with alerts when something deviates.
Related work
FAQ
Does our data go into a public model?
No, unless we explicitly agree to it. You define the access and the boundaries.
What if the AI gets something wrong?
A person approves sensitive steps, every step is logged and can be replayed.
When is AI not the right answer?
When plain automation or a system integration solves it. We say so up front.
Tell us what you need
A few sentences are enough: what you need, for which process or system and by when. We will reply by email.
Related solutions
Sounds like your project?
Send us the project description, your existing system, the tender documents or the event date.
Or email info@epix.si