Gemini Enterprise training for sales & marketing teams in Singapore
Gemini Enterprise training for sales teams in Singapore: one hands-on day, onsite, on your own files. Account research. Proposals and campaigns.
Gemini Enterprise for sales & marketing teams
Sales and marketing teams on Workspace pitch in Slides and follow up in Gmail. This programme covers that path end to end, and keeps one approved set of claims across the deck and the email.
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
Sales, account management and marketing teams. Teams working in Google Workspace.
- Account managers and sales teams preparing for discovery meetings and renewals
- Bid and proposal teams responding to RFPs and tenders
- Marketers adapting approved content across channels and audiences
- Sales and marketing leaders deciding which claims AI may draft and who approves them
Not the right fit
- Teams looking for a vendor demo rather than hands-on practice
- Anyone expecting AI to send customer communications or publish content without review
- CRM implementation or marketing-automation build projects — this is applied assistant training
What the day covers
Module 1: Account research
Account briefs are built in Docs from approved sources in Drive, separating evidence from assumption.
Exercise. Build an account brief from approved sources, distinguish evidence from assumptions and prepare discovery questions.
What you leave with. A referenced account brief and meeting plan.
Module 2: Proposals and campaigns
Proposal outlines and campaign concepts are drafted in Docs and built out in Slides.
Exercise. Turn a customer brief into a proposal outline, campaign concept and audience-specific messages.
What you leave with. A proposal template and campaign brief.
Module 3: Content and follow-up
Follow-ups are drafted in Gmail from your own meeting notes, with brand and factual review first.
Exercise. Adapt approved content across channels and draft follow-ups from meeting notes with brand and factual review.
What you leave with. A content pack and follow-up workflow.
A worked example: Deck and follow-up email on one set of claims
One exercise from the day, as it runs on your own material in Gemini Enterprise.
- What goes in
- Your approved messaging document in Drive and a customer's brief.
- What is asked
- Draft a Slides outline and a Gmail follow-up that use only the approved claims.
- What comes out
- A deck outline and an email draft that say the same thing.
- What the reviewer checks
- Both are checked against the approved document; any new claim needs marketing sign-off.
Singapore rules the exercises respect
Sales and marketing output in Singapore carries obligations on both data and claims.
- Prospect data used in research and outreach is subject to the PDPA, including the Do Not Call provisions for telephone and SMS marketing.
- Marketing claims are checked against the Singapore Code of Advertising Practice and your own approved claims list.
- Customer names and deal terms stay out of prompts unless your workspace terms and internal policy allow them.
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
- Working knowledge of your own sales process, offer and brand guidelines
- Anonymised or sample working files — an account brief, a past proposal, approved product copy
- 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 quarter-end. Module order is adjusted to your calendar 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; customer records, pipeline data and pricing 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.
- Customer-facing output is reviewed before it is sent or published. The programme teaches AI-assisted drafting and research, never unattended outreach.
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 sales & marketing
Does it help with decks as well as documents?
Yes — the proposal module moves from a Docs outline into Slides, keeping one approved set of claims across both so the deck and the email do not say different things.
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.
Can we put prospect lists into the assistant?
Only within your workspace terms and internal policy, and outreach still has to respect the PDPA's Do Not Call provisions. The session uses public sources and anonymised CRM extracts for the research exercises.
How do we keep generated claims accurate?
Every exercise works from an approved claims list. Anything the assistant produces outside that list is flagged for marketing sign-off before it reaches a customer.