Microsoft Copilot training for leadership & strategy teams in Singapore
Microsoft Copilot training for leadership teams in Singapore: one hands-on day, onsite, on your own files. Decision briefs. AI opportunity assessment.
Microsoft Copilot for leadership & strategy teams
Executives get the reports, not the raw data. This programme uses Copilot across the documents and meetings a leadership team already generates, and covers what to standardise before a wider rollout.
Where the work happens
- Excel
- Outlook
- Word
- Teams
- PowerPoint
Sessions run inside the Microsoft 365 apps your team already has open all day, on your own files and your own tenant permissions.
Who this programme is for
Executives, department heads and transformation leads. Teams licensed for Microsoft 365.
- 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 Word from approved reports, with evidence gaps stated rather than smoothed over.
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
Team workflows are mapped in Excel and scored by effort, value, data readiness and review requirement.
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
Ownership, acceptable use and approval points are drafted as a governance checklist your team can circulate in Teams.
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: Decision log from a leadership meeting
One exercise from the day, as it runs on your own material in Microsoft Copilot.
- What goes in
- A Teams meeting recap and the pre-read deck.
- What is asked
- Produce a decision log: what was decided, who owns it, by when, and what was discussed but left open.
- What comes out
- A one-page log circulated the same day.
- What the reviewer checks
- Attendees confirm the decisions before circulation, because a recap can state a discussion as a decision.
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.
- Building Power Automate flows, Copilot Studio agents or custom connectors — this is a day on using the assistant, not on developing with it.
- Tenant configuration, licence assignment or admin policy. We work inside whatever your administrators have already enabled.
- Migrating files into SharePoint or OneDrive. Copilot reaches the content your team can already reach, and that scope is a discussion for your IT team, not a training exercise.
Before the session
- A licensed Microsoft Copilot 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 Microsoft Copilot for leadership & strategy
What should a leadership team standardise before rolling Copilot out?
Who owns each use case, what counts as acceptable use, and which decisions require a human approval point. The third module drafts exactly that as a checklist, alongside a prioritised shortlist of where to start.
Do we need Copilot licences before the session?
Yes. The programme is hands-on inside your own tenant, so every participant needs an assigned seat on the day. If licences are still being rolled out, we schedule around the rollout rather than demonstrating on a screen share.
Why does Copilot give our team different answers to the same question?
Because it can only reach the files each person has permission to open, so two people asking the same question are often asking against different content. Recognising that is part of the first module, and it is the reason every exercise ends by checking the answer against the source.
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.