You cannot adopt AI through improvisation.
We train people in two days, deliver a Findings report with concrete opportunities, then stay available monthly — when you need an expert.
How We Work
Education
Professional AI Use
For anyone who wants to get the most out of AI tools in their personal productivity.
A two-day onsite training tailored to your industry and the tools you already use. Exercises run on your people's real tasks, not generic examples. Within 5 days you receive a Findings report — a list of savings opportunities with hour estimates.
- ✓Diagnostic conversation before the workshop
- ✓Workshop: 2 days onsite (9:00–15:30)
- ✓Findings within 5 days — top 5 opportunities with time-savings estimates
- ✓Confirmation of AI literacy training (AI Act Art. 4)
Consulting
Flexible AI Consulting
For leadership, a project team, or different groups across the company.
A monthly expert engagement: consultations weekly or more often as needed, on topics you choose. Preparation and email answers included. It can follow the Findings report — or be your first contract.
- ✓Consultations weekly or more often as needed
- ✓Expert preparation included
- ✓Answers to simple questions by email (usually within 24 h)
- ✓One-page quarterly summary
Zvonimir Križ
AI Adoption Strategist
Expert
Zvonimir leads AI adoption programs for mid-size and large companies. The work starts with a diagnosis of real processes, then continues with training and — when needed — monthly consulting.
Before founding Adriatech, he spent two decades in environments where mistakes come at a cost — 12 years in banking IT, where he led R&D, and as a Senior Agile Coach at Infobip. From that he carries one rule: technology is the easy part — people and processes decide whether AI is still in use three months later.
Why Now?
AI is advancing week by week, but real-world implementation often lags behind. We bridge that gap — with you in the lead role, delivering results weekly.
What Research Says
Of organizations have moved less than 30% of GenAI experiments into production
Source: Deloitte, 2024
Of companies move beyond the proof-of-concept phase with AI projects
Source: BCG, 2024
Of the engineering workforce will need to upskill by 2027
Source: Gartner, 2024
Of the main barriers to AI deployment are related to risks and governance
Source: Deloitte, 2024