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Training that reappears in daily work.

Practical AI, security, privacy and development sessions built around real cases.

We design learning around the behaviour that should change afterwards. Internal examples, role-specific exercises, evidence and refreshers turn knowledge into a working routine.

training.service ready
Starting point identifiedLearning goal, roles and transfer
Engagement scope
01

AI literacy

02

Security awareness

03

Secure development

04

Privacy for leadership

05

On-site or online

06

Evidence and refreshers

Your starting point

Signs that training needs to become more practical

We start with behaviour, risk and responsibility, not with a slide deck.

01

Mandatory sessions are endured, not applied

People receive generic slides, complete the evidence requirement and still behave the same in everyday situations.

02

Knowledge does not match the role

Leadership, domain teams, development and operations often receive the same content although they need different decisions and exercise depth.

03

AI is already used without shared rules

Teams use language models in daily work without fully understanding data, sources, approvals, error impact and human review.

04

The transfer is missing after the session

Good intentions disappear when there is no exercise, refresh, ownership or concrete measure for the following weeks.

Professional coverage

From mandatory session to practised behaviour.

We connect AI literacy, security awareness, secure development, privacy and transfer. What matters is not whether people listened, but whether the right behaviour appears in daily work.

Needs

Derive learning goals from risk, role and daily work

We clarify which behaviour should change after training, who decides and which situations actually occur in the company.

  • Roles
  • Prior knowledge
  • Goal
AI literacy

Use AI safely and usefully in daily work

Teams learn to frame tasks clearly, protect data, review answers critically and use AI where it truly supports the domain.

  • Prompting
  • Data
  • Approval
Awareness

Recognise attacks in real situations

Phishing, identity misuse, reporting paths and daily situations are trained with concrete examples instead of abstract warnings.

  • Phishing
  • Passwords
  • Reporting
Development

Practise security in planning, code and operations

Developers and product owners train how requirements, architecture, reviews, testing and operations fit together.

  • OWASP
  • Threat modelling
  • Reviews
Leadership

Train decisions, not compliance theatre

Leaders need clarity on risk, responsibility, privacy, communication and the next decision rather than another generic tool demo.

  • Risk
  • GDPR
  • Ownership
Transfer

Make behaviour visible after the session

Checklists, short refreshers, open questions and concrete measures keep knowledge from disappearing after the next Monday.

  • Practice
  • Checklist
  • Refresh
Learning transfer in detail

Learning only counts when it reappears in daily work.

That is why a workshop does not end with the final slide. Audience, real cases, practice, evidence and refreshers are planned together so knowledge becomes an operational habit.

  1. Phase 1

    Clarify audience and risk

    We separate leadership, domain teams, development and operations when they need different decisions and exercise depth.

  2. Phase 2

    Prepare real cases

    Examples, screenshots, workflows and incidents are anonymised so the workshop can work with real situations.

  3. Phase 3

    Run practical sessions

    Short input alternates with exercises, discussion, decision questions and concrete situations from daily work.

  4. Phase 4

    Secure evidence and transfer

    Participation, content, open points, checklists and next measures are documented so they remain available.

  5. Transfer

    Refresh and improve

    After a few weeks we review what stuck, where uncertainty remains and which second learning loop makes sense.

Decision criteria

Training is viable when audience, cases, practice and transfer fit together. Otherwise it only creates evidence without impact.

Learning goalObservable behaviour is described per role
Practical relevanceOwn cases, systems and decisions are prepared
EvidenceParticipation, content and open points are documented
TransferRefreshers and next measures are planned

What you receive

  • Training goal per audience with prior knowledge and risk context
  • Workshop concept for AI, security, secure development or privacy
  • Exercises using anonymised own cases, roles and decision questions
  • Materials, checklists and participation confirmation
  • Review with open points and recommended next measures
  • Refresh plan for three to six months after the session
Market and decision

What is changing and what to decide first

We assess training by whether it improves decisions, daily behaviour and operational evidence.

Development

AI literacy becomes organisational work

The EU AI Act requires providers and deployers to ensure a sufficient level of AI literacy for people dealing with AI systems. Training therefore belongs with roles, data paths and oversight.

Development

Security awareness becomes more concrete

The German BSI recommends practical everyday situations, reporting paths and clear behaviour. Abstract warnings are not enough when attacks use identities and communication.

Development

Secure development needs practice

OWASP describes typical web risks as recurring patterns. Teams need exercises across requirements, architecture, code, testing and operations, not only lists.

Clarify before commissioning

  • Define an observable learning goal per role
  • Anonymise and safely approve internal examples, screenshots and incidents
  • Separate leadership, domain teams and technical roles when decisions differ
  • Reserve time for exercises, questions and follow-up during the session
  • Document participation, content and open points clearly
  • Plan refreshers and transfer measures after three to six months
From knowledge to behaviour

A controlled path to useful training

  1. 01

    Clarify role and risk

    We identify who needs to learn what, which decisions they make and which situations should change after the session.

  2. 02

    Prepare real cases

    Internal examples are anonymised and shaped into safe exercises, decision questions and checklists.

  3. 03

    Train through practice

    Short input alternates with exercises, discussion and concrete situations from the team's own work.

  4. 04

    Document evidence and next steps

    Participation, content, open points and agreed measures remain traceable for audits and internal follow-up.

  5. 05

    Refresh and measure transfer

    After a few weeks we review what changed, where uncertainty remains and which second learning loop is useful.

Outcome

What changes for your team

1

Less compliance theatre

The session creates practical decisions and behaviour rather than only proof that people attended.

2

Role-based clarity

Each audience gets the depth it actually needs, from leadership decisions to technical implementation.

3

Safer AI and security routines

Teams practise how to handle data, sources, approvals, suspicious messages, incidents and technical risk.

4

A transfer path that remains visible

Checklists, open points and refreshers keep the result alive after the workshop.

FAQ

Common questions about training

Practical answers before planning an internal session.

Is this mandatory training or a workshop?

Both are possible. If formal evidence is required, we document content and participation. The actual format still uses practical exercises and real cases.

Which topics do you cover?

AI literacy, safe AI use, security awareness, phishing, privacy for leaders, secure development, incident response and practical emergency exercises.

Can sessions happen on site?

Yes. Depending on the goal, on-site workshops, live online sessions or a mixed format can work. For team exercises and leadership decisions, on-site is often stronger.

Do you work with our own systems and cases?

Yes, when prepared safely. Anonymised cases, screenshots, typical decisions and familiar tools make training much more effective than generic examples.

How do you handle sensitive cases?

We agree upfront what may be shown, what is anonymised and which details do not appear in materials. Critical incidents can be reduced into realistic but safe scenarios.

Do participants receive confirmation?

Yes. We can document participation, content, date, format and open points. It is not a formal certification, but it supports audits, insurance and internal follow-up.

How do we keep it from fading after two weeks?

We plan transfer tasks, owners and a short refresh after a few weeks. The key is that a behaviour or process can be checked afterwards.

Next step

Turn mandatory knowledge into practised behaviour

We clarify audience, prior knowledge, real cases, exercise format and transfer. You will know which training format is useful and how it can be followed up.

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