AI for HR Professionals

Indian HR professionals navigate a complex landscape: multiple state-specific labour laws, PF and ESI compliance, diverse cultural contexts in multinational workforces, and the challenge of hiring at scale for a fast-growing economy. AI tools significantly reduce the time spent on repetitive documentation tasks. This guide covers the most useful applications.

What You'll Learn

• Writing effective job descriptions with AI
• Resume screening prompt frameworks
• Interview question generation for different roles
• Policy document drafting
• Employee communication templates
• India-specific labour law compliance considerations
• 3 ready-to-use HR prompt templates

Use Case 1: Job Description Writing

Generic job descriptions attract generic candidates. AI helps write specific, compelling JDs quickly.

JD writing prompt:

Write a job description for:
Role: [Job title]
Company: [Company name] — [one-line description of the company]
Department: [department name]
Location: [city, India / remote / hybrid]
Experience required: [years]
Employment type: [full-time / contractual / internship]

Responsibilities (I will finalize, but start with these key points):
- [Responsibility 1]
- [Responsibility 2]
- [Responsibility 3]

Required qualifications:
- Education: [degree requirement]
- Technical skills: [list key skills]
- Soft skills: [list 2-3]

Compensation: [specify or "competitive, based on experience"]

The JD should:
- Be specific enough to filter unqualified applicants
- Be attractive to top talent in India's competitive job market
- Avoid discriminatory language (age, gender, religion)
- Comply with applicable equal opportunity standards
- Be in clear, plain English (our candidates may be non-native English speakers)

🇮🇳 India Note: Indian labour law prohibits discrimination in hiring based on religion, caste, sex, and place of birth under Article 15/16 (for public sector) and increasingly under state-level employment laws. AI-generated JDs should be reviewed to remove any inadvertently exclusionary language.

Use Case 2: Resume Screening Prompts

AI can help you develop consistent screening criteria and review resumes faster:

Screening criteria framework:

I am hiring for a [role title] position.
We have received [number] applications.

Help me create a structured resume screening rubric.

Must-have requirements:
- [Requirement 1]
- [Requirement 2]
- [Requirement 3]

Nice-to-have (differentiators):
- [Factor 1]
- [Factor 2]

Red flags to screen out:
- [Flag 1, e.g., "Shorter than 6 months at last 3 companies"]
- [Flag 2]

Create a scoring matrix: 0-5 scale for each criterion with clear scoring guidelines.
This will help my team screen consistently.

Important note on AI resume screening: Automated resume screening raises bias concerns. Use AI to develop the criteria and framework, but have human reviewers apply it. Never use AI to directly accept or reject candidates without human review.

Resume screening template:

Evaluate this resume against our requirements for [position].

Requirements:
[paste your requirements]

Resume:
[paste the resume text — remove candidate's name and contact information first]

Rate:
1. Technical skill match (1-5): [score and brief justification]
2. Experience relevance (1-5): [score and brief justification]
3. Education fit (1-5): [score and brief justification]
4. Career progression (1-5): [score and brief justification]
5. Overall recommendation: [Strong Yes / Yes / Maybe / No] + 2-sentence justification

Do not infer gender, age, or personal characteristics.

Use Case 3: Interview Question Generation

Generate interview questions for a [role title] at a [company type].
Round: [HR screening / technical / culture fit / final panel]

Focus areas for this role:
- [Skill area 1]
- [Skill area 2]
- [Competency area]

Question types to include:
- Behavioral (past experience: "Tell me about a time when...")
- Situational (hypothetical: "What would you do if...")
- Technical (knowledge check — describe the depth)
- Cultural fit (values alignment)

India-specific context:
This role requires [remote collaboration with international teams / working with diverse regional teams across India / specific industry knowledge].
Include 1-2 questions relevant to this context.

Total: [10-15 questions] with [follow-up probes for each main question]

Use Case 4: Policy Document Drafting

HR policies require accuracy — errors can create legal liability. Use AI for first drafts and have HR/legal review before implementing:

Draft an HR policy on [topic].

