HR teams that still run recruitment, scheduling, and performance reviews entirely by hand are competing against organisations that have already handed the repetitive parts of that work to AI. The gap is no longer about ambition — it is about capability. This training course from the Arab British Fellowship Training Academy builds that capability directly, module by module, tool by tool.

Participants move through how intelligent systems are already reshaping candidate screening and selection, then into AI-supported performance evaluation that replaces annual guesswork with continuous, data-backed feedback. The course dedicates real time to the guardrails too — bias, fairness, and data privacy — before moving into predictive planning, automated scheduling, chatbots, and the retention strategies that keep good people from walking out the door.

By the end, participants leave with a working map of where AI fits in the HR function, and where it should not be trusted to decide alone.

Course Objectives:

• Review the factors driving AI adoption across recruitment, retention, and performance management.
• Apply predictive analytics to workforce planning with practical, HR-relevant examples.
• Strengthen HR decision-making and automate routine processes using AI tools.
• Identify ethical risks and data-privacy exposure before they become compliance problems.
• Use AI-powered scheduling and virtual-assistant tools to work more efficiently day to day.

Who Should Attend?

• HR managers and executives ready to bring AI into daily operations.
• Workforce planners, analysts, and recruiters focused on accuracy and strategic talent management.
• Organisational development experts and HR tech consultants tracking new AI applications.
• Business leaders and decision-makers responsible for HR transformation.

How Will Attendees Benefit?

• Apply AI to real HR challenges and smooth out day-to-day workforce operations.
• Base decisions on predictive analytics and AI tools instead of guesswork.
• Strengthen recruitment and performance processes through automation and data.
• Build stronger engagement and retention with personalised, AI-supported strategies.
• Use AI ethically, with a clear grip on fairness, data protection, and legal compliance.
• Reduce administrative load with chatbots, virtual assistants, and smart scheduling — while staying current with where the field is heading.

Module 1: The Operational Case for AI in HR

• Where AI is already changing day-to-day HR operations.
• Benefits and real limitations of adopting AI in HR.
• Evolution of AI within human resource practice.

Module 2: Smarter Hiring — AI in Recruitment and Talent Acquisition

• Intelligent screening tools and automated CV analysis.
• AI-powered candidate matching systems.

Module 3: Reading Performance Differently — AI-Enabled Evaluation and Feedback

• Continuous feedback mechanisms instead of annual reviews.
• AI-supported performance metrics and KPIs.

Module 4: Guardrails — Ethics, Fairness, and Data Privacy in HR AI

• Fairness, transparency, and bias mitigation in AI systems.
• Legal frameworks and compliance requirements.
• Secure handling of employee data.

Module 5: Seeing Ahead — Predictive Analytics for Workforce Planning

• Forecasting staffing needs before they become urgent.
• Identifying skill gaps and future role requirements.

Module 6: Automating the Routine — Scheduling, Shifts, and Virtual Assistants

• AI solutions for scheduling and time management.
• Smart rostering and workload balancing.
• Streamlining internal HR queries with chatbots and virtual assistants.

Module 7: Keeping People, Not Just Filling Seats — AI for Engagement and Retention

• Personalised communication using AI.
• Measuring employee sentiment and satisfaction.
• Enhancing candidate and employee experience.

Module 8: From Insight to Action — AI in HR Decision-Making

• Data-driven decisions versus traditional methods.
• Case studies and real-world HR applications.

Module 9: Making It Stick — Implementing AI and Building Team Capability

• Strategies for smooth integration into existing HR systems.
• Training HR teams on AI adoption.