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Participants working together during an AI Workshop session in Lausanne
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AI Fundamentals Workshop for confident everyday use

Move from uncertain experimentation to confident, responsible everyday use.

Participants learn which tool to use, how to give useful context, how to check the answer and when not to use AI. The session ends with one workflow they have tested themselves.

Recommended format
Focused workshop · 4 hours
Delivery
On-site / in person, online, or hybrid

01 · Best for

Is this the right workshop?

Non-technical teams, mixed departments and leaders who need a shared practical foundation.

Not the best fit when

  • — You need a finished software implementation rather than team training.
  • — You want a passive keynote without practical work.
  • — You require a legal or compliance guarantee.

02 · What changes after the workshop

What this program changes in practice

Most teams do not need another tour of AI terminology. They need a shared answer to everyday questions: which tool belongs to which task, what information is safe to provide, why one request produces a useful answer while another does not, and who must check the result. The workshop builds that common baseline without making non-technical participants feel behind, then turns the learning into a workflow they can recognise and use in their next working week.

The session is not a fixed sequence of demonstrations. The facilitator works with the team on Understand the modern AI workday, Choose the right tool, Ask for useful work, using ChatGPT, Microsoft Copilot, Your approved AI tools when those systems are approved and available. Participants compare first results, make missing context visible and improve the work together. They learn not only which request works, but why an output is reliable enough to move into the next working step.

The value should not end when people leave the room. Exercises therefore produce concrete outputs such as Reusable request template, Human review checklist, One tested workflow. They give colleagues a traceable starting point, show where human review is still required and make the next pilot smaller and more realistic. Optional follow-up work can build on those artefacts instead of beginning again with another general introduction.

  • Choose an appropriate tool for the task
  • Give clearer instructions and context
  • Check claims, numbers and omissions
  • Turn one recurring task into a reviewed workflow

03 · Tools your team will use

Tools your team will use

ChatGPT
Draft, analyse, research and turn recurring work into reusable team instructions.
Microsoft Copilot
Work with approved Microsoft 365 capabilities across documents, meetings, email and business information.
Your approved AI tools
Exercises adapt to the systems, licences and data boundaries your organisation has approved.

04 · From uncertainty to a shared way of working

Move from uncertain experimentation to confident, responsible everyday use.

Before
People are already trying AI, but results vary and nobody is fully sure what belongs in the tool or how to check it.
In the room
The team uses ChatGPT, Microsoft Copilot, Your approved AI tools on its own examples. Every exercise ends with checking, improvement and a clear human decision.
The day after
Participants leave with more than notes: Reusable request template, Human review checklist, One tested workflow and an agreed next step.

05 · A practical syllabus

A practical syllabus

01 Understand the modern AI workday

See what current tools do well, where they struggle and how work changes.

02 Choose the right tool

Match writing, research, document and data tasks to approved tools.

03 Ask for useful work

Practise context, examples, constraints and output formats.

04 Verify before using

Check sources, numbers, omissions, tone and sensitive information.

05 Build one reusable workflow

Turn a real task into a repeatable request-review-improve loop.

06 · What your team takes away

A prepared workshop, not a generic presentation

  • Reusable request template
  • Human review checklist
  • One tested workflow
  • Shortlist of useful next opportunities

Preparation and resources

  • • Sponsor alignment call
  • • Short participant questionnaire
  • • Examples adapted to your work
  • • Facilitated live practice
  • • Digital resources
  • • Concise facilitator summary

Optional follow-up: Optional follow-up clinics and adoption support can be added after the workshop.

Plan a workshop around work worth improving

What determines the quote?

Share your team size, preferred format, location, approved tools and one workflow you want to improve. These details help scope the preparation, facilitation and any follow-up. Ask for an itemised proposal so you can compare the same scope—not just a day rate.

How should we assess the value?

Choose one representative task and record a baseline before the workshop. Compare the time needed, corrections required and quality of the reviewed output afterwards. Agree who owns the next trial. Treat productivity gains as something to measure, not a promised percentage.

Get a tailored quote

07 · Delivery options

One workshop, three ways to take part

The learning goals, practical exercises and take-away resources stay consistent. We adapt the room, collaboration tools and facilitation rhythm to the way your team is joining.

On-site / in person
Delivered at your organisation or an agreed venue, with the facilitator and participants working together in the room.
Online
A fully live, facilitated workshop using an agreed video platform, shared exercises and structured small-group work.
Hybrid
Designed for a team split between the room and remote participants, with activities adapted so both groups can contribute and receive support.

Published evidence · Switzerland

A documented workshop, with inspectable outputs.

At UNIL in Lausanne, a 90-minute Agentic AI and finance workshop produced 18 structured agent specifications. The case study documents the audience, method, materials and public output portfolio.

George Raymond Alchoufi, AI Workshop facilitator

08 · Facilitated by a practitioner

Facilitated by a practitioner

George Raymond Alchoufi combines software engineering, facilitation and executive coaching. The session is adapted to your team’s work, approved tools and review responsibilities.

Program content reviewed July 2026

Book a free discovery call with me View George’s LinkedIn profile

Delivered across Switzerland

Available on-site in Zürich, Geneva, Lausanne, Basel, Bern and other Swiss locations by arrangement, with hybrid delivery for distributed teams.

Available onsite in: Zürich Geneva Lausanne Basel Bern Lucerne Lugano

Questions before booking

What will our team achieve in the AI Fundamentals workshop?

Move from uncertain experimentation to confident, responsible everyday use. The practical outcomes are: Choose an appropriate tool for the task; Give clearer instructions and context; Check claims, numbers and omissions; Turn one recurring task into a reviewed workflow.

Who is the AI Fundamentals workshop designed for?

Non-technical teams, mixed departments and leaders who need a shared practical foundation.

Which tools will participants use?

The practical stack includes ChatGPT, Microsoft Copilot, Your approved AI tools. Exercises are adapted to the licences and systems your organisation has approved.

How long is the workshop and how is it delivered?

The recommended format is Focused workshop · 4 hours. Every core workshop is designed to stay within four to six hours; alternatives include Core workshop · 4–6 hours. Choose an in-person session at your organisation or an agreed venue, a fully online workshop, or a hybrid format.

What preparation is required?

No technical prerequisite is required. We hold a short sponsor alignment call and participant questionnaire, then adapt examples to approved tools and non-sensitive work.

What does the team take away?

The working package includes Reusable request template, Human review checklist, One tested workflow, Shortlist of useful next opportunities, digital resources and a concise facilitator summary.

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