Performance reviews are often the part of the HR calendar everyone dreads — backward-looking, inconsistent between managers, and disconnected from the goals the business actually cares about. Generative AI is changing that, and the Generative AI for Performance Management course from the Arab British Fellowship Training Academy shows HR managers exactly how, by combining AI tools, machine learning, and natural language processing to sharpen employee evaluations, feedback, and goal-setting automation.

Attendees learn to turn AI-generated insights into data-driven decisions, use predictive analytics to spot performance trends early, and build real-time dashboards that scale with the organisation — all while keeping the ethics of the exercise front and centre: reducing bias, using transparent systems, and protecting employee data.

Hands-on segments cover training simulations built on generative models, custom AI-assisted performance reviews, and personalised AI communication that keeps employees engaged. The course closes with practical work on aligning AI-backed performance management to organisational strategy, so HR managers leave able to turn conventional performance review thinking into an intelligent, automated, adaptive system.

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

• Understand the core principles of Generative AI and how they apply to performance management.
• Apply AI tools to streamline employee evaluation, goal tracking, and feedback mechanisms, and use predictive analytics and machine learning to advance HR decision-making.
• Build and implement AI-driven performance dashboards for continuous, real-time monitoring.
• Safeguard the ethical implementation of AI in HR, focusing on mitigating bias and ensuring privacy and data security.
• Create training simulations and AI-powered templates for performance reviews.
• Align AI-infused HR practices with the organisation's performance objectives.

Who Should Attend?

• HR Managers and HR Directors
• Talent Development Managers and Organisational Development Specialists
• Learning and Development Officers, and Performance Analysts
• AI Integration Leads in HR departments, and anyone applying Generative AI to workforce performance

How will attendees benefit?

• Gain practical Generative AI skills — machine learning, NLP, and generative models — for day-to-day HR functions.
• Make more objective, data-driven decisions about employee performance and development through predictive analytics.
• Save time through automation of evaluations, goal-setting, and feedback generation.
• Improve accuracy and fairness in performance assessments while reducing bias through ethical, transparent AI use.
• Strengthen employee connectivity with personalised feedback and growth paths that support morale and retention.
• Design customised AI tools and dashboards suited to their organisation's needs, aligned with strategic business objectives.
• Leave with an actionable roadmap for embedding Generative AI into HR for immediate and long-term impact.

Module 1: From Manual to Intelligent — Why AI Is Transforming Performance Management

• AI-driven performance systems: an overview
• Key AI applications in employee evaluation

Module 2: Core AI Tools and Data-Driven Decisions in HR

• Integrating NLP for automated feedback, and leveraging machine learning for performance analysis
• Using predictive analytics to identify performance trends, and extracting insights from AI-generated data
• Building real-time performance dashboards

Module 3: Automating Goals, Feedback, and Employee Engagement

• Automating SMART goals and personalising employee development plans using AI
• AI-assisted performance tracking systems
• Enhancing 360-degree feedback and coaching content through Generative AI, and improving engagement via intelligent communication

Module 4: Designing AI-Powered Reviews and Training Simulations

• Designing AI-generated performance templates, and tailoring feedback for different roles
• Automating review scheduling and documentation
• Creating virtual coaching sessions and AI-based training modules, and enhancing learning through adaptive simulations

Module 5: Using AI Responsibly — Ethics, Bias, and Data Security

• Addressing bias in AI models
• Ensuring data security and privacy compliance
• Promoting transparency in AI decision-making processes

Module 6: From Strategy to Implementation — Aligning AI with Business Goals

• Linking AI-driven HR outcomes to strategic business goals, and measuring the ROI of AI-enhanced performance systems
• Change management for AI integration in HR
• Real-world case studies, planning for AI adoption, and building an individual implementation action plan