European servers · Based in AmsterdamAI training for education
Educational institutions face two AI questions at once: what to do with AI in teaching, and what to do with AI in their own operations. We address both.
The AI literacy obligation applies to organisations like
Workload, Assessment policy, Equal opportunity, Governance pressure.
Students are already using AI. The question isn't whether you allow it, but whether your teachers and exam board can assess it with a sound basis, and whether the board can account for the policy.
- Workload
- Assessment policy
- Equal opportunity
- Governance pressure
Where AI in education really saves time.
No generic promises. These are the processes we start with, and what they deliver.
Assessment and grading policy
A workable framework for what is and isn't allowed per assignment type, instead of a ban nobody enforces.
Feedback on work
A first round of feedback on submitted work, after which the teacher goes deeper instead of starting from zero.
Differentiating teaching material
The same material prepared at three levels within one lesson, instead of an evening's work.
Education administration
Absence letters, parent correspondence and reports drafted from existing records.
Accreditation and review visits
Self-evaluation and source pack compiled from existing documentation, with a reference per criterion.
First-line student questions
Questions about timetables, regulations and procedures answered directly from your own student guide.
Grant and funding files
Applications and accountability reports prepared against current schemes.
AI literacy in the curriculum
A module that teaches students to use AI and to distrust it, developed together with your teachers.
One organisation, three levels.
The EU AI Act expects the level to match the role. So we don't train everyone the same way: a baseline level for everyone who uses AI, a deeper level for those who apply AI in decision-making or customer contact, and a governance level for those who decide which systems come in.
How this meets the AI literacy obligation →- Executive board and management
- Teachers and teaching teams
- Exam boards
- Learning designers
- IT and information management
- Data protection officer
Vocational education institution with multiple locations
Programme in two tracks: an organisation-wide AI literacy foundation for all staff, and an in-depth route for teachers and exam boards on assessment and grading in an era where students use AI.
2
learning tracks: operations and education
1
documented AI policy for the whole institution
What educational institutions pay this from
Usually from professional development funds, workload-reduction funds or the institution's own training budget. For operations and support staff, the SLIM scheme is often usable; we provide the substantiation needed for the application.
All budgets and subsidies at a glance →GDPR-proof, within the EU
Everything we build runs on European infrastructure, with data isolation per organisation, audit logs and the right to erasure. Your data is never used to train third-party models, and decisions with consequences always rest with a named human.
How we guarantee that →Three AI agents, ready to use.
Every training comes with three ready-made AI agents, chosen for your sector and set up around the way you work. They're live the moment the training ends, with no implementation project and no extra invoice.
Feedback Assistant
Gives a first round of feedback on submitted work using your own grading criteria, after which the teacher goes deeper instead of starting from zero.
Parent Correspondence Agent
Drafts absence letters, progress updates and parent correspondence from existing records, ready for review.
Student Guide Search Agent
Answers student questions about timetables, regulations and procedures from your own student guide, with a reference to the source.
All agents run on European infrastructure, never use your data to train third-party models, and hand every decision that matters to a named person.
Frequently asked questions from education.
The questions that come up first in this type of organisation: the legal obligation, procurement, privacy and where to start.
Yes. An educational institution that uses AI in its operations or teaching is a deployer under Article 4 of the EU AI Act and must ensure an adequate level of AI literacy among staff. The obligation applies to staff; what you teach students is education policy, not a legal requirement under this article, though in practice it's hard to do one without the other.
A blanket ban rarely works in practice, because it's unenforceable and ignores the differences between assignment types. We help exam boards set up a framework that specifies, per assignment type, what is allowed and how it's assessed, including assignment types where AI use is explicitly part of the learning objectives.
Student data is personal data and doesn't belong in a random public AI tool. In our programmes we document which systems are permitted and what data may go into them; what we build runs on EU infrastructure with data isolation per institution. The data protection officer is at the table from the start.
Both, in two tracks. Support staff and operations get the organisation-wide foundation; teachers and exam boards additionally get an in-depth route on education, assessment and grading. That distinction isn't a luxury: the EU AI Act expects the level to match the role.
Further reading
- AI literacy under the EU AI ActWhat the AI literacy obligation actually requires, and what dossier you need to be able to show.
- What does AI training cost?Starting at €495 per person, and what determines the final price.
- Spending your innovation budgetWhich pots you can pay from, and which subsidies you can stack on top.
Two ways in.
Answer a few questions and get a number now, or skip straight to a person. Both end up in the same place.
50+ organisations helped · 3,000+ people trained
We love AI, but it's nice to talk to a human.
No bot, no ticket queue. A person reads this and answers within one working day, usually with a free 30-minute assessment of where AI would actually save you time and money.