Company type: [startup / SME / large enterprise]
Employees: [number] employees in [states where you operate]
Industry: [IT / manufacturing / retail / other]

Policy requirements:
- Comply with [specific Act if known — e.g., "Sexual Harassment of Women at Workplace Act 2013 (POSH)"]
- Company stance: [describe any specific company positions]
- Scope: [who this applies to — all employees / specific grades / specific locations]

Draft the policy with:
1. Purpose
2. Scope
3. Policy statement
4. Procedures / process
5. Roles and responsibilities
6. Violations and consequences
7. Review date

Note: This draft must be reviewed by HR and legal counsel before implementation.
Jurisdiction: [state(s) where you operate]

💰 Free Deal: Claude's free tier handles policy document drafting well. For a complete HR policy manual (leave policy, POSH policy, code of conduct, grievance redressal, attendance policy), Claude can draft all of them with one session's free limit covering each document in sequence.

Use Case 5: Employee Communication

Announcement drafts:

Write an internal communication to all employees about:
Topic: [describe the change/announcement]
Type of message: [good news / policy change / difficult news / company update]
Tone: [warm and transparent / professional and clear / empathetic]
Key messages to include:
- [Main point 1]
- [Main point 2]
- How it affects employees: [explain impact]
- What employees need to do: [action items if any]
- Who to contact with questions: [HR contact]
Length: [short paragraph / 1 page]
Language: English (Hindi translation to follow separately)

India Labour Law Context for HR AI Use

Several key laws that should inform AI-generated HR documents:

Central laws:

• Industrial Disputes Act 1947 — retrenchment, layoff, closure procedures
• Employees' Provident Funds Act 1952 — PF deduction (12% employer + 12% employee for 20+ employee companies)
• Employees' State Insurance Act 1948 — ESI contribution (3.25% employer on salary up to ₹21,000/month)
• Payment of Gratuity Act 1972 — mandatory gratuity for 5+ year employees
• Maternity Benefit Act 1961 — 26 weeks paid maternity leave
• POSH Act 2013 — mandatory Internal Complaints Committee, annual report

State laws: Each state has its own Shops and Establishment Act governing working hours, holidays, overtime. Always specify the state when asking AI to draft employment-related policies.

What are the Shops and Establishment Act requirements for a technology company in [state]?
Specifically: working hours, weekly off, overtime, and annual leave entitlement.
Note: I will verify with the state labour department before implementing.

3 Ready-to-Use HR Templates

Template 1: Offer Letter

Draft an offer letter for:
Position: [job title]
Company: [company name, registered address]
Candidate name: [name]
CTC: ₹[amount] per annum (breakdown: fixed ₹[amount], variable ₹[amount])
Start date: [date] or [within X days of acceptance]
Location: [city / remote / hybrid with reporting location]
Reporting manager: [name and designation]

Include standard clauses: probation period (typically 3-6 months), notice period, confidentiality, IP assignment, background verification required before joining.
Indian employment convention: specify gross monthly salary separately.

Template 2: Performance Improvement Plan (PIP)

Draft a Performance Improvement Plan for an employee with performance concerns.
Role: [employee's role]
Key performance gaps: [list 2-3 specific, observable gaps]
Duration of PIP: [30/60/90 days — typically 90 days]
Measurable targets: [specific targets they must achieve]
Support to be provided: [training, mentoring, resources]
Review check-ins: [weekly / bi-weekly with manager]
Consequences of not meeting PIP targets: [as per company policy — typically termination]

Tone: firm but supportive — the goal is improvement, not documentation for termination.
Note: This draft should be reviewed by HR before issue. Ensure compliance with ID Act and company standing orders.

Template 3: Employee Grievance Acknowledgment

Write an acknowledgment letter for an employee grievance.
Grievance type: [general / POSH complaint / discrimination / other]
Grievance received: [date]
Next steps per our process: [describe what happens next — investigation, timeline]
Employee rights: [what the employee is entitled to in this process]

Tone: empathetic, professional, non-committal on outcome (investigation not yet done)
Confidentiality assurance: include

Official Resources

• Ministry of Labour & Employment India — Central labour law reference
• EPFO — PF compliance and portal
• ESIC — ESI compliance and portal
• National Career Service — Government job portal
• NASSCOM HR Community — Indian IT industry HR resources