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AI Training

AI training for employees. Then workflows built for every department.

Hands-on training on Claude, ChatGPT, Gemini and Microsoft 365 Copilot, built around your departments, daily tasks and governance rules. No technical background required. After the training, our AI engineers stay on to build the workflows each team uses every day.

Scope your training See what happens after training

Certified engineering centre

Certificates are held by Team Extension SRL, the group's engineering centre in Bucharest, which delivers every engagement.

A day with an AI assistant

One working day, done differently

This is what a trained operations manager's day looks like once the assistant is part of the routine. We teach each step in the training, then build the recurring ones into workflows with the team.

07:45

Morning brief

A scheduled task has already summarized overnight email, open tickets and today's meetings into one page with three priorities.

09:30

Steering meeting

Notes are turned into decisions, owners and due dates, then drafted as a follow-up email in the company's tone.

11:00

Supplier contract

A 40-page contract is checked against the company's standard clauses; deviations are listed with page references for Legal.

14:00

Monthly report

The KPI export is cleaned, compared to last month and turned into a chart and a one-paragraph commentary for management.

16:30

Handover

The assistant drafts a status update for the team channel and saves today's prompts to the shared project for colleagues.

Same person, same tools. The difference is structured training and workflows built for their role.

From training to workflows

What we teach, and what we build next

The training shows your teams how to do a task with AI. Afterwards, our engineers turn the same task into a workflow, so it runs the same way every time.

Monthly KPI report

In the trainingClean an export and draft the commentary

The workflow we buildA scheduled report that arrives each month with commentary ready to review

Tender / RFP response

In the trainingExtract requirements and draft first answers

The workflow we buildAn agent that drafts the compliance matrix and first answers from your past bids

Customer replies

In the trainingDraft replies in the company's tone

The workflow we buildDraft replies inside your ticketing tool, sent once an agent approves them

Contract review

In the trainingCompare a contract with your standard clauses

The workflow we buildAn intake workflow that flags deviations and routes them to Legal

Weekly status report

In the trainingTurn meeting notes into decisions and owners

The workflow we buildA status report compiled from your task tool every Friday

See how the build-out works

Participants

AI upskilling for the people who do the work

Our training is for business teams, not data scientists. Each group gets examples from its own desk.

  • Sales

    Account research, proposals, follow-ups

  • Marketing

    Campaigns, content, brand-safe copy

  • Operations & Projects

    Status reporting, planning, risk logs

  • Customer Service

    Replies, knowledge base, escalations

  • Finance

    Variance analysis, reporting, reconciliations

  • HR

    Job descriptions, onboarding, policy Q&A

  • Legal & Compliance

    Contract review, policy comparison, summaries

  • Management

    Decision memos, board packs, strategy reviews

How it works

From first session to workflows in daily use

  1. 01

    Discovery

    We meet your department leads, choose the participating teams and confirm which AI tool and licences you use.

  2. 02

    Use-case mapping

    We list the recurring tasks in each team and rank them by time saved and risk. The same list drives the training and the workflows we build later.

  3. 03

    Training materials

    We build the slides, department workbooks and realistic sample data, so nobody practises on live company data.

  4. 04

    Training

    A shared core session for everyone, then department workshops where each team works on its own use cases.

  5. 05 Ongoing

    Workflow build-out

    Our AI engineers work with each department to turn its top use cases into working workflows: team setups, scheduled reports, automations and agents.

  6. 06 Ongoing

    Run and expand

    Every month we add the next workflows from the backlog, maintain the ones already running and report adoption to management.

Tools we train on

Claude, ChatGPT, Gemini and Copilot training

We train on the assistant your company has licensed. The programme structure stays the same; the screens, features and exercises change.

