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Human Resources is undergoing one of the most significant transformations in its history. For decades, HR has focused on people management, compliance, and organizational development. But today, a new force is reshaping how HR functions operate — Artificial Intelligence.
AI is no longer just a technology trend. It is becoming a strategic capability that is redefining how organizations attract, develop, engage, and retain talent. From automating repetitive administrative work to generating data-driven insights about workforce performance, AI is enabling HR teams to shift their focus from routine tasks to high-impact, strategic decision-making.
In the early stages, many organizations used AI primarily to improve productivity — automating resume screening, scheduling interviews, or answering employee queries through chatbots. While these gains are valuable, they represent only the first layer of AI’s potential in HR.
The real transformation happens when AI moves beyond task automation and becomes embedded into intelligent HR operations — systems that can anticipate workforce needs, personalize employee experiences, enhance learning and development, and support leaders with predictive insights.
This masterclass is designed to help HR leaders, practitioners, and professionals understand how to move from isolated AI tools to an integrated AI-augmented HR ecosystem. We will explore practical use cases, strategic frameworks, and real-world applications that demonstrate how AI can elevate HR from a support function to a data-driven strategic partner.
By the end of this session, you will gain a clearer understanding of how to leverage AI responsibly, effectively, and ethically to build smarter HR processes, empower employees, and create more adaptive organizations.
Contents:
- AI for the Modern HR Function
Objective: AI as cognitive augmentation for HR professionals
- The evolution of AI in HR
- What HR work is most AI-ready (and what is not)
- Gen AI vs Agentic AI
Case Studies: how organisations are leveraging AI in HR
Some AI related myths
Outcome: Understand where AI fits in HR decision-making and where human judgment remains non-negotiable
- Generative AI Foundations for HR
Objective: Build strong prompting and thinking skills, not just tool familiarity
- What are LLMs
- Prompting-frameworks for HR with use cases
- Reducing hallucinations in HR outputs
- Using AI as
- Research assistant
- Drafting partner
- Reviewer & improver
Hands-on workshop: Prompt Engineering
Outcome: Learn how to get consistently high-quality outputs using prompts, not random responses.
- AI for Core HR Operations
Objective: Practical, daily HR workflows where AI saves time and improves accuracy
Talent Acquisition & Recruitment
- JD creation & optimization
- Bias-free resume screening
- Competency-based interview question generation
- Candidate summary briefs for hiring managers
Employee Lifecycle Management
- Offer letters & onboarding documentation
- Policy explanation & simplification
- FAQ generation for HR helpdesks
- Exit interview analysis & insights
Performance and Learning
- Goal drafting aligned to role and level
- Performance review summaries
- Learning path recommendations
- Training feedback and synthesis
Hands-on Workshop: Create AI workflows for core HR operations
Outcome: Clear mapping of “this is what I can delegate to AI tomorrow morning”
- HR Analytics & Decision Support using AI
Objective: Move HR from data-reporting to insight-generation
- Turning raw HR data into narratives
- Attrition analysis
- Engagement survey insights
- Diversity & inclusion reporting
- Creating executive-ready HR summaries
Using AI to
- Summarize trends
- Highlight anomalies
- Draft board-level HR narratives
- Ask better questions of your data using AI
Hands-on workshop: Convert HR data sets into insights and leadership summaries
Outcome: Learn how to “talk business” using HR data, faster and more confidently
- Introduction to Agentic AI for HR
Objective: Shift mindset from single prompts to multi-step AI workflows
- What is Agentic AI (in simple terms)
- Difference between
- One-off prompts
- Goal-driven AI agents
- HR-friendly agent examples
- Recruitment coordinator agent
- HR policy assistant
- Employee engagement monitoring agent
- Human-in-the-loop design for HR agents
Demo: Conceptual Walkthrough on how AI Agent works
Outcome: Understand the power of Agentic AI
- Designing Agentic Workflows for HR
Objective: Think like system designers, not just users
- How to create Agentic AI workflows
- Identifying Agentic AI touchpoints
- Triggers
- Tasks
- Decisions
- Escalations
- Output
- Preventing “runway” AI agents
- Risks and ethics check points
Hands-on workshop: Participants design agent workflows such as
- Continuous attrition risk monitoring
- Automated onboarding checklists
- Performance review cycle orchestration
- HR compliance reminder system
Outcome: Learn how the create HR agent blue prints
- Governance, Ethics & Risk in AI-Driven HR
Objective: Ensure responsible and compliant use of AI in HR
- Bias, fairness & explainability in HR AI
- Data privacy & security considerations
- What should never be fully automated
- Creating internal AI usage guidelines for HR teams
Outcome: Use AI confidently, without reputational or legal risk
- Roadmap for an AI-Ready HR Function
Objective: Convert learning into action at an organisational level
Creating AI driven HR capabilities
- Building an internal HR AI playbook
- Measuring ROI of AI in HR
- 30-90-180-day action plan for building AI ready HR team
Outcome: Learn how to go about building AI ready HR teams
Speaker Profile: Hareesh Tibrewala is an entrepreneur, board advisor, and expert in Artificial Intelligence, Digital Transformation, and Design Thinking, with over three decades of leadership experience. He co-founded Mirum (formerly Social Wavelength), one of India’s largest digital marketing agencies, which was acquired by WPP and scaled into a 300+ member organization serving global markets. A Certified Independent Director, Hareesh serves on multiple corporate boards and chairs key committees including Audit, CSR, and Digital Risk Management. He is currently Founder of Manabu, an AI-focused corporate training platform, and Non-Executive Chairperson of MeruLife, a digital ecosystem for active seniors. He mentors growth-stage entrepreneurs through Stanford Seed and partners with Social Venture Partners to scale high-impact NGOs. A frequent speaker and workshop leader, his expertise spans AI adoption, digital governance, data security, corporate strategy, and board-level digital oversight.
Note:
- 100% hands on workshop
- Participants should carry their own Laptops
- Practice assignments would be given during the workshop
- No recording to be done
