Sensitive data enters the wrong AI tool.
A routine prompt can move customer, employee or company information outside approved systems.
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AI Literacy in Practice
Will your model survive the AI Act?
Give every team the judgment and shared language to challenge unreliable output, stop unsafe data use, clarify ownership and surface weak assumptions before they create rework, delays or lost credibility.
From €79 per learner per year
Where value leaks
AI investment gets lost in everyday decisions.
The company buys tools and launches projects, but each team interprets what it may share, what it must verify, when it should escalate and where the tool stops. The result is repeated review, avoidable delay and less return from AI.
Confident output reaches a customer unchecked.
A fluent answer becomes product copy, advice or a reply before anyone verifies the claim and its source.
A team repeats work legal already reviewed.
The same AI question returns in a new format because the original decision was never turned into a usable rule.
A useful project stalls between functions.
Business, product, legal and security use different tests, so nobody knows what evidence will move the idea forward.
Nobody owns the final AI-supported decision.
The tool produces the output, but approval, escalation and monitoring remain unclear when the consequence appears.
The company cannot show how staff were prepared.
When a customer, auditor or authority asks, scattered awareness sessions do not explain who learned what or when.
The hidden cost
Rework is the tax on inconsistent AI decisions.
One project can look valuable to business, feasible to technology, restricted to legal and risky to security. If those tests only meet near launch, the company pays twice: first for the project, then for the iteration needed to make it usable and defensible.
Business
Valuable
Technology
Feasible
Legal
Restricted
Security
Risky
The tests meet near launch
The company pays twice.
The learning experience
Every lesson asks for judgment.
Learners work through one practical decision at a time, see the reasoning, test their understanding and apply the same method in a final workplace scenario.
Generative AI teacher
Ask the course. Keep the answer inside the evidence.
Course Tutor helps learners clarify a lesson without opening an unbounded chatbot. It answers from the assigned course and approved sources, points back to the material and refuses questions outside its educational scope.
GS
Course Tutor
Try the Course Tutor
Grounded answer
Name the person who reviews the output, can stop the use and owns the final decision before the result affects someone.
Answer boundary
- Assigned course
- Published transcripts
- Approved legal sources
- Learner language
- No employer access
The result
Approve strong AI uses earlier. Stop weak ones sooner.
Five shared questions expose weak assumptions before expensive iteration. Useful ideas reach the right evidence and owner faster, while unsafe or unsupported uses stop before they damage trust.
Built for every team
One workforce. Multiple fully localized learning experiences. One training record.
Lessons, videos, on-screen content, transcripts, quizzes and assessments adapt to each published language while completed lessons and certificate progress stay unified.
- DEDeutsch*Available now
- ENEnglishComing soon
- PT-BRPortuguĂŞsComing soon
- ä¸ć–‡ä¸ć–‡*Coming soon
* AI voice delivery with lip sync.
- Full course experience
- Continuous progress
- One training record
Completion evidence
Keep the record ready when someone asks.
Article 4 requires providers and deployers to take measures that support staff AI literacy in light of their knowledge, experience and use context. The course gives you a structured baseline, an assessment and a named completion record.
A course certificate records completion. It does not by itself prove Article 4 compliance. Your wider programme should reflect roles, systems and real use contexts.
Show who completed what, and when.
Every successful completion creates a verifiable certificate and a company record of the measure taken.
Company rollout
Roll out once. See where adoption stalls.
Import a roster or connect Personio, assign the right people, send individual links, follow completion by team and retrieve every record. We configure the first cohort with you so administration does not become another AI project.
Guided first-cohort setup included
The same operating layer supports every Governance School course.
European-first infrastructure
Control boundaries built for European organisations.
Governance School separates learning content, tenant data and optional AI assistance. Each service has a defined purpose, access boundary and transfer safeguard.
EU
EU regional Tutor inference
Course Tutor uses an EU regional stateless endpoint when enabled, subject to documented Zero Data Retention and contractual controls.
RLS
Tenant-scoped company data
Company records are isolated server-side and protected by PostgreSQL Row Level Security.
10m
Protected course delivery
Assigned media uses short-lived signed access instead of public video URLs.
Role-based access
Separate company and learner permissions
Enterprise sign-on
Tenant-managed SSO support
Admin controls
Tutor access set per course
Audit logs
Security-sensitive changes remain reviewable
Release checks
Policy and security gates before deployment
Jhonathan Campos
AIGP certified · Compliance lawyer · Software engineer
Built in Germany
Law, engineering and AI governance.
Created by a qualified lawyer, software engineer and AIGP-certified AI governance professional. Built to connect legal, technical and operational expectations in one practical standard.
Legal obligations
Technical feasibility
Operational safeguards
Clear ownership
Governance School
Start with literacy. Prove the method on your own reality.
Launch the shared AI literacy baseline, then turn your policies, systems, risks and recurring review questions into training employees can apply.
Available now
AI Literacy in Practice
Teach every function to find valuable uses, challenge unreliable output, and own the final decision.
- 9 modules
- 42 lessons
- 3 h 18 min
- Final assessment
Available now
DSGVO in der Praxis
Turn privacy rules into sound decisions employees make every day.
- 11 modules
- 48 lessons
- German audio
Policy-to-Practice AI Enablement Pilot
Test one real AI decision before a wider rollout.
Choose one process, team or critical AI situation. We turn the relevant policy, system and risk context into a practical micromodule, implement the pilot and deliver participation and completion evidence. You validate the approach before a larger commitment.
Show me a pilot for my use casePlans
Choose the operating support your rollout needs.
Every tier preserves the same practical course. The difference is how much administration, automation, evidence and company-specific implementation your team needs.
From €79 per learner per year
Guided first-cohort setup included
01
Foundation
Essential control for a focused training rollout.
- AI Literacy course
- Final assessment
- Verifiable certificates
02
Compliance
Self-service administration for HR and compliance.
- Assignments and reminders
- Progress by team
- Completion records
03
Enterprise
Training connected to your operation.
- Company-specific courses
- Personio integration
- Governance support
Questions
Know exactly what you are buying.
Bring one AI use case. See the training before you buy the rollout.
Share one AI use case or policy challenge. We will show how Governance School would turn it into a practical workplace decision, then you can decide whether the full course or a Policy-to-Practice pilot fits.
No generic discovery call required. Start with the work.
Booking - Get in touch
Share your goals with us and discover how we can guide you through complex compliance requirements.