  • Anthropic

    Claude

    Best fit
    Long documents, analysis, writing in a consistent voice
    Features covered
    Projects, artifacts, skills, connectors, scheduled tasks, plugins

  • OpenAI

    ChatGPT

    Best fit
    Broad everyday use and data analysis
    Features covered
    Projects, skills, apps, plugins, data analysis, canvas

  • Google

    Gemini

    Best fit
    Companies on Google Workspace
    Features covered
    Gemini in Gmail, Docs, Sheets and Drive; skills (replacing Gems); Gemini Notebook

  • Microsoft

    Microsoft 365 Copilot

    Best fit
    Companies on Microsoft 365
    Features covered
    Copilot in Outlook, Teams, Word, Excel and PowerPoint; agents such as Researcher and Analyst

Not sure which tool fits? Ask us before you buy licences

Sample programme

“From Assistant to Teammate”

A one-day programme for a mid-sized enterprise with four participating departments. Yours is built the same way, around your teams.

What your company receives

  • Slides

    Core session and department workshop slides, written in your company's terms

  • Department workbooks

    Hands-on exercises for each participating department

  • Sample data

    Realistic but fictional reports, contracts, emails and spreadsheets

  • Knowledge check

    A short quiz at the end to confirm the essentials landed

  • Prompt library

    Tested prompts per department, ready to copy and adapt

  • Workflow backlog

    A ranked list of each department's first workflows to build after the training

Module outline

  1. 01Why AI now: what changes for your role, and what does not
  2. 02How the assistant works, and where it gets things wrong
  3. 03Writing a good request: role, source, task, format
  4. 04Working with your own files: summarize, compare, extract
  5. 05From text to tables and charts
  6. 06Projects and shared instructions for your team
  7. 07Automating the routine: skills, scheduled tasks and agents
  8. 08Safe use: data, access and approval rules
  9. 09Department workshop and first workflow backlog
Book a training to see the full programme

Writing a good request

The four parts of a good request

Most disappointing AI answers come from vague requests. We teach a simple four-part structure that works in every tool.

  1. 01 · Role

    Who should the assistant act as?

    “You are a senior financial controller.”

  2. 02 · Source

    What should it work from?

    “Use the attached Q3 cost report.”

  3. 03 · Task

    What exactly should it do?

    “Find the five largest variances against budget and explain likely causes.”

  4. 04 · Format

    What should the result look like?

    “A table, then three bullet points for the CFO.”

Poor Summarize this report.
Good Summarize the attached Q3 cost report and list the biggest budget variances.
Excellent You are a senior financial controller. Using the attached Q3 cost report, find the five largest variances against budget and explain the likely cause of each. Return a table with cost centre, variance in CHF and cause, followed by three bullet points I can send to the CFO.

Department workshops

Workshops built on each department's own tasks

After the core session, each department works through its own use cases. A sample from each.

Daily challengesResearching accounts takes hours. Proposals start from a blank page. Follow-ups slip after busy weeks.

  • Build a one-page account brief from public sources and CRM notes
  • Draft a tailored proposal from a standard template and meeting notes
  • Turn call notes into a follow-up email and next steps
  • Prepare objection-handling answers for a specific product
  • Summarize a long RFP into requirements and deadlines
  • Score pipeline deals against agreed qualification criteria

The strongest use cases from each workshop become that department's workflow backlog, which is where the build-out starts

After the training

Training is the start. Working workflows are the goal.

New skills fade when nobody turns them into daily routines. So we stay on. Our AI engineers work with each department to turn its best use cases into workflows people use every day, then keep adding new ones.

What we build

  • Team setups

    Shared projects with instructions, reference files and tested prompts, so every colleague gets the same quality of answer.

  • Scheduled reports and briefs

    Recurring summaries, KPI commentary and status updates that arrive ready to review.

  • Automations connected to your systems

    Workflows that read from and write to your CRM, ERP, ticketing tool, Microsoft 365 or Google Workspace, with approval steps built in.

    AI Automation

  • AI agents for multi-step work

    Agents that research, draft and check across several steps, then hand back to a person for approval.

