Role Playbook

AI for HR & People Management: Start Here

Your starter guide to using AI for HR work — performance reviews, difficult conversations, and weekly updates. Practical, privacy-first, and built for Indian corporate reality.

What this page is: A curated starting point for HR and people management professionals in India. Three proven workflows, a ready-to-paste prompt for drafting fair feedback, and the critical mistakes to avoid when using AI for anything involving employee data.

Your first 3 AI workflows

These are the highest-impact workflows for someone in HR or people management. Start with any one and try it this week.

Try this prompt right now

Before you read anything else, copy this prompt and use it to draft fair, specific performance feedback. Remember: sanitize all names and employee details before pasting.

Prompt — Copy into ChatGPT / Claude / Gemini
Below are my raw observations for [Subject]'s annual performance review.

Take these points and draft a 200-word summary:
- Start with key wins and contributions
- Pivot to one clear area for growth (be specific, not vague)
- End with a forward-looking sentence about the next review period

Tone: encouraging but honest. Do not use words like "synergy," "supercharge," "rockstar," or "passionate."
Do NOT make the feedback too glowing — keep it grounded in specific behaviors.

IMPORTANT: I have already sanitized all names and project details below. Do not ask me to add them back.

My raw observations:
[PASTE YOUR SANITIZED NOTES HERE]

Common mistakes for this role

Using AI for HR work carries higher stakes than most roles. Avoid these critical mistakes:

  • Pasting real employee names into AI tools. Always use placeholders like “[Subject]” and “[Project X].” Free-tier AI tools may use your data for training — one leaked name in a performance context is a serious compliance risk.
  • Using AI to fabricate feedback. AI can polish and structure your observations, but it cannot observe your employees. Never let AI generate feedback for someone you haven’t actually watched work.
  • Copying AI output without adding your own judgment. AI-generated reviews sound impressive but generic. Your job is to add the “So what?” — the specific example, the context only you know, the nuance that makes feedback actionable.
  • Using AI for formal HR complaints or grievance responses. These need your exact words, not AI-polished language. AI can accidentally weaken urgency or strip out important emotional context.
K

Kalpit is a Bengaluru-based Consultant with 5 years of experience, currently working at one of India's largest organizations in an AI-first environment. He built LearnAI.how to help Indian professionals cut through the hype and actually use AI at work.



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