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About AI Workshop

AI capability is built where business, technology and people meet.

We help teams turn scattered AI experimentation into safe, repeatable ways of working—with clearer judgement, practical skills and the confidence to keep improving.

Hands-on facilitation · real workflows · responsible adoption
01 / Hands-on facilitation · real workflows · responsible adoption

Why we exist

Tools change. Good judgement compounds.

Our measure is not attendance. It is what changes on Monday morning.

AI Workshop was created to close the gap between having access to powerful tools and knowing how to use them well. We design learning around the work people actually do, the safeguards their organisations need, and the decisions teams must own after the workshop ends.

AI and innovation practice
2019
Connected disciplines
03
Goal: better work
01
George Raymond-Alshoufi, founder and lead facilitator of AI Workshop

George Raymond-Alshoufi

Founder · lead facilitator

View George’s LinkedIn profile

The person behind the method

One facilitator. Three connected disciplines.

George Raymond-Alshoufi combines technical execution, business judgement and human-centred facilitation. The credentials matter because each one strengthens a different part of responsible AI adoption.

George

Founder · lead facilitator

  1. 01

    Business

    Choosing valuable use cases, shaping strategy and connecting AI to measurable organisational outcomes.

    Evidence and experience

    • MSc Innovation & Entrepreneurship · HEC Paris
    • MIT Sloan · AI for Business Strategy
  2. 02

    Technical

    Understanding systems, software, data and agentic workflows deeply enough to make credible decisions.

    Evidence and experience

    • PGCert Computer Science · University of Essex
    • 10+ years · Software and digital products
    • PSPO II · Scrum.org
  3. 03

    Human

    Designing learning, coaching and facilitation that turn uncertainty into responsible action.

    Evidence and experience

    • ICF Certified Coach · International Coaching Institute Geneva
    • Facilitation · Learning and team adoption

How the work happens

Designed for adoption, not attendance.

Every engagement is built around four conditions that make new capability stick.

  1. 01

    Strong foundations

    so the learning stays relevant as tools evolve

  2. 02

    Mindset and confidence

    so people feel capable instead of overwhelmed

  3. 03

    Autonomy

    so teams keep progressing without relying on one "AI person"

  4. 04

    Real application

    so AI improves everyday work, not just knowledge

Our point of view

Practical by design. Responsible by default.

  1. 01

    A workshop, not a lecture

    This is not conventional learning. It's an interactive, hands-on workshop designed for real adoption: not just information.

    Participants learn by doing: brainstorming, practicing with real workflows, and applying AI in a way that improves how they work day to day. It's engaging, practical, and designed to create lasting impact.

  2. 02

    AI is for everyone, not just IT

    While software engineers and IT teams play an important role, the biggest value of AI comes from the people using it daily across HR, operations, and business functions.

    Many IT professionals are sceptical for valid reasons such as privacy, compliance, and data protection. That's why we focus on strong foundations first, so teams can use AI safely, responsibly, and with clarity.

  3. 03

    Who it's for

    AIWorkshop is designed for teams who want practical outcomes, especially HR, operations, and business functions working with high-volume tasks, sensitive communication, and complex workflows.

    Whether your team is new to AI or already experimenting, we meet people where they are and give them a clear path forward.

The promise

People should leave ready to do better work—not merely knowing more about AI.

We want people to leave our workshops with something concrete: clearer understanding, better workflows, more confidence, and a positive impact at work and beyond.

Most importantly, we want people to attend because they want to, not because they have to.

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