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Use case co-creation

A structured co-creation workshop designed to help organisations understand what AI can do for them, identify relevant use cases and define a clear roadmap for AI adoption.

What it is and why it matters

Many organisations recognise the potential of AI but struggle to translate that ambition into concrete, prioritised next steps. Without a clear picture of where AI can add value — or internal alignment on how to proceed — initiatives can stall before they begin.

The Use Case Co-creation service, led by LIST and Luxinnovation, addresses this challenge through a full-day, structured session that combines awareness-building with hands-on co-creation. By bringing together key stakeholders and guiding them through a rigorous prioritisation process, the service helps organisations move from uncertainty to a clearly defined AI adoption roadmap.

How can Luxembourg AI Factory help 

We facilitate a structured co-creation process that builds internal awareness of AI's potential and helps your team identify, define, and prioritise the use cases most relevant to your organisation's context and objectives.

This allows you to engage your teams meaningfully, align stakeholders around a shared vision, and leave with a concrete roadmap ready to move into implementation.

What you can expect 

  1. Preparation and contextualisation
    An initial call and questionnaire to understand your organisation's processes, challenges, and objectives before the session, ensuring the day is focused and relevant.
  2. Inspiration and co-creation session 
    A full-day workshop comprising a presentation of your processes, an inspiration session on AI capabilities, and a structured co-creation exercise using a Use Case Canvas and prioritisation scoring methodology.
  3. Restitution and roadmap
    A follow-up call or meeting to share the results of the session and define a concrete AI pilot implementation roadmap tailored to your organisation.

Who it is for

This service is intended for SMEs, large companies, public administrations, and startups that want to adopt AI but are not yet clear on how to proceed — particularly where internal teams may lack alignment or awareness of what AI can realistically deliver.