Workforce Planning

Use AI to optimize talent allocation and improve workforce agility and productivity

Business impact

• Workforce agility — Improves ability to adapt staffing quickly to changing business demands
• Employee retention rate — Enhances engagement and reduces turnover through better planning and support
• Time to hire — Speeds recruitment by forecasting needs and optimizing hiring processes
• Operational efficiency — Optimizes resource use and reduces labor costs via predictive analytics
• Talent pipeline quality — Improves candidate sourcing by analyzing talent connections and market data

Data requirements

• HRIS and ATS data (Structured) — Provides structured employee and candidate information for analysis
• Labor market intelligence (Numeric) — Offers external market trends and compensation benchmarks for planning
• Employee feedback and engagement surveys (Text) — Captures sentiment and retention risk signals to inform planning
• Workforce productivity metrics (Numeric) — Measures operational performance to optimize staffing levels
• Skills inventories and job models (Structured) — Defines role requirements and skill gaps for targeted development

AI methods and techniques

• Predictive AI — Forecasts workforce demand, attrition, and skill gaps for proactive planning
• Generative AI — Supports scenario modeling and continuous strategic workforce planning
• Agentic AI — Automates routine HR tasks and assists decision-making under human supervision

AI models and model families

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

Industries

Real-world evidence

10 documented case studies on record.

Companies using this: Chipotle Mexican Grill, Cochlear, Dayforce Inc, Dutch Bros Coffee, Global, KPMG, Potbelly Corp, Telstra, The Saxton Group, UNICEF.