HR & Recruiting

Researching HR topics faster

AI helps with deeper dives into HR topics so the practitioner can quickly understand a subject before applying it at work.

Why the human is still essential here

The human still interprets the information, checks relevance and accuracy, and decides how any insight fits the organisation.

How people use this

Policy benchmark summaries

AI summarizes common practices and key considerations on topics like leave, performance management, or hybrid work to speed up background research.

Perplexity / ChatGPT

Plain-language topic primers

AI creates a simple overview of unfamiliar HR concepts so practitioners can get oriented before reviewing official sources.

Claude / Gemini

Follow-up research Q&A

AI answers iterative questions on an HR topic in conversational form, helping the user learn faster and refine what to explore next.

ChatGPT / Claude

Related Prompts (2)

Community stories (1)

LinkedIn

Drafting emails with ChatGPT.

Drafting emails with ChatGPT.

Rephrasing messages.

Occasionally doing a deeper dive into an HR topic I wanted to understand better.


This is how I’ve been using Generative AI for the past couple of years.


Useful, yes.


But in hindsight, I realise I was barely scratching the surface.


Over the past few weeks, I’ve started experimenting with ChatGPT, Claude and Gemini in a very different way — using them to support some of the everyday work we do in HR.


I wouldn’t say I’ve figured it out yet.


But the early experiments have been interesting.


Like many HR professionals, I assumed that using AI in HR would eventually mean adopting some specialised platform built specifically for HR teams.


But while experimenting, I realised something simpler.


Many everyday HR tasks can already be supported by the general-purpose AI tools that most of us already have access to:


- Drafting policies

- Structuring learning content

- Thinking through onboarding journeys

- Designing employee surveys


The interesting part is that these tools don’t come with ready HR templates.


Which means you have to shape them around your organisation’s language, processes and culture.


And that’s where the learning really begins.


I’m still very much in the experimentation phase.


Some things work surprisingly well.

Some things don’t.


But the possibilities are interesting enough to keep exploring.


I have a feeling many of us in HR may already be using these tools in small ways without fully exploring what else they might help with.


Curious — how are others in HR using AI today?


AI in HR – Experiment Log (1/8)

KO
Kapil OberoiHead - HR & Administration
Mar 8, 2026