Artificial Intelligence (AI) in Performance Management & KPIs
Training Duration
- Duration: 10 Days/ two weeks
- Total Training Hours: 40 Hours
- Delivery Mode: Classroom / Virtual / Hybrid
Training Objective
To equip HR professionals, managers, and leaders with practical skills to design, implement, and evaluate AI-driven performance management systems and intelligent KPIs that enhance productivity, fairness, decision-making, and organisational performance.
Day 1: Introduction to AI in Performance Management
Learning Outcomes:
- Understand limitations of traditional performance systems
- Explain why AI is transforming HR performance practices
- Identify key trends in AI-enabled HR
Topics:
- Evolution of performance management
- Static vs dynamic KPIs
- Role of AI in HR transformation
Case Study:
“Traditional Performance Appraisal Failure at a Retail Chain”
A UK retail organisation struggling with outdated annual appraisal systems leading to bias, disengagement, and high turnover.
Day 2: AI in Human Resource Management
Learning Outcomes:
- Understand AI applications across HR functions
- Describe AI impact on recruitment, engagement, and retention
- Identify ethical implications
Topics:
- AI in recruitment
- AI in L&D
- Sentiment analysis in engagement
Case Study:
“AI Recruitment System at a Global Logistics Company”
How AI screening reduced hiring time but raised fairness and bias concerns.
Day 3: Machine Learning in HR Analytics
Learning Outcomes:
- Understand predictive HR analytics
- Differentiate traditional vs AI-driven KPIs
- Recognise predictive indicators
Topics:
- Predictive attrition models
- Productivity forecasting
- Smart KPIs
Case Study:
“Employee Attrition Prediction in an IT Services Firm”
Using ML to identify employees at risk of leaving and early intervention strategies.
Day 4: Designing AI-Centric KPIs
Learning Outcomes:
- Build AI-ready KPI frameworks
- Select appropriate HR data sources
- Apply ethical KPI design principles
Topics:
- KPI architecture
- Data mapping
- Bias mitigation
Case Study:
“Designing Fair Performance Metrics in a Financial Services Organisation”
Balancing productivity KPIs with fairness and transparency in performance scoring.
Day 5: Implementing AI Performance Systems
Learning Outcomes:
- Understand AI system deployment steps
- Identify implementation challenges
- Evaluate HR tech solutions
Topics:
- System integration
- Vendor selection
- Change management
Case Study:
“Failed AI HR System Implementation in a Manufacturing Company”
A system launched without employee training leading to low adoption and mistrust.
Day 6: AI Dashboards and Real Time Performance Tracking
Learning Outcomes:
- Interpret AI dashboards
- Use real-time data for decision-making
- Analyse workforce behaviour trends
Topics:
- HR analytics dashboards
- Real-time monitoring
- Behavioural insights
Case Study:
“Real Time Performance Dashboard in a Tech Startup”
How live KPI tracking improved productivity but created pressure and monitoring concerns.
Day 7: Evaluating AI Models in HR
Learning Outcomes:
- Assess AI model performance
- Compare technical vs business metrics
- Understand model validation
Topics:
- Precision & recall in HR context
- Model drift
- Evaluation frameworks
Case Study:
“Predictive Hiring Model Accuracy Issues in a Consultancy Firm”
High accuracy in testing but poor real-world candidate-job matching.
Day 8: Measuring ROI of AI in Performance Management
Learning Outcomes:
- Calculate AI ROI in HR
- Link KPIs to business outcomes
- Evaluate financial and non-financial benefits
Topics:
- ROI frameworks
- KPI tree mapping
- Value realisation
Case Study:
“ROI Evaluation of AI HR System in a Banking Institution”
Assessing cost savings from reduced turnover and faster onboarding.
Day 9: Case Studies and Real-World Applications
Learning Outcomes:
- Analyse AI HR success stories
- Identify implementation risks
- Apply lessons to organisations
Topics:
- Predictive HR analytics
- Internal mobility systems
- Workforce optimisation
Case Study:
“Internal Mobility Success Using AI at a Global Tech Company”
AI based talent matching system improving retention and internal promotions.
Day 10: Future of AI in Performance Management
Learning Outcomes:
- Understand future AI trends in HR
- Explore human AI collaboration
- Design future-ready HR strategies
Topics:
- AI coaching systems
- Human-in-the-loop models
- Future KPI evolution
Case Study:
“AI Coaching Assistant Pilot Programme in a European Organisation”
Using AI-driven coaching tools to support employee development and goal setting.
Who Can Attend
- HR Managers & HRBPs
- L&D Professionals
- Performance & Talent Managers
- Team Leaders & Supervisors
- Organisational Development Consultants
- Data/HR Analysts
- Senior Executives (CHRO, COO, CEO)
Training Methodology
- Case study-led discussions
- Group KPI design workshops
- AI dashboard simulations
- Real-world HR analytics scenarios
- Interactive problem-solving exercises
10 Frequently Asked Questions (FAQs)
- What is AI in performance management?
AI in performance management uses data-driven algorithms to analyse, predict, and improve employee performance through intelligent KPIs and analytics.
- Do I need technical skills to attend this training?
No. The course is designed for HR and business professionals, not data scientists.
- How is AI different from traditional KPI systems?
Traditional KPIs are static and backward-looking, while AI-based KPIs are predictive, real-time, and adaptive.
- Can small companies use AI for performance management?
Yes. Many scalable AI tools are available for SMEs with limited budgets.
- Is AI replacing HR professionals?
No. AI supports HR decision-making but does not replace human judgment.
- What tools are used in AI performance management?
Common tools include HR analytics dashboards, predictive analytics platforms, and AI-powered HRIS systems.
- Is employee data safe in AI systems?
Yes, if proper governance, GDPR compliance, and ethical frameworks are in place.
- How does AI improve employee engagement?
AI analyses feedback, sentiment, and behaviour patterns to identify engagement issues early.
- What is a predictive KPI?
A KPI that uses AI and historical data to forecast future outcomes such as performance, turnover, or productivity.
- What is the ROI of AI in HR?
ROI includes cost savings, improved productivity, reduced turnover, faster hiring, and better decision-making.
- Where is this training available?
This training is delivered by KE Leaders London, a corporate training provider based in a central London location, making it easily accessible for local and international participants. We also offer on-site corporate training and in-house delivery for organisations upon request.
- Why should I choose KE Leaders for this training?
KE Leaders is a specialist in HR, leadership, and AI-driven corporate training. We combine academic expertise with real-world industry experience to deliver practical, applied learning. Our programmes are designed for professionals who want immediate workplace impact, not just theory.
- What makes KE Leaders different from other training providers?
KE Leaders offers a unique learning experience that includes:
- Use of VR (Virtual Reality) technology for immersive learning
- Real-world case studies from global organisations
- Study trips and experiential learning opportunities (where applicable)
- Integration of AI, HR analytics, and leadership practice
- Guest speakers from industry and academic experts
- Who delivers the training?
The training is delivered by an experienced team of HR professionals, AI specialists, and senior managers with both academic and industry backgrounds. Our trainers bring practical insights from corporate environments, ensuring relevance for managers, senior managers, and executives.
- Is KE Leaders suitable for senior professionals and organisations?
Yes. KE Leaders programmes are specifically designed for:
- Managers and senior managers
- HR professionals and business leaders
- Corporate teams and executive groups
Contact Info:
Enquiry at : admin@keleaders.com
Whatsapp: 0044 790 125 9494
For more details visit our website : www.keleaders.com
