AI training for your teams and your leadership

Half-day to full-day AI training for executive teams, run on the leaders' own work, ending with the company's AI charter and adoption message.

Objectives

By the end of the session, each participant can:

• use AI on their own executive work (board prep, memos, financial summaries, market analysis) and get a usable result;
• say where AI adds value for the company and where it creates risk;
• draft or review the company's AI charter against GDPR and the EU AI Act;
• set out leadership's message on AI adoption, inside the company and outside it.

Audience

Members of the executive or leadership team.

Prerequisites

No technical prerequisites. A laptop and access to the company's AI tool.

Outline

1. Where AI use stands in the company today
2. Hands-on work on your real files
3. Value and risk: data, compliance, security
4. AI charter: new or reviewed
5. Leadership's adoption message

Content adapts to the length you choose.

Methods and assessment

Hands-on work on participants' own files, discussion within the leadership team. Entry questionnaire, end-of-session validation questionnaire, certificate of completion.

One-day AI training for every team, built on participants' real tasks and files, on the company's chosen AI tool.

Objectives

By the end of the day, each participant can:

• spot at least three tasks in their own job where AI helps;
• structure a request and get a usable result on a real task;
• give the tool the right context (documents, data) and check the output before using it;
• apply the company's AI charter rules on data;
• build a reusable assistant for a recurring task.

Audience

Everyone, across functions and levels. Groups mix functions on purpose.

Prerequisites

None, whether the participant has never used AI or uses it daily. They need a laptop, an active account on the company's AI tool (ChatGPT, Microsoft Copilot, Claude or Gemini) and a real, non-confidential work file.

Outline

1. What AI does, what it doesn't, and your charter's rules
2. Workshop: map your own tasks
3. Structure a request, then improve it on a real task
4. Work with your own files and check the result
5. Build a reusable assistant
6. Final exercise

Methods and assessment

Short inputs, more workshop time than presentation. Entry questionnaire, observation grid during the workshops, validation questionnaire and a scored final exercise. Slides, prompt library and habits guide shared at the end. Certificate of completion.

Two to three hour workshop for one functional team, which rebuilds one or two of its own workflows with the company's AI tool and measures the time spent before and after.

Objectives

By the end of the workshop, the team can:

• pick its priority use cases from the function's real pain points;
• rebuild one or two team workflows with the company's AI tool;
• measure, during the session, time spent before and after on a real task;
• agree its shared rules of use.

Audience

One functional team: sales, marketing, product, operations, finance, HR, customer support.

Prerequisites

Regular use of a generative AI tool, at AI Fluency level or equivalent.

Outline

1. The team's tasks and pain points, from the needs analysis
2. Choice of one or two priority workflows
3. Live rebuild, on the team's own files
4. Before and after measurement on a real task
5. The team's plan of use

Methods and assessment

Group workshop on the team's own workflows. Exercise on the rebuilt workflow, short validation questionnaire, certificate of completion.