Developing augemented humans, not assisted employees
Moving from a tool-based logic to a "usage deisgner" mindset
Artificial Intelligence is profoundly transforming how we work, decide and learn. At Aneo Institut, we have chosen to train both in AI and with AI to develop skills that are sustainable, responsible, and directly applicable in real work situations. Our ambition is to make AI a lever for transformation rather than an end itself :
- Develop awareness rather than dependency
- Strengthen discernment rather than automation
- Evolve pratices rather than multiply tools
What is cognitive design?
For us, value does not com from AI itself, but from how it is used.
Rather than stacking use cases, we help people step back, structure their relationship with AI, and develop lasting habits that can be directly applied in their day-to-day work.
In this perspective, we support them in adopting a "usage designer" mindset, structured around 5 steps: intention, exploration, interaction, discernment, and anchoring.
"The challenge of AI is not only technological, it is cognitive, human, and action-oriented".
Training in AI: developing key skills in the age of AI
Practical training programs, grounded in real work situations and immediately applicable. Our learning paths are built around four core competencies :
Cirtical thinking : secure decision-making, identify biases, maintain intellectual autonomy
Communication : clarify intentions, master prompting, produce high-quality content
Creativity : explore, arbitrate, turn abundance into relevant solutions
Collaboration : work effectively in AI-augmented team
Training with AI: designed augmenteg learning experiences
AI becomes a true learning co-pilot, enhacing both effectiveness and engagement. We support learning & development teams in transforming their practices through AI :
Content : create AI-assisted learning materials
Learning paths : personalize learning and adapt modules
Agents : support learners through conversational interfaces
Simulations : immerse users and enable hands-on practice
Assessment : measure and track acquired skills
What if you made AI a transformation lever ... rather than just a tool?
We support you to: :
- Structure your AI & learning strategy
- Design programs tailored to your challenges
- Experiment and scale solutions
Case study
MNT commissioned us to asses AI's ability to generate interative learning simulations capable of strengthening learner practice and complementing traditional training formats.
This initiative also aims at informing MNT's future decisions regarding the integration of AI into its learning systems.
Responsible AI
We leverage AI as a learning accelerator, with a high level of rigor across ethical, pedagogical, and operational dimensions.Each solution is designed in strict compliance with regulatory frameworks (notably French GDPR), with particular attention to : data protection, transparency of use, control over content. Our systems inegrate mechanisms for: source traceability, information verification, bias limitation.
This ensures reliable, contextualized, and pedagogically relevent content.
The technical architectures implemented (secure knowledge bases, processing pipelines, response supervision) guarantee a hig level of quality, robustness, and auditability.
This approach is grounded in a clear and evolving ethical framework shared by all our teams, based on four core principles: real pedagogical value, explainability of outputs, system security, equitable access to knowledge.