Talent Retention

Use AI to improve employee retention through skills analysis and engagement tools.

Business impact

• Employee Retention Rate — Improved by identifying skills gaps and aligning career development opportunities
• Employee Engagement — Increased through personalized learning and communication enhancements
• Internal Mobility Rate — Higher due to AI-driven career pathing and skills matching
• Employee Turnover Rate — Reduced by predicting attrition risks and addressing burnout proactively
• Operational Efficiency — Improved by automating administrative tasks and optimizing workforce deployment

Data requirements

• Employee Skills and Performance Data (Structured) — Used to identify skill gaps and career development needs
• HRIS and Payroll Systems (Structured) — Provide workforce demographics and turnover history for analysis
• Employee Engagement Surveys (Text) — Capture sentiment and feedback to tailor retention strategies
• Work Schedules and Attendance Records (Structured) — Help optimize staffing and detect burnout risks
• Document and Case Files (Text) — Analyze administrative workload to reduce employee burden

AI methods and techniques

• Predictive AI — Forecasts turnover risk and identifies retention opportunities based on data patterns
• Generative AI — Creates personalized learning content and career path recommendations
• Agentic AI — Automates routine HR tasks and supports employee interactions via digital assistants

AI models and model families

GPT-4o, Claude, Llama, Workday ML models, Custom predictive models

Industries

Real-world evidence

5 documented case studies on record.

Companies using this: DHL Supply Chain, Dayshape, Griswold, HP, Jackson County Job Family Services.