AI · Data · Dashboards

AI that works. Dashboards that help you decide.

We integrate artificial intelligence and language models along your concrete business processes, automate intelligently and turn scattered data into dashboards that decision-makers can act on. Not technology for its own sake — pragmatic, measurable and built around the value it creates.

Why this matters now

Most companies don't lack data. They lack decisions from it.

Figures live in dozens of systems, reports are assembled by hand, and AI projects stall somewhere between a promising demo and daily operations. The gap is rarely the technology — it is the path from raw data and models to something a team can actually rely on.

In the mid-market in particular, the pattern repeats itself: ERP, CRM, spreadsheets and specialist tools each hold a piece of the truth, but no one sees the whole picture. Knowledge sits in inboxes and documents instead of being usable. And the first AI pilot impresses in the meeting, yet never reaches the people who could benefit from it every day.

We close exactly that gap. As a boutique we work at senior level and connect three things that usually sit in separate silos: integration across your systems, clean data foundations, and AI applied where it genuinely saves time or improves a decision. The result is not a slideshow — it is data you can trust and AI you can put into production.

What we do

From scattered data to decisions and automation.

Three connected disciplines — chosen for the value they create, never for the buzzword.

— 01 / AI & LLM

AI & LLM Integration

We bring language models and AI services to where work actually happens — embedded in your processes and systems rather than as an isolated tool. The focus is reliable, repeatable benefit, not a one-off demo.

  • Document understanding & classification
  • Information extraction & summarisation
  • Assisted drafting & smart search
— 02 / Automation

Intelligent Automation

Recurring, rule-based and text-heavy steps are ideal candidates for automation. We combine clear logic with AI where it adds precision — and keep a human in the loop wherever a decision warrants it.

  • Process & workflow automation
  • Routing, triage & data cleansing
  • Reliable hand-offs between systems
— 03 / Dashboards & BI

Dashboards, BI & Data Warehouse

We consolidate data from your source systems, model it cleanly and present it in dashboards that decision-makers genuinely use. Where it pays off, we build a solid BI and data-warehouse foundation underneath.

  • Dashboards & business intelligence
  • Data warehouse & data modelling
  • SQL & trustworthy reporting

How we work

A pragmatic path to measurable value.

We start small and visible, then scale what proves itself — instead of betting everything on one large programme.

— Step 01

Understand & prioritise

We look at your processes and questions first, not the technology. Together we identify where AI, automation or a clear dashboard creates the most value with the least friction — and define what "success" measurably means.

— Step 02

Connect the data

We bring the relevant systems together — ERP, CRM, databases and specialist tools — through clean interfaces. This is our home turf: dependable integration is the foundation on which trustworthy figures and useful AI are built.

— Step 03

Prove value early

We deliver a focused first result fast: a dashboard that answers a real question, or an AI step that removes recurring work. You see value early and decide on the next step with evidence in hand, not on faith.

— Step 04

Productionise & scale

What proves itself we take into stable, maintainable operation — documented, secure and built to last. From there we extend the data foundation and AI capabilities deliberately, in an order that keeps delivering visible results.

Why IvaltiCare

Integration is in our DNA — and that is exactly what AI needs.

For more than two decades we have owned mission-critical integration and software landscapes. AI and dashboards are only as good as the data flowing into them — and connecting systems dependably is precisely what we have always done. That is why we don't deliver isolated experiments, but data and AI that hold up in real operation.

See where we work →

You work directly with senior people and with the managing director, Daniel Ivanovic — without corporate overhead, junior ballast or ticket loops. We take on projects where our experience truly counts, treat your data with the discretion that demanding sectors expect, and build things to be maintainable still, five years on. No invented metrics, no hype — just dependable delivery.

Frequently asked

Good to know.

Where does AI actually deliver value — and where not?
AI is worthwhile wherever it removes recurring, rule-based or text-heavy work: classifying and routing documents, extracting information, drafting replies, summarising context. It is rarely worthwhile as an end in itself. We start from your processes, not from the technology — and tell you honestly when a clean dashboard or a simple automation is the better answer than a language model.
Does our data leave the company when we use AI?
Not unless you want it to. We design AI scenarios with data protection in mind: clear boundaries on what is sent where, models that can run in your own environment where required, and no training on your confidential data. For demanding sectors we deliberately keep sensitive information inside your own infrastructure.
What do you need from us to build a dashboard?
Access to the relevant source systems and a clear question the dashboard should answer. We take care of the rest: connecting the systems, modelling and consolidating the data, and a visual layer that decision-makers actually use. You receive figures you can rely on — not a pretty chart on top of unclear data.
Do we need a data warehouse before we can start?
No. Many initiatives begin with a focused dashboard on top of existing systems. Where it pays off, we add a clean data foundation — a consolidated data warehouse or BI layer — step by step. We build only what creates value, and in an order that produces visible results early.
What does a sensible first step look like?
A non-binding, free conversation. You describe a process or a question that costs you time or clarity; we assess feasibility, effort and value, and propose a small, measurable first step. You speak directly with the managing director — not a sales funnel — and you keep ownership of every decision.

Let's talk

Turn your data into decisions.

Tell us briefly about a process or a question that costs you time or clarity. We will assess it honestly and propose a small, measurable first step — usually with a personal reply within 24 hours.