Gemini Enterprise training for hr & people teams in Singapore
Gemini Enterprise training for hr teams in Singapore: one hands-on day, onsite, on your own files. Recruitment preparation. Onboarding and policy.
Gemini Enterprise for hr & people teams
HR teams in Workspace keep their handbooks, role profiles and survey data in Drive. This programme grounds Gemini in that content and covers which files should stay out of scope.
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
HR, talent and people operations teams. Teams working in Google Workspace.
- HR business partners who answer the same policy questions every week
- Talent acquisition teams preparing role profiles, interview questions and assessment rubrics
- People operations teams running onboarding and employee communications
- HR leaders deciding where AI may support people decisions and where it must not
Not the right fit
- Teams looking for a vendor demo rather than hands-on practice
- Anyone expecting AI to screen out, rank or decide on candidates or employees without human judgement
- HRIS implementation or system integration projects — this is applied assistant training
What the day covers
Module 1: Recruitment preparation
Role profiles and interview guides are drafted in Docs from your existing frameworks.
Exercise. Draft role profiles, structured interview questions and competency rubrics for human-led assessment.
What you leave with. A reusable hiring preparation pack.
Module 2: Onboarding and policy
Policy answers are grounded in the handbook stored in Drive, with the source document named.
Exercise. Build an onboarding plan and draft policy answers grounded in approved documents.
What you leave with. An onboarding checklist and source-backed policy response template.
Module 3: People reporting
Anonymised survey data is analysed in Sheets, with explicit checks for omissions and bias.
Exercise. Summarise anonymised feedback and prepare workforce reporting with explicit checks for omissions and bias.
What you leave with. A reviewed people report and quality checklist.
A worked example: Engagement survey themes in Sheets
One exercise from the day, as it runs on your own material in Gemini Enterprise.
- What goes in
- Anonymised free-text survey responses in a Sheet.
- What is asked
- Group responses into themes, count each, and list the responses that fit no theme.
- What comes out
- A theme table and a short Docs summary for the leadership readout.
- What the reviewer checks
- The unthemed list is read in full, and small teams are aggregated so no individual can be identified.
Singapore rules the exercises respect
HR material is the most sensitive data most organisations hold, and Singapore law sets clear limits on how it is used.
- Employee personal data is covered by the PDPA, including purpose limitation: data collected for payroll is not automatically available for an AI exercise.
- Hiring content is reviewed against the Tripartite Guidelines on Fair Employment Practices and the Workplace Fairness Act passed in 2025.
- Survey and feedback analysis is aggregated so that small teams cannot be identified.
- Decisions about individuals stay with people. The programme covers preparation and review, not automated screening.
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 HR processes, handbook and policy library
- Anonymised or sample working files — a role description, a policy extract, an onboarding 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 hiring and review cycles. 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; employee records, candidate data and case files 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 about candidates and employees stay with your people. The programme teaches AI-assisted preparation and review, never automated hiring or employment decisions.
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 hr & people
Where does it get our policy answers from?
From the handbook in your Drive, with the source document named in the answer. The module includes what happens when the handbook does not cover the question, which is when an ungrounded answer does the most damage.
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.
How does the programme handle PDPA for employee data?
Exercises use anonymised or synthetic records unless your data protection officer has cleared real data for the purpose. Purpose limitation is covered explicitly, because data collected for payroll or performance is not automatically available for an AI exercise.
Can the assistant screen candidates?
The programme does not teach automated screening. It covers drafting role profiles and interview guides and reviewing them against fair employment guidelines. Decisions about candidates stay with people.