For Indian employers and HR teams

Employee GenAI usage policy for India that teams can actually follow

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A ready to use policy outline you can adapt for your company. It focuses on two areas where teams make costly mistakes: sharing confidential data in ChatGPT style tools, and unclear ownership of AI generated work.

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Confidentiality first Clear rules on what must never be pasted, uploaded, or connected

Clean ownership Company work product stays with the company, even when GenAI helps

India ready HR Practical controls that sit alongside your Labour Code 2025 readiness work

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1. Scope and approved tools

Define who the policy covers and which GenAI tools are approved for work. Include employees, interns, contractors, and vendors working on company systems.

Approved accounts and workspaces only, if your company provides them
No connecting chat tools to company drives, email, ticketing, or code repos without written approval
External facing outputs need review before they are shared

Helpful reference: Essential employment policies guide

2. Confidentiality rules for ChatGPT style tools

This is the part most teams need in plain language. Assume prompts and uploads may be stored by the provider.

Never paste or upload

Client data, contracts, SOWs, pricing, invoices, bank details
Source code, architecture diagrams, private repo content
Passwords, API keys, tokens, certificates, or access links
Employee personal data such as Aadhaar, PAN, bank, salary, medical records

Allowed with care

Public information and generic templates
Redacted samples where identifiers are removed and cannot be reconstructed
Fully synthetic examples and fabricated test data

3. Copyright and ownership of AI generated work

Keep this consistent with your offer letter and employment terms. The simplest rule is that work product created in the course of employment is owned by the company, even when AI helps draft it.

Employees must not claim personal ownership of company deliverables due to AI assistance
Do not accept tool terms on behalf of the company without approval
Maintain proof of rights for any third party assets used in marketing

If your team needs a clean baseline for employment letters, use Offrd templates aligned to Labour Code 2025: Create free offer letter

4. Code, licenses, and review controls

Treat AI output like code copied from the internet. It can be wrong, insecure, or licensed in ways you do not want.

Mandatory code review before merge or release
Run security scanning and dependency checks where your process supports it
Avoid copying large blocks of AI output into production without validation
Document key design decisions for audit and maintenance

For HR teams and founders, these checks mirror the same idea as keeping clean employee records for audits.

Labour Code 2025 readiness and everyday HR records

Many Indian companies are updating appointment letters, salary structure, and digital records as Labour Code 2025 requirements and interpretations evolve. Your GenAI policy should support that effort, not create new risk.

Do not paste payslips, wage registers, PF or ESI details into public chat tools
Keep policy drafts, appointment letters, and salary breakup formats inside your company systems
For any statutory wording, rely on your CA or legal advisor for final review

5. Training, enforcement, and reporting

Policies work when people know what to do when they make a mistake. Add a simple reporting path and keep the steps short.

Report accidental disclosure immediately to your IT or security contact
Save final work in company systems, not in chat history
Repeat issues trigger access restrictions and HR action

If you want a one page checklist for managers, you can add it as an appendix.

6. Template add ons for HR

If your HR team is building a full policy set, these pages are useful companions.

FAQ

Quick answers HR teams in India usually need when rolling this out.

Can employees use ChatGPT for work tasks

Yes, if you define approved use and keep confidential information out of prompts and uploads. The policy should list what must never be shared and when review is required before external use.

Who owns AI generated work created during employment

In most companies, work product created in the course of employment is owned by the company. Your policy should align with your existing employment and IP assignment terms.

Should we ban AI tools completely

Most teams get better results by allowing safe use cases and banning risky ones. The key is to keep rules specific so people can follow them under time pressure.

Does Offrd support HR letters and document templates

Offrd supports HR letters and core documents such as offer letters, joining letters, experience letters, and payslips. See the supported documents page for the current list.

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Disclaimer: This page is informational and does not replace professional legal advice. For statutory interpretation and company specific decisions, rely on your CA or legal advisor.