Gemini Enterprise training for finance & accounting teams in Singapore
Gemini Enterprise training for finance teams in Singapore: one hands-on day, onsite, on your own files. Analysis and reconciliation. Reporting and commentary.
Gemini Enterprise for finance & accounting teams
Finance teams on Google Workspace do their modelling in Sheets and their reporting in Docs, and are usually told to follow Excel-based training that does not match. This programme runs entirely in Workspace.
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
Finance teams, controllers and FP&A leads. Teams working in Google Workspace.
- Controllers and finance managers responsible for the accuracy of what gets reported
- FP&A analysts who build variance commentary, budgets and forecasts
- Accountants and finance operations staff running reconciliation and month-end close
- Finance leaders deciding where AI is allowed in the reporting chain and where it is not
Not the right fit
- Teams looking for a vendor demo rather than hands-on practice
- Anyone expecting AI to post entries or approve transactions without human review
- Data science teams building models — this is applied assistant training, not ML engineering
What the day covers
Module 1: Analysis and reconciliation
The reconciliation exercise runs in Sheets against your own ledger extract, with figures traced back to the source rows.
Exercise. Work through a sample ledger, identify exceptions and validate calculations against the source.
What you leave with. A reviewed analysis worksheet and reconciliation checklist.
Module 2: Reporting and commentary
Variance commentary is drafted in Docs from the Sheet that produced it, with references kept intact.
Exercise. Turn verified results into variance commentary, management reports and a board briefing.
What you leave with. A reporting template with source references and review checkpoints.
Module 3: Close and planning
The close checklist and planning brief are built in Docs and shared through Drive under your existing permissions.
Exercise. Draft a close checklist, explain budget movements and prepare follow-up questions for budget owners.
What you leave with. A repeatable month-end workflow and planning brief.
A worked example: Reconciliation in Google Sheets
One exercise from the day, as it runs on your own material in Gemini Enterprise.
- What goes in
- A ledger extract and a bank export in one Sheet.
- What is asked
- Match the two, list the unmatched items by likely cause and reference the row of each.
- What comes out
- An exceptions tab inside the same Sheet.
- What the reviewer checks
- Balances are tied out with Sheet formulas and each exception is opened at source before it is cleared.
Singapore rules the exercises respect
Finance work in Singapore runs against local standards and regulators, and the exercises are set up with that in mind.
- SFRS(I) treatment, such as lease classification under SFRS(I) 16, is a judgement. The assistant can surface the clauses; the accountant makes the call.
- Figures that feed GST F5 returns to IRAS or ACRA filings keep a named human preparer and reviewer.
- For MAS-regulated firms, assistant use sits within your technology risk management and outsourcing assessments. We work inside what your risk team has already approved.
- Customer and counterparty data stays subject to the PDPA, so exercises use anonymised extracts unless your data protection officer has cleared otherwise.
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 Excel or Google Sheets and your own close or reporting process
- Anonymised or sample working files — ledger extracts, a variance pack, a close checklist
- 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 close. 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; live production data stays inside your own tenant and licences.
- Every module includes verification: tracing a figure back to source, checking totals independently, and identifying what the assistant omitted.
- Approval and posting stay with your people. The programme teaches AI-assisted preparation and review, never unattended financial action.
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 finance & accounting
We model in Sheets, not Excel. Does that matter?
It matters enough that most finance AI training does not fit. Every exercise here runs in Sheets and Docs on your own ledger extract and reporting pack, under your existing Drive permissions.
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.
Is this suitable for MAS-regulated finance teams?
Yes, provided assistant use has been approved under your technology risk and outsourcing assessments. The session works inside that approval and does not extend it. Every exercise keeps a human preparer and reviewer, which is what those frameworks expect for material outputs.
Can we use real ledger data in the session?
Inside your own tenant and licences, yes. Anything shared with the trainer beforehand is an anonymised extract. Counterparty and customer details are removed unless your data protection officer has cleared their use.