    AI Agents

How it runs every month

  1. 01PrioritizePick the next use cases from the backlog with each department lead.
  2. 02BuildSet up, connect and test the workflow in your tools.
  3. 03Roll outA short session so the team uses it from day one.
  4. 04Measure and maintainTrack adoption and time saved, and keep running workflows up to date.

Runs as an ongoing monthly engagement. Our Forward-Deployed AI Engineering team builds inside your departments, and Managed AI Services operates and monitors the workflows in production.

Plan training and workflows together

Safe use

Guardrails for everyday use

Productivity without control is a risk. Every programme includes the rules your teams need to use AI safely, aligned with your internal policies.

  1. 1

    Give only the access the task needs

    Connect the assistant to the folders and systems a task requires, nothing more.

  2. 2

    Keep sensitive data out unless approved

    Personal data, client data and confidential figures stay out of prompts unless your company has approved the tool for that kind of data.

  3. 3

    Nothing goes out without human review

    Emails, reports and decisions drafted by AI are checked by a person before they are sent or acted on. Every workflow we build includes this step.

Need a company-wide AI policy first? Our AI Governance team helps you set usage rules aligned with the EU AI Act and ISO/IEC 42001, and the training puts them into practice.

AI Governance

Practical details

How our enterprise AI training runs

Location
On-site at your offices, at our Geneva / Zurich offices, or live online
Language
English
Duration
From a half-day core session to a multi-week programme, planned with you
Group size
Agreed per session, so every participant gets hands-on time
Price
Training: fixed quote after a short discovery call. Workflow build-out: monthly engagement.
After the training
Our AI engineers build new workflows for your departments every month and maintain the ones in use. How it works

Satisfaction guarantee. Every training includes our satisfaction guarantee: if the sessions do not deliver what we agreed, we run them again at no extra cost, and if they still fall short, you do not pay for the training.

Case studies

Related case studies

All case studies

Customer service software

A customer-support assistant grounded in company documentation

A support chatbot that answers from approved company content only, records every conversation and helps the team correct weak answers.

Read the case study

Enterprise software

Company-wide AI access with built-in controls

One place for all employees to use AI, with roles, spending limits, controls over which models people may use, and automatic protection of personal data.

Read the case study

Frequently asked questions

Frequently asked questions

Who is the training for?
Business teams in every function: sales, marketing, operations, customer service, finance, HR, legal and management. It assumes no technical knowledge.
How is this different from an online AI course?
Generic courses teach features. We teach your teams' own tasks, then build those tasks into workflows they use every day.
Which AI tool do you train on?
The one you already use: Claude, ChatGPT, Gemini or Microsoft 365 Copilot. If you have not chosen yet, we help you decide first.
Do participants need paid licences?
We recommend business or enterprise licences so features and data protection match what your teams will use day to day. We confirm the setup during discovery.
Will our company data be used in the training?
Not in the sessions. Participants practise on sample data we prepare. Real company data comes in only when we build workflows, inside the tools and permissions you approve.
Can the training support our AI policy or EU AI Act obligations?
Yes, as one part of it. Article 4 of the EU AI Act, as amended in July 2026, requires providers and deployers of AI systems to take measures that support their staff's AI literacy. Training is one such measure, not full compliance on its own. We build your usage rules into the programme, and our AI Governance team can help draft the policy itself.
Do you help after the training?
Yes, and this is where most of the value comes from. Our AI engineers work with each department to turn its top use cases into working workflows, then keep adding new ones and maintaining the ones in use. It runs as a monthly engagement, so your teams keep improving after the training ends.
How much does it cost?
Price scales with the number of teams, people and session days. You get a fixed quote for the training after a short discovery call; workflow build-out is billed monthly.
Is there a guarantee?
Every training includes our satisfaction guarantee: if the sessions do not deliver what we agreed, we run them again at no extra cost, and if they still fall short, you do not pay for the training.

Get started

Train your teams, then build their workflows

Tell us which teams and which tool. We come back with a training plan, a fixed quote and the first workflows we would build for each department.

Book a training See all offers in the brochure