---
canonical: https://wegoto.ai/en/workshops/gemini-google-workspace-workshop/
language: en
status: published
author: WeGoTo.ai
dateModified: 2026-11-07
---

# How can your team practise AI with Gemini and Google Workspace?

Gemini & Google Workspace: Practise AI-assisted work in the environment your team uses every day. This practical workshop uses approved sample material, a specific task and clear review criteria. The group builds a first method, checks the output and records the instructions worth reusing.

## In brief

- Suggested format: Half a day
- For whom: Teams working in Google Workspace
- Working output: Email preparation, document synthesis and access rules
- Languages: English, Spanish, French
- Price: By quotation

## What will your team work on?

A proposed sequence, adapted to your tools, experience and available time.

### Set up the working environment

Check the account, available features and organisation rules before the session. Use an approved workspace and sample data.

### Email preparation, document synthesis and access rules

Work through a bounded task with a source document. Specify the audience, constraints and expected form of the result before generating it.

### Review against the evidence

Prepare a project update from approved document extracts. Distinguish completed work, planned work and missing information. Ask a colleague to check the update against the original documents.

### Keep a repeatable method

Capture the input requirements, tested instructions and review steps. Have a colleague repeat the exercise with a different example.

## What does practice look like?

### Email preparation, document synthesis and access rules

Prepare a project update from approved document extracts. Distinguish completed work, planned work and missing information. Ask a colleague to check the update against the original documents.

A teaching example. It does not describe a completed client engagement.

| Work product | What makes it usable |
| --- | --- |
| Source material | Approved inputs, with the useful context retained. |
| Reusable instructions | A clear task, constraints and expected output format. |
| Review checklist | The checks a colleague must perform before using the result. |
| Next experiment | An owner, an example and criteria for deciding whether to continue. |

## What should you bring?

Bring a concrete question, a representative example and the rules your team already follows. The purpose of preparation is to spend the session practising, with the right accounts, permissions and source material in place.

- A task that someone on the team does regularly.
- An approved AI tool, or a decision about which environment to use.
- A sample that can be shared safely, preferably stripped of sensitive data.
- A reviewer who knows what a good result should look like.

The final proposal sets the duration, group size, trainer, scope and fee. Tool subscriptions and any follow-up are specified separately.

## Keep the work moving.

## FAQ

### What will we work towards?

Email preparation, document synthesis and access rules. Prepare a project update from approved document extracts. Distinguish completed work, planned work and missing information. Ask a colleague to check the update against the original documents.

### What is the main limit of this programme?

Access controls and product availability are set by the organisation’s administrator. A generated summary may miss qualifications or reflect outdated source material.

### Do participants need technical skills?

The foundations and team workshops are designed around everyday work. Coding is not a prerequisite. Agent and automation sessions require a clearer process and some previous AI experience; the brief identifies the appropriate level before a programme is agreed.

### Can we use our own documents?

Use only examples your organisation has authorised for the selected tool. Remove unnecessary personal or confidential information. If that is not possible, work with a fictional or anonymised example that preserves the structure of the task. Access and data rules are part of the preparation.

### Which languages and locations are available?

WeGoTo is designed for English, Spanish and French-speaking teams, in Barcelona, at the company or live online. The language, delivery setting and trainer are agreed in the scope. A registered office is not a training venue, and no open session is booked through this website.

### Is training eligible for FUNDAE or Qualiopi funding?

WeGoTo does not currently offer FUNDAE-funded training and is not Qualiopi-certified. Do not include these mechanisms in your budget for a WeGoTo programme. The scope and direct company budget are agreed before a session is confirmed.

## Sources

- [Official documentation: data and use conditions ](https://support.google.com/a/users/answer/17010577?hl=en)

[AI for teams](https://wegoto.ai/en/workshops/ai-workshop-for-teams/)

[Prompt engineering for teams](https://wegoto.ai/en/training/prompt-engineering-training/)

[Which AI assistant for your team?](https://wegoto.ai/en/insights/chatgpt-vs-copilot-vs-claude-vs-gemini-for-teams/)

[A method built around your work](https://wegoto.ai/en/method/)
