Employee Attrition Prediction uses AI to estimate each employee's probability of leaving, enabling proactive retention interventions, by scoring employees against engagement, satisfaction, and market signals, across HR and workforce analytics systems.
High employee turnover causes significant productivity loss, knowledge drain, and increased recruitment and onboarding costs. HR teams lack early, data-grounded signals to identify employees at risk before they resign.
The AI scores each employee's attrition probability using historical performance, engagement, satisfaction, and external labour market data, producing a ranked risk list for HR review and intervention.
Reduces voluntary turnover rate and associated recruitment spend; measured by reduction in annualised attrition percentage and cost-per-hire over rolling periods.
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