The Impact of Artificial Intelligence on Human Resource Management: Strategy and Implementation

Duration: 2 Weeks
Total Hours: 40 Hours (20 Hours per Week)
Delivery Mode: Face-to-Face
Location: London

Introduction

Human Resource Management (HRM) is undergoing a strategic transformation as Artificial Intelligence (AI) becomes embedded across organisational systems and decision-making processes. HR is no longer limited to administrative support; it is now a central driver of business performance, workforce intelligence, and employee experience. AI technologies are accelerating this shift by automating operational tasks, enhancing predictive capability, and enabling personalised and data-driven HR strategies.

The KE Leaders two-week intensive programme, AI-Driven Human Resource Management: Strategy and Implementation, provides a comprehensive and applied understanding of AI across the entire employee lifecycle. Expanding beyond foundational awareness, this 40-hour course equips HR professionals with strategic frameworks, practical tools, case studies, implementation models, and hands-on workshops to confidently lead AI-enabled HR transformation initiatives within their organisations.

Participants will develop the capability to critically evaluate AI solutions, design AI-driven HR strategies, manage implementation risks, and align HR innovation with organisational goals and governance requirements.

Objectives

By the end of this 40-hour programme, participants will be able to:

• Explain core AI concepts and their strategic relevance to HRM
• Analyse the impact of AI across the full employee lifecycle
• Design AI-enabled HR strategies aligned with business objectives
• Evaluate AI platforms and vendors using structured criteria
• Apply workforce analytics and predictive models in HR decision-making
• Address ethical, legal, and governance challenges in AI implementation
• Develop an actionable AI roadmap for their organisation

Training Methodology

This advanced programme combines:

• Instructor-led interactive sessions
• Practical workshops and simulations
• Real-life HR case studies
• Group strategy labs
• AI tool demonstrations
• Scenario-based discussions
• Action planning exercises

The course is designed for HR professionals without technical programming backgrounds. It focuses on strategic application, governance, evaluation, and leadership rather than coding or technical development.

Organisational Impact

Organisations sponsoring delegates will benefit from:

• Increased HR operational efficiency and cost optimisation
• Improved talent acquisition accuracy and reduced hiring bias
• Data-driven workforce planning and retention strategies
• Stronger digital transformation alignment within HR
• Clear governance frameworks for responsible AI adoption
• Enhanced strategic contribution of HR to executive decision-making

Who Should Attend?

This KE Leaders programme is suitable for:

• HR Directors and Senior HR Managers
• HR Business Partners
• Talent Acquisition Leaders
• Learning and Development Managers
• HR Analysts and Workforce Planning Specialists
• Organisational Development and Strategy Professionals
• Digital Transformation and Change Leaders

Detailed Two-Week Course Outline 

Week 1 – Foundations and Functional Applications 

Day 1 – Strategic Foundations of AI in HR 

• Introduction to Artificial Intelligence: concepts, terminology, and types of AI
• Machine learning, automation, NLP, and generative AI in HR
• Evolution of AI in business and people management
• AI maturity models in HR functions
• Risks, limitations, and misconceptions
• Interactive discussion: Assessing your organisation’s AI readiness

Day 2 – AI in Talent Acquisition and Workforce Entry 

• AI-powered sourcing and intelligent CV screening
• Applicant tracking systems with AI integration
• Automated interviews and assessment technologies
• Reducing algorithmic bias in recruitment
• AI-enabled onboarding journeys and digital experience
• Workshop: Designing an AI-enhanced recruitment process

Day 3 – AI in Learning, Development, and Performance 

• Personalised learning pathways and adaptive learning systems
• AI-driven skills mapping and capability forecasting
• Performance analytics and predictive performance models
• Career pathing and succession planning using AI
• Workshop: Building an AI-supported development framework

Day 4 – Employee Engagement and Experience Analytics 

• AI-powered engagement monitoring tools
• Sentiment analysis and pulse surveys
• Chatbots and virtual HR assistants
• AI in wellbeing monitoring and retention strategy
• Ethical use of employee data
• Case Study Analysis: AI and employee trust

Day 5 – Workforce Analytics and Predictive HR 

• Foundations of HR analytics
• Predictive modelling for turnover and absenteeism
• Workforce demand forecasting
• AI in diversity, equity, and inclusion monitoring
• Linking HR data to business KPIs
• Practical Exercise: Interpreting workforce analytics dashboards

Week 2 – Governance, Strategy, and Implementation 

Day 6 – Data Governance, Compliance, and Risk Management 

• Data protection and privacy in AI-driven HR systems
• Legal and regulatory considerations (UK and international context)
• Algorithmic transparency and accountability
• Managing AI risks in HR decision-making
• Developing ethical AI policies

Day 7 – Vendor Evaluation and AI Technology Selection 

• Understanding AI vendor ecosystems
• Build vs Buy decision frameworks
• Evaluating AI tools using structured criteria
• ROI analysis and cost-benefit evaluation
• Workshop: Creating an AI vendor evaluation matrix

Day 8 – Change Management and Digital HR Transformation 

• Leading AI adoption within HR teams
• Overcoming resistance to AI
• Digital capability building in HR
• Stakeholder engagement strategies
• Integrating AI into existing HR operating models
• Group Activity: Designing a digital HR transformation roadmap

Day 9 – Building the AI Business Case 

• Strategic alignment with corporate objectives
• Developing KPIs and success metrics
• Measuring impact and return on investment
• Communicating AI value to senior leadership
• Practical Lab: Drafting a business case for AI in HR

Day 10 – Capstone Project and Strategic Action Planning 

• Group presentations: AI implementation proposals
• Peer review and feedback
• Identifying quick wins vs long-term strategy
• Creating AI HR implementation roadmap
• Programme summary and leadership reflection

Assessment & Learning Integration

• Continuous participation and engagement
• Practical workshops and applied exercises
• Final AI Implementation Action Plan