Gemini in Google Workspace
Use Gemini where the work already happens: summarise and reply in Gmail, draft in Docs, analyse in Sheets, find anything in Drive, and get notes and recaps from Meet.
- Gmail
- Docs
- Sheets
- Drive
- Meet
- Forms
For teams · Online or on-site
Hands-on training where your people use AI inside the tools they already work in, and build flows that take real work off their plate. Everyone leaves with something that works on Monday.
Hands-on, not demo-only Built on your team’s real work Safe by design
An example flow teams build in the hands-on lab.
01What we cover
Every topic is taught hands-on, on the tools your team already has. Pick one for a short session, or several for a programme.
Use Gemini where the work already happens: summarise and reply in Gmail, draft in Docs, analyse in Sheets, find anything in Drive, and get notes and recaps from Meet.
Build flows without code: sort and label email, update a sheet when a form comes in, route files from Drive, turn Chat messages into tasks and follow up after meetings.
Gemini Gems and Copilot agents that carry your team’s instructions and files, so nobody retypes the same prompt: a proposal writer, a policy helper, a brand-voice editor.
Turn policies, SOPs and reports into an assistant that answers from your own sources, plus audio overviews, quizzes and briefing notes for training.
For Microsoft 365 teams: Copilot in Word, Outlook, Teams meetings and OneDrive, plus Copilot agents and workflows for the work that repeats.
Shadow AI is already in most companies. Set clear rules on which tools to use, what data can go where, and when a person must check AI’s work before it leaves the building.
Where bias creeps into AI output, in hiring, reviews and customer replies, and how to test for it, add guardrails and keep people accountable for decisions.
For operations teams that outgrow built-in tools: n8n workflows and AI agents that connect email, sheets, CRMs and your own systems.
02How a session runs
Hands-on, not a demo. People leave having built something on their own kind of work, not having watched someone else build.
Find the repeat work worth automating: it happens often, costs time and follows clear rules.
Break it into a trigger, a decision, an action and a handoff, before anyone opens a tool.
One live build together, then small groups each build and test a flow on a real task.
Groups share what they built, and everyone takes one automation back to their desk.
Big groups stay hands-on. In each breakout room one person shares a screen and builds while the rest advise, so nobody sits stuck. Each room builds something different, so everyone leaves with several working flows.
03Formats
Online on Zoom, Meet, Teams or your own platform, or on-site. Every format starts with a short call about your team and ends with a plan you approve.
One focused topic, a live build and breakout labs. Works for a single team or a large group online.
Role by role, from using AI well to building team automations, with something to build between sessions.
What AI changes for your teams, the governance to put in place first, and where to start.
Ritesh HegdeFounder, Ritz7 · Your guide
04Your guide
Ritesh started in automotive systems, spent 17 years automating software, and has built on WhatsApp for more than 5. He teaches what he runs: the agents and flows he teaches are the same kind Ritz7 builds for clients, and the kind that run his own working day.
His rule for every build: start with the problem, not the tool.
05Plan a session
A few details are enough. Ritesh gets back to you with a few questions and a suggested plan.
06Questions
Both. Online sessions run on Zoom, Google Meet, Microsoft Teams or whichever platform your team already uses, with breakout rooms so large groups stay hands-on. On-site sessions are planned around your office.
We teach on the tools you already have: Gemini and Workspace Studio for Google Workspace, Copilot for Microsoft 365. Some features depend on your plan and admin settings, so we check access with your IT team before the session.
Yes. We ask about your team’s roles and repeat work first, and the labs are built on those tasks, not on generic examples.
No. Sessions are built for people who do not build software every day. Each lab has a few core steps, plus a stretch step for those who move faster.
Labs can run on sample data, so nobody has to paste real customer data into a tool during training. The governance topic covers what your people should and should not put into AI tools at work.
Send the form above or message Ritesh. We start with a short call about your team, then share a session plan for you to approve.
For teams · Online or on-site
Tell us about your team, and we will shape a session around its real work.