Gemini Enterprise training for leadership & strategy teams in Singapore
Gemini Enterprise training for leadership teams in Singapore: one hands-on day, onsite, on your own files. Decision briefs. AI opportunity assessment.
Gemini Enterprise for leadership & strategy teams
Leadership teams on Workspace review in Docs and present in Slides. This programme covers both, and works through what to standardise before a wider rollout.
Where the work happens
- Sheets
- Docs
- Slides
- Gmail
- Drive
Every exercise runs inside Google Workspace, on your own Drive content and under your existing sharing permissions.
Who this programme is for
Executives, department heads and transformation leads. Teams working in Google Workspace.
- Executives who need to brief, decide and set direction from long material
- Department heads choosing which AI use cases their teams should pursue
- Transformation and strategy leads building the case for AI investment
- Leadership teams agreeing acceptable use, ownership and approval points for AI
Not the right fit
- Teams looking for a vendor demo or an awareness keynote rather than hands-on practice
- Anyone expecting a ready-made AI strategy rather than the skills to judge one
- Technical architecture or platform-selection projects — this is applied assistant training
What the day covers
Module 1: Decision briefs
Decision briefs are synthesised in Docs from approved reports in Drive, with evidence gaps stated.
Exercise. Synthesize approved reports into a decision brief with alternatives, evidence gaps and questions for the team.
What you leave with. An executive briefing template and evidence checklist.
Module 2: AI opportunity assessment
Workflows and candidate use cases are mapped and scored in Sheets.
Exercise. Map team workflows and compare candidate use cases by effort, value, data readiness and review requirements.
What you leave with. A prioritised opportunity shortlist with measurable pilot criteria.
Module 3: Governance and adoption
The governance checklist and adoption plan are built in Docs and presented from Slides.
Exercise. Define ownership, acceptable use, human approval points and a practical adoption plan.
What you leave with. A governance checklist and 30-day team adoption plan.
A worked example: Adoption plan in Docs
One exercise from the day, as it runs on your own material in Gemini Enterprise.
- What goes in
- Your team's list of candidate workflows and current Workspace usage.
- What is asked
- Draft a phased adoption plan with owners, a review point for each phase and what would make you stop.
- What comes out
- A plan in Docs presented from Slides.
- What the reviewer checks
- Each phase has a named owner and a measurable stop condition before it is approved.
Singapore rules the exercises respect
Singapore has published more practical AI governance guidance than most markets, and the leadership day uses it directly.
- IMDA's Model AI Governance Framework, and its 2024 edition for generative AI, give a working structure for accountability, testing and disclosure.
- AI Verify offers a testing approach the organisation can adopt as it moves from pilots to production.
- The PDPC's advisory guidelines on personal data in AI recommendation and decision systems set expectations on consent and explanation.
- For financial institutions, MAS's FEAT principles on fairness, ethics, accountability and transparency apply to how AI output is used.
What this day does not cover
Scope is agreed before the session so the day stays hands-on.
- Apps Script, AppSheet or automation development.
- Workspace administration, Drive permission restructuring or data-loss-prevention configuration.
- Migrating content into Drive. The assistant reaches what your team can already reach.
Before the session
- A licensed Gemini Enterprise seat for each participant
- Familiarity with your own strategy, operating priorities and current AI activity
- Anonymised or sample working files — a recent report or board paper, a list of candidate use cases
- No coding background required
Format and schedule
- Delivery
- On site in Singapore or remote, delivered live. Cohorts are kept small enough that every participant works on their own files rather than watching a screen share.
- Duration
- Typically one full day, or two half-days scheduled around leadership calendars. Module order is adjusted to your priorities and tool stack.
- How each module runs
- Each module follows the same pattern: a short walkthrough of the technique, a hands-on exercise on your own data, then a review of what the assistant got wrong and how to catch it.
- Afterwards
- Participants leave with the prompt patterns, templates and review checklists produced during the session, so the work continues after the training day.
How your data is handled
- Exercises run inside your own tenant and your own licences, so your data does not leave your environment for the training.
- Files shared with the trainer in advance are anonymised extracts; board material, financials and strategy documents stay inside your own tenant and licences.
- Every module includes verification: checking output against the source, confirming what the assistant left out, and marking what still needs a human read.
- Decisions stay with the leadership team. The programme teaches AI-assisted analysis and preparation, and how to set the approval points your teams will work within.
Who runs the session
Abhijit Ghosh
Founder, Eagentix · Data & Generative AI Practitioner · Singapore
The programme is delivered by Abhijit Ghosh, who has spent 25 years in data and AI, including roles at Accenture, IBM, Deloitte, Cloudera, Tibco and Wipro. Sessions are run by the practitioner, not handed to a junior facilitator.
Questions about Gemini Enterprise for leadership & strategy
Can it prepare our leadership review from Drive?
Decision briefs are synthesised in Docs from the approved reports already in Drive, with evidence gaps stated, and presented from Slides. Whether a given report should be in scope is part of the discussion.
Our team uses Google Workspace, not Microsoft 365. Does the training change?
Substantially. Every exercise runs in Sheets, Docs, Slides and Gmail on your own Drive content, and the techniques are taught against those surfaces rather than translated from an Excel-based course.
Can it answer from files across our whole Drive?
It reaches what each person already has permission to reach, which means two colleagues can get different answers to the same question. Working out what that means for your team is part of the day rather than a caveat at the end.
Which Singapore AI governance frameworks does the session reference?
IMDA's Model AI Governance Framework, including the 2024 generative AI edition, AI Verify, and the PDPC's advisory guidelines on personal data in AI systems. Financial institutions also cover MAS's FEAT principles. These are used as working structures, not as legal advice.
What does a leadership team leave with?
A shortlist of use cases with owners, an acceptable-use position and the approval points that apply before anything reaches production.