HR Analytics and Predictive Retention Systems

Deploy machine learning models that analyze hundreds of behavioral and performance signals to identify employees at high risk of attrition with over 90% accuracy, enabling targeted intervention 6-9 months before departure.

Move beyond flagging risk to understanding why. Our platforms perform causal analysis on retention drivers—from manager effectiveness to compensation equity—and prescribe specific, evidence-based interventions for HR teams.

Directly quantify the financial impact of retention efforts. Our models calculate the cost of attrition per role and simulate the ROI of proposed interventions, allowing you to allocate resources to the highest-impact retention programs.

Provide leaders with real-time, anonymized dashboards showing team health indicators, predicted attrition risk, and recommended management actions. Empower managers to be the first line of defense in retention.

Built-in algorithmic fairness checks ensure predictions do not perpetuate historical biases. All models undergo disparate impact analysis and provide full audit trails for compliance with frameworks like the EU AI Act.

Seamlessly connect predictive insights to action within your existing HRIS, ATS, and LMS. Trigger automated workflows in Workday, SAP SuccessFactors, or Greenhouse to close the loop from prediction to intervention.

We build custom ML models (XGBoost, LightGBM) on your HRIS data to forecast attrition risk with >90% accuracy. Models are trained on hundreds of behavioral and environmental features to identify at-risk employees 3-6 months before departure.

We implement differential privacy and federated learning techniques to analyze sensitive employee data without exposing individual records. Our pipelines ensure full compliance with GDPR, CCPA, and internal governance policies from day one.

Beyond prediction, our systems prescribe evidence-based actions. The AI analyzes successful past retention cases to recommend personalized interventions—from targeted compensation adjustments to mentorship program enrollment—with estimated ROI.

We establish automated monitoring for model drift, fairness, and bias using frameworks like NIST AI RMF. Our dashboards track performance metrics and flag demographic parity issues, ensuring your models remain accurate, fair, and compliant over time.

We seamlessly integrate predictive insights into existing workflows (e.g., Workday, SAP SuccessFactors) and provide change management support. We train your HRBPs and managers to act on AI-driven insights effectively, driving adoption and impact.

We co-develop success metrics and build tracking dashboards that link retention improvements directly to business KPIs: reduced hiring costs, preserved institutional knowledge, and increased team productivity. We measure what matters.