Plan a session

For teams · Online or on-site

AI at work, for the whole team.

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

Pick the topics. We shape it around your team.

Every topic is taught hands-on, on the tools your team already has. Pick one for a short session, or several for a programme.

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

Google Workspace Studio

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.

  • Triggers
  • Decisions
  • Actions
  • Handoffs

Custom assistants

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.

  • Gems
  • Copilot agents
  • Prompt libraries

NotebookLM for team knowledge

Turn policies, SOPs and reports into an assistant that answers from your own sources, plus audio overviews, quizzes and briefing notes for training.

  • Your sources
  • Onboarding
  • Training

Microsoft Copilot at work

For Microsoft 365 teams: Copilot in Word, Outlook, Teams meetings and OneDrive, plus Copilot agents and workflows for the work that repeats.

  • Word
  • Outlook
  • Teams
  • OneDrive

AI governance

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.

  • Usage policy
  • Data safety
  • Human review

Bias and responsible AI

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.

  • Bias checks
  • Guardrails
  • Accountability

Automation beyond Workspace

For operations teams that outgrow built-in tools: n8n workflows and AI agents that connect email, sheets, CRMs and your own systems.

  • n8n
  • AI agents
  • Integrations

02How a session runs

Spot it. Map it. Build it. Apply it.

Hands-on, not a demo. People leave having built something on their own kind of work, not having watched someone else build.

Spot it

Find the repeat work worth automating: it happens often, costs time and follows clear rules.

Map it

Break it into a trigger, a decision, an action and a handoff, before anyone opens a tool.

Build it

One live build together, then small groups each build and test a flow on a real task.

Apply it

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

From one session to a full programme.

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.

90 minutes to half a day

Hands-on workshop

One focused topic, a live build and breakout labs. Works for a single team or a large group online.

3 to 4 sessions

Team programme

Role by role, from using AI well to building team automations, with something to build between sessions.

60 to 90 minutes

Leadership session

What AI changes for your teams, the governance to put in place first, and where to start.

Ritesh Hegde, founder of Ritz7 and lead instructor at ABCD

Ritesh HegdeFounder, Ritz7 · Your guide

04Your guide

Learn from someone who builds these for a living.

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.

  • 25,000+people trained in the last 2 years
  • 450+projects delivered by Ritz7
  • 30+countries served
  • 17+ yrsbuilding automation

05Plan a session

Tell us about your team.

A few details are enough. Ritesh gets back to you with a few questions and a suggested plan.

Topics you are interested in (pick any)

06Questions

What teams ask before booking.

Online or on-site?

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 use Google Workspace, or Microsoft 365. Does that matter?

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.

Can you tailor it to our work?

Yes. We ask about your team’s roles and repeat work first, and the labs are built on those tasks, not on generic examples.

Do people need technical skills?

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.

What about our data?

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.

How do we get started?

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

Less repeat work. Starting Monday.

Tell us about your team, and we will shape a session around its real work.