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AI for HR: Harnessing Claude for Human Resource

This intensive 2-day course equips Human Resource professionals with practical Generative AI skills spanning the entire employee lifecycle — from recruitment and onboarding, through employee relations, learning and development, and performance management, to compensation, workforce planning, and offboarding. Using Claude, participants learn how to apply AI to real HR tasks at every stage of the employee journey, improving the speed, consistency, and quality of HR documentation, communication, and decision support — all while safeguarding sensitive people data.

The programme balances foundational AI literacy with hands-on, prompt-driven practice across each lifecycle stage, closing with a dedicated look at ethics, security, legal, and responsible AI use in people decisions. By the end of the course, participants will be able to apply Claude confidently and responsibly across the full employee lifecycle.

Objective

By the end of this course, participants will be able to:

• Apply Generative AI Across the Employee Lifecycle: Use Claude to support recruitment, onboarding, learning & development, performance, rewards, and offboarding.
• Write Effective HR Prompts: Master role prompting, context-setting, and few-shot examples tailored to HR tasks.
• Accelerate HR Documentation: Draft job descriptions, screening criteria, interview questions, policies, and onboarding materials significantly faster using Claude.
• Strengthen Employee Communications and L&D Content: Personalise announcements, engagement surveys, training outlines, and learning summaries with consistent quality.
• Manage AI-Assisted Employee Relations: Draft investigation summaries, grievance documentation, and disciplinary correspondence using neutral, professional language.
• Communicate Compensation & Total Rewards Clearly: Translate market benchmarking data and pay structures into plain-language employee communications.
• Support Workforce Planning & Offboarding: Draft succession readiness notes and synthesise exit interview themes into actionable HR insights.
• Apply Ethical, Secure & Legally Responsible AI Practices: Recognise risks relating to bias, employee privacy, data security, and legal compliance when using AI in HR.

Outline

AGENDA — DAY 1
The Employee Lifecycle: Foundations, Recruitment, Onboarding & Employee Relations

Time	Session
8:30 AM	Introduction and Networking Among Delegates
9:00 AM	Introduction to A and Generative AI Foundations for HR How Generative AI works, explained in plain language Overview of Claude and how it applies across the employee lifecycle The HR professional's shift from manual drafting to AI-assisted output Common myths and misconceptions about AI in HR Setting realistic expectations: what AI can and cannot do, and the importance of reviewing outputs for accuracy HR Takeaway: AI does not replace HR judgment — it accelerates drafting and analysis so HR can focus on people decisions. Hands-on Exercise with Claude: The HR Lifecycle AI Opportunity Map. Participants map where AI can support each stage of their organisation's employee lifecycle, from attraction to offboarding.
10:15 AM	Morning Break
10:30 AM	Prompting Skills for HR Tasks Crafting clear, effective prompts: role prompting, context-setting, few-shot examples Common prompting mistakes that produce generic or inaccurate HR content Structuring prompts for tone, format, and length control Iterating and refining prompts through follow-up instructions Applying the same prompting approach consistently across different stages of the employee lifecycle Hands-on Exercise with Claude: The Prompt Builder. Use Claude to turn a rough HR request into a well-structured prompt.
11:30 AM	AI for Recruitment & Selection Drafting clear job descriptions and screening criteria Creating screening criteria and generating structured interview questions Reducing bias in recruitment language Drafting candidate outreach and rejection communications Summarising candidate resumes against role requirements Hands-on Exercise with Claude: The Job Description Generator. Feed Claude a role brief to produce a complete, bias-checked job description.
12:30 PM	Lunch Break
1:30 PM	AI for Onboarding, Employee Relations, and Communication Creating onboarding plans, guides, FAQs, and welcome messages Converting approved policies into clear employee guidance Drafting internal announcements and manager communications Organising investigation notes into a clear timeline Using neutral language for sensitive HR correspondence Separating verified facts from assumptions and opinions HR Takeaway: Claude may help organise information and improve language, but it must not decide credibility, misconduct, or disciplinary outcomes. Hands-on Exercise with Claude: The HR Communication Refiner. Participants improve one onboarding or sensitive HR communication for clarity, neutrality, and accuracy.
3:15 PM	Afternoon Break
3:30 PM	AI for Employee Relations & Workplace Communication Drafting investigation summaries and grievance documentation Preparing disciplinary correspondence in neutral, professional language Structuring fact-finding notes into a clear timeline of events Drafting mediation and conflict-resolution talking points Drafting manager coaching notes for difficult 1:1 conversations HR Takeaway: AI can help structure and improve the tone of sensitive communications, but HR must always verify facts and maintain confidentiality. Hands-on Exercise with Claude: The Investigation Summary Builder. Prompt Claude to turn raw investigation notes into a structured, objective incident summary.
5:00 PM	Q&A Session with the Trainer
5:30 PM	End of Day 1

