Every role has its own AI.
A modular, hands-on program for responsible AI adoption in operations. Everyone starts from the same foundation, then applies it differently — to their role, their decisions, their industry.
A.01
What you leave with
Results first. Each track ends with something the participant can do and something the group hands over.
EXECUTIVES
You can decide where AI creates value, what it costs and what it needs, and set the rules for it.
THE GROUP PRODUCES
A decision framework for AI investments and the company's first AI priorities.
MANAGERS
You can pick and prioritise the use cases in your area and redesign a core process with AI.
THE GROUP PRODUCES
A prioritised list of use cases and at least one redesigned process, ready for a pilot.
TEAMS
You use AI on your own tasks, check what it produces, and configure and run agents safely.
THE GROUP PRODUCES
Working prompts for real tasks and at least one improvement taken into daily work. Citizen developers: a registered, documented agent on their own process.
A.02
Three tracks, three targets
Executives
AI for strategic leadership
Target: understand & decide
- Where AI creates value, what it costs, where it stops
- How agentic AI changes the company's capabilities
- Decision frameworks for AI investment
- Governance, risk, security and confidentiality
How we work: concepts in business language, real cases, live demos of what AI can do today.
Specialisation of the Teams track
Citizen developers: business people who build their own agents
Target: build fast and go live governed
- Build an agent on your own process, without being a developer
- Test it on real cases, with the exceptions only you know
- Register it and take it through approval from day one
- Know what data you may touch and when a human must be in the loop
- Document it so someone else can take it over
- Measure the time it saves, to know if it's worth scaling
This is where the Academy and Enterprise Agentic OS meet: people learn to build fast, and governance is part of building, not an afterthought. The program works with whatever platform the company uses; Enterprise Agentic OS is an option, not a requirement.
Managers
AI for operational acceleration
Target: translate & implement
- From strategy to concrete operational change
- Find and prioritise the high-value use cases
- Redesign at least one core process with AI
- Lead the team through change and approve its proposals
How we work: mini-labs on your processes, guided demos of agentic workflows.
Teams
AI for everyday performance
Target: apply & improve
- Prompts that work on real work situations
- Checking output: errors, hallucinations, bias
- Configuring and running AI agents
- Data protection and concrete improvement proposals
How we work: exercises on your own tasks, homework you use at work the next day.
↓ includes the Citizen developers specialisation
A.03
How it runs
Learning doesn't stop on the last day of the course. Every program has four stages, so people end up working differently rather than just ticking off a training.
1–2 days
per stage
At your premises
on your own processes and data
Up to 12
participants per group
Romanian or English
your choice
01 · 1–2 days
Pre-work
Together we choose the processes and cases to work on.
Calendar. The four stages add up to 4–8 days of activity. They are spread over several weeks, so each team applies what it learned before the next stage; we set the calendar together with you.
02 · 1–2 days
Intensive delivery
Role-based sessions, with labs on participants' real tasks.
03 · 1–2 days
Post-work
Each team carries at least one improvement into daily work.
04 · 1–2 days
Mentoring
We come back after the program so the change sticks.
A.04
What the company receives
A deliverable, not a promise: the AI Literacy Dossier, handed over at the end of every program.
Who was trained
Participants and roles, by track, with dates.
Why it matters. Article 4 of the EU AI Act, as amended by Regulation (EU) 2026/1744 (in force since 27 July 2026), asks companies to take measures to develop AI literacy among their staff. The dossier documents those measures; it does not replace a legal compliance review.
What they learned
The content of each track, the cases worked on and the assessments.
What changed
The improvements each team took into daily work and the agents registered by citizen developers.
A.05
Beyond training
A secure local AI environment
Practise during the program and after, on a model installed on your premises, with no data leaving the company.
One-to-one advisory
Sessions for executives and key teams: use-case validation and implementation guidance.
Change and culture
Change-management frameworks and a culture assessment for responsible AI use.
A.06
The full journey
The program is bought on its own and ends with its own deliverables. If you want to go further, we can stay with you until there are results in operations.
01
Assessment
Where the company stands: strategy, people, data, governance.
Consulting
02
Program
Academy tracks, for the roles that matter now.
The AI Academy
03
Use-case selection
Ideas from the program, prioritised by value and risk.
Consulting
04
Pilot
The first cases, taken to a measurable result.
Consulting
06
Scaling
What works reaches the whole company.
All three