Digital transformation with AI is not only about technology, but above all about people. We help organisations navigate change through systematic team competence development, defining new roles and building a culture of responsible AI use – with measurable results at every stage.
The problem – why AI transformation often fails to deliver results
Solution – transformation through people development
Our approach is to transform competencies, not technology. We build development programmes tailored to roles within the organisation and implement them through microlearning with an AI mentor, we measure progress and issue verifiable micro-credentials confirming new skills.
AI Competence Academy in your organisation
We create dedicated training programmes tailored to roles and processes within the company:
From strategy to measurable results
We work from strategy through implementation to scaling:
Key features and benefits
Alignment with roles and processes
We create training programmes for specific positions in your company. A data analyst learns different AI applications than an HR specialist or sales representative.
The result: teams see immediate value because they learn what they can use the next day at work.
Microlearning instead of long courses
Learning in short sessions (10-15 minutes), integrated into daily work. AI Mentor in Erudis adjusts the pace and suggests repetitions.
Effect: higher training completion rates (fewer dropouts) and better knowledge retention.
Competence verification and micro-credentials
Skill assessment by online exams and publishing micro-credentials compliant with EDC/eIDAS2.
Effect: reliable proof of competence that employees can add to their profiles (LinkedIn, Europass) and that organisations can track in reports.
Responsible AI policy in one place
Instead of chaos in the use of AI, we create a single source of truth: rules, examples, AI usage declarations, attribution templates.
The result: transparency, regulatory compliance, reduced legal and reputational risk.
Reports and analytics for management
Integration with SSO, LMS, and HR systems via API. No need to build everything from scratch.
Result: faster implementation, lower IT costs, better user adoption.
Integration with existing infrastructure
Integration with SSO, LMS, and HR systems via API. No need to build everything from scratch.
Result: faster implementation, lower IT costs, better user adoption.
Authorised external certifications
In addition to internal programmes, we offer authorised AI training (AI Professional Institute, Microsoft AI, AWS) and assistance in preparing teams for external certifications.
Result: industry standards + adaptation to the specific nature of the organisation.
Scaling without loss of quality
The platform architecture allows thousands of users to be served across multiple departments and locations.
The result: the programme works just as well for 50 people as it does for 5,000.
How to get started – implementation process
01
Strategic workshop (1-2 days)
Together with key stakeholders, we identify:
- AI transformation goals (efficiency, innovation, experience?)
- Roles critical to change
- Processes that AI can support
- Current level of competence and gaps
- Programme success KPIs
Result: Competency roadmap and pilot plan.
02
Programme design (2–4 weeks)
We create development paths for selected roles:
- Catalogue of skills and training materials
- Responsible AI policy for organisations
- Examination scenarios and assessment criteria
- Micro-credential project (templates, metadata)
- Rollout and communication plan
Result: Ready-to-use materials and configured platforms (Erudis, Examena, Credentium).
03
Pilot programme (4–8 weeks)
Implementation in a selected group (1-2 teams, 20-50 people):
- Onboarding of participants
- Training sessions at Erudis
- Substantive and technical support
- Feedback collection
- Initial examinations and micro-certifications
Result: Programme validation, recommendations for iteration, internal case study.
04
Scaling (3-6 months)
Extension to other departments and roles:
- Rollout according to schedule
- Real-time progress monitoring
- Monthly reports for management
- Operational support for participants
- Data-driven iterations
Result: An organisation with a system of continuous AI skills development.
05
Maintenance and development (ongoing)
The programme operates in continuous mode:
- Material updates (new AI tools, process changes)
- New paths for new roles
- Competence recertification
- Extensions to partners/customers (optional)
Result: A learning organisation, ready for further technological changes.
Integrations
Key connections to the most important educational systems
Platforms and systems
- LMS (Moodle, Canvas, etc.):ready-made plugin for Moodle and integration via API with other
- SSO/IdP:single sign-on via SAML/OIDC for employees
- HR systems:employee data synchronisation, report export to HRIS
- Microsoft 365: – embeddable in Teams and SharePoint
- TODO: integration with Slack, Jira, Confluence
Compliance and standards
- GDPR:full compliance, data encryption, retention control, event logs
- WCAG 2.1 AA:interface accessibility for all users
- European Digital Credentials (EDC):micro-credentials compliant with the EU standard, recognisable in Europass
- eIDAS:qualified electronic seal on credentials (by Credentium)
Authorised external programmes
- AI Professional Institute – Foundations, Practitioner, Expert, Developer, Law & Compliance, Leadership
- Microsoft AI/Copilot – Microsoft-authorised training
- AWS AI/ML – developer and architecture paths
- See the full training catalogue
Ready for transformation through people development?
Schedule a 30-minute demo. We will discuss your goals, show you the platforms in action, and propose a competency roadmap for your organisation.
Frequently asked questions
The pilot can be launched within 6-10 weeks of the strategic workshop. Full scaling within the organisation (hundreds/thousands of people) usually takes 3-6 months, depending on the number of departments and roles.
No. We can use ready-made programmes (e.g. from AI Professional Institute, Microsoft) or create dedicated materials for your processes and tools. Usually, it is a combination: a foundation of ready-made courses + customisation to the specifics of the company.
We offer SaaS (managed service) as standard. The on-premise model is possible for large organisations with security requirements – it requires separate configuration and higher maintenance costs. Contact us to discuss your options.
We define KPIs at the outset (e.g. % trained, average exam results, number of micro-credentials, time-to-competency, adoption of AI tools in processes). The reporting system in Erudis and Examena provides data in real time. Export to CSV/PDF for the management board.
Yes. Micro-credentials are added to the personal Credential Wallet and remain the property of the employee. They can add them to LinkedIn, Europass and their CV. This increases motivation to participate in the programme.
We prepare teams for external examinations (AI Professional Institute, Microsoft, AWS) as part of the programme or as separate tracks. We can organise examinations at your location or remotely. See authorised training courses.
Yes. In the subscription model, this is part of the agreement (helpdesk, content updates, consultations). In the project model, we can establish an SLA for programme maintenance and development.
We create a document with rules for using AI in your organisation (what is allowed, what is not, how to attribute, how to report problems), examples from your processes and a reporting system.