AGENDA — DAY 2
The Employee Lifecycle Continued: Learning, Performance, Rewards, Workforce Planning, Ethics, Security & Legal

Time	Session
8:30 AM	Networking Among Delegates
9:00 AM	AI for Learning & Development Designing training outlines and learning summaries Generating quizzes and knowledge checks Drafting learning objectives aligned to competency frameworks Turning long content into short learning materials Adapting content for different employee groups Creating role-play scenarios and case studies for training sessions Summarising post-training feedback into actionable insights Hands-on Exercise with Claude: The Training Outline Builder. Use Claude to convert a learning objective into a structured training outline.
10:15 AM	Morning Break
10:30 AM	AI for Performance Management Drafting appraisal feedback and performance summaries Maintaining a fair, consistent tone across employee reviews Structuring goal-setting and development plans Drafting performance improvement plan (PIP) documentation Summarising 360-degree feedback into clear themes HR Takeaway: AI-drafted feedback still requires human review — HR remains accountable for fairness and accuracy in every output. Hands-on Exercise with Claude: The Feedback Refiner. Participants improve a short performance comment using supplied workplace evidence.
12:30 PM	Lunch Break
1:30 PM	AI for Workforce Planning, Succession & Offboarding Summarising talent pipeline data and drafting succession readiness notes Structuring exit interview themes and offboarding checklists Drafting workforce planning scenarios and headcount summaries Mapping employee skills against role requirements to identify internal mobility opportunities Drafting offboarding communications and knowledge-transfer checklists Hands-on Exercise with Claude: The Exit Interview Synthesiser. Prompt Claude to synthesise exit interview responses into a themed summary with actionable HR insights.
3:15 PM	Afternoon Break
3:30 PM	Ethics, Security, Legal & Responsible AI Use in HR Bias, fairness, and responsible use of AI in people decisions Handling employee PII with AI tools: local data protection regulations and considerations Applying data security practices when using AI with sensitive HR information Legal and compliance considerations: accountability, record-keeping, and human oversight in AI-assisted HR decisions Recognising when to rely on AI support versus human judgment at each lifecycle stage Capstone: applying Claude to a real HR task from participants' own roles Hands-on Exercise with Claude: The HR AI Risk Check. Participants review a short HR scenario, identify an ethical, security, or legal risk, and recommend a safeguard.
5:00 PM	Q&A Session with the Trainer
5:30 PM	End of Day 2

Profile of Prabhjit Singh

Prabhjit is a seasoned learning and development professional with over two decades of experience designing and delivering high-impact training programs. His specialties include AI Tools, Cybersecurity Awareness, Digital Marketing (Facebook), Design Thinking, and Service Excellence—skills vital for today’s professionals and organisations. Known for his engaging, interactive training style, Prabhjit creates dynamic learning environments that encourage active participation and practical application. Since 2024, he has trained and mentored over 1,000 individuals across 60+ sessions, consistently receiving satisfaction ratings above 90%.

Holding a degree from the National University of Singapore and certifications including ACTA (Singapore) and HRD Corp (Malaysia), Prabhjit brings a wealth of real-world expertise from his background in communications, customer service, digital marketing, and team development. His commitment to excellence, creativity, and results-driven facilitation has made him a trusted trainer for clients seeking meaningful, impactful learning experiences. He is available for collaborations and dedicated to elevating the quality of any training initiative he partners with.