AI Training

AI training for businesses, managers and teams.

AI skills for everyday work. We design programs to help people choose, use and evaluate artificial intelligence, combining exercises based on participants’ tasks, shared guidelines and adoption support.

Illustrative scene: participants complete computer-based exercises with support from a trainer.

People and objectives

A different path for every role.

Objectives, existing skills and working context guide the design. From sessions for decision-makers to hands-on workshops and company-wide programs spanning several levels.

Managers and decision-makers

Briefings and workshops on opportunities, risks, governance and investment priorities. Analysis, summaries and critical evaluation of outputs to support decisions.

Teams and business functions

Exercises using documents, emails, reports, research and recurring tasks. Methods, prompts and output checks applied to everyday work.

HR and adoption leads

Role-based programs, internal communication, guidelines and change support. Build shared skills and sustain learning beyond the training sessions.

Learning by doing

From concepts to real tasks.

We use examples and, where possible, documents and processes relevant to participants’ work. Each exercise connects the use of tools with the quality of the result and the checks it requires.

Frame the task

Prepare a summary, a draft message or a report: clarify the objective, audience and information to provide to the tool.

Evaluate the answers

Compare a summary with its source document, identify missing or unsupported information and correct the output.

Use AI responsibly

Distinguish which data can be used, choose tools consistent with company rules and define who reviews the result.

A participant completes an AI exercise on a laptop with support from a trainer.

Tailored programs

Content built around your work.

Focused workshops or company-wide programs spanning several levels: we combine modules to suit the participants and objectives. Duration, tools and exercises are agreed during the design phase.

AI fundamentals for teams

A shared vocabulary to understand the capabilities and limitations of tools and make informed choices about their use.

Use case workshops

Documents, reports, communications, analysis and recurring tasks: practical examples connected to business processes.

Prompts and output checks

Methods for writing, summarising, researching and comparing information, with a focus on verifying results.

Guidelines and governance

Operating rules for tools, data, privacy, security, roles, responsibilities and permitted use cases.

HR and change management

Internal communication, role-based programs and adoption plans aligned with company culture and objectives.

Mapping opportunities

Review tasks, documents and friction points to identify where to train people, automate work or develop applications.

Support after training

Feedback, reusable materials and pilot use cases to help people take the next steps.

Our method

From needs analysis to adoption.

We work with company representatives to connect learning, day-to-day tasks and applications.

Preparing worksheets, materials and exercises for a training program.

Listening and analysis

We identify roles, objectives, existing skills, tools in use and the processes involved.

Program design

We define modules, use cases, exercises, duration and practical objectives for the participants.

Workshops and exercises

We work on prompts, outputs, checks and applications to real tasks.

Materials and guidelines

We prepare practical guidance, rules of use and materials teams can reuse.

Adoption support

We gather feedback, identify pilot use cases and define the next steps.

A trainer and a company representative discuss notes collected after a training program.

Continuity after training

Bring new skills into your processes.

Follow-up support helps turn learning into working practices: we discuss experiences, review use cases and set priorities. We consider team autonomy, output quality, time and errors in relation to the tasks involved.

When an application need emerges, we connect training with the design of AI assistants, automations and integrations. The program can then lead to a practical project.

Frequently asked questions

How we adapt training to your company’s needs.

Is the training only technical?

No. The objective is practical: to help people use AI in real work, with a method, output checks and awareness of its limitations.

Can we create different programs for different roles?

Yes. Managers, HR, operational teams, staff and business functions have different needs. Programs can be modular and span several levels.

Do you cover privacy, security and risks?

Yes. Data, confidentiality, security, human oversight, hallucinations and accountability are integral parts of the program.

Do you use examples from our company?

Yes, where possible. We start with documents, tasks and processes relevant to participants’ work.

Do you provide support after the course?

Yes. We can support adoption, gather feedback, define guidelines, prioritise use cases and help with subsequent AI projects.

What return can we expect?

It depends on the roles and processes. We consider time, output quality, team autonomy, errors and use cases that could become automations or applications.

Your training program

Start with people and their objectives.

In a 45-minute session, we review the participants, objectives and business processes together to identify a suitable path: training, workshops, governance or adoption support.

Participants and learning objectivesThree practical use casesStarting skill levelRecommended formatPractical next steps

Let’s discuss your AI training

Tell us who you want to train and which tasks you would like to improve.

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