AI confidence & critical judgement
Understand what AI can and cannot do. Practise asking better questions, checking outputs and recognising when human expertise is essential.
07 / BUILD WITH US
Education and enterprise.
Learning built around people.
London / Geneva / Hong Kong / China
We welcome schools, universities, companies and community organisations in London, Geneva, Hong Kong and China. From a first workshop to an ongoing training partnership, we shape the learning around your people, your context and the challenges you want to explore.
Email us ↗FLEXIBLE FORMATS / CO-DESIGNED WITH YOU
Corporate training is a core part of MOSI. We work with organisations to help people understand AI, make thoughtful decisions about its use and apply it to the work they know best.
WHO IT IS FOR
Teams, managers and colleagues across functions — including people without a technical background. We agree the learning goals with you and adapt the activities to each group’s responsibilities and experience.
WHAT WE WORK ON
Understand what AI can and cannot do. Practise asking better questions, checking outputs and recognising when human expertise is essential.
Map how work moves between people, information and decisions. Identify useful opportunities for AI, while keeping ownership and review points clear.
Try a relevant use case with mentor support — such as research synthesis, internal knowledge sharing or an early service concept. Build a small prototype, test it and discuss the results together.
HOW WE PARTNER
Start with a conversation about your team’s goals and current workflows. Together, we shape a focused workshop or a series of sessions, agree suitable tools and sample materials, and build in time to reflect on progress.
WHAT YOUR TEAM TAKES AWAY
A shared understanding of AI, a mapped workflow, a tested first prototype and an action plan with clear owners and next steps. Deliverables are agreed with you before the programme begins.
Explore corporate training ↗A focused introduction that takes students from a question to a first prototype, with a shareable team project and structured reflection.
Proposed first pilot: 20–40 students, small interdisciplinary teams, tools approved by your institution.
More time for research, prototyping, testing and presentation. Teams leave with a tested prototype, evidence of feedback and a final presentation.
Start with a focused pilot, designed together.