Start with literacy
Choose this if the team lacks a shared understanding of AI, risk, and capability boundaries.
Services
Three services, one progression: literacy, structure, then implementation.
AI Educator is not structured as a generic consultancy menu. The services are designed to help Luxembourg SMEs move from vague interest and confusion toward a narrower, better-defined next step.
How To Choose
Lower the decision burden by starting from the current bottleneck.
Most buyers do not need to compare every service in depth. They need a fast way to recognise the right entry point.
Start with problem structuring
Choose this if the organisation feels workflow pain but still cannot define the right use case clearly.
Start with advisory
Choose this if the workflow is already understood and the next question is implementation scope.
AI Literacy And Compliance Training
Give teams enough literacy to use AI responsibly and productively.
This service helps organisations build a practical understanding of what AI can do, what it should not do, and where literacy becomes a compliance as well as capability issue.
Typical trigger
Best starting point if the organisation is using AI tools already but still lacks a common understanding of risk, value, and appropriate use.
Who It Is For
- SMEs introducing AI tools into daily work
- Teams that need a shared baseline before adoption decisions
- Organisations responding to AI literacy obligations under the EU AI Act
What Problem It Solves
- Teams use AI tools without a shared mental model
- Managers struggle to set realistic expectations and guardrails
- AI usage grows faster than internal understanding
What Is Included
- AI literacy workshops for business teams
- Practical explanation of capability boundaries and limits
- Role-based guidance on safe and effective use
- Human-review and operating-risk discussions grounded in real workflows
Typical Outcome
- A clearer internal language for discussing AI
- Lower confusion around what should or should not be automated
- A stronger basis for readiness assessment or implementation scoping
Workflow Diagnosis And Problem Structuring
Turn vague bottlenecks into a visible problem model.
This is the core differentiation layer. The work focuses on understanding who is involved, how the workflow actually behaves, where decisions and handoffs break down, and where AI may or may not fit.
Typical trigger
Best starting point when the business knows something is inefficient, inconsistent, or slow, but does not yet have a trustworthy definition of the problem.
Who It Is For
- Operations leaders facing repeated bottlenecks without a clear root cause
- Teams that know they have friction but cannot define the right use case
- Businesses that want clarity before committing to automation spend
What Problem It Solves
- Use-case hunting without enough process visibility
- Conflicting stakeholder views of what the real problem is
- Repeated workflow friction that remains anecdotal rather than structured
What Is Included
- Workflow mapping and structured diagnosis
- Actor, handoff, and decision visibility
- Pain-point decomposition and opportunity framing
- A first-pass view of where AI support is plausible
Typical Outcome
- A shared representation of the business problem
- Clearer prioritisation for next-step interventions
- A stronger basis for workshop, readiness, or scoped solution work
AI Automation Advisory
Scope narrow, defensible automation opportunities from a structured base.
This service translates an already-mapped problem into scoped implementation options. The emphasis is on narrow opportunities, human-in-the-loop design, and realistic operating constraints rather than broad AI ambition.
Typical trigger
Best starting point once the problem is visible and the organisation is ready to discuss actual intervention options.
Who It Is For
- Teams that already have a defined workflow and now need implementation direction
- Organisations that want to move beyond experimentation carefully
- Leaders who need advisory support on sequencing and boundaries
What Problem It Solves
- Jumping into implementation before defining safe scope
- Over-automation risk in high-judgment or high-trust processes
- Lack of a practical implementation path after diagnosis
What Is Included
- Opportunity scoping and sequencing
- Human-in-the-loop design considerations
- Implementation boundary definition
- Practical next-step advisory for pilots or service design
Typical Outcome
- A narrower and more defensible first implementation path
- Clearer separation between support tasks and human judgment tasks
- Reduced risk of investing in the wrong automation layer first
Next Step
Not sure which service is the right entry point?
The safest path is usually to discuss the current workflow situation first, then decide whether literacy, structuring, or advisory work is the right immediate move.