Traditional methods of identifying disengagement rely heavily on manager intuition, surveys, and post-facto evaluations. These approaches are subjective and often fail to provide timely, actionable insights.
ProHance changes the game by using real-time system usage data to track employee engagement levels based on:
By analyzing workforce patterns over three-month intervals, our AI models predict attrition risks and flag disengaged
employees, allowing HR and leadership teams to take proactive action rather than react to costly turnover.
Disengaged employee also contribute to an organization's latent capacity, even if their risk to resign is low. Engaging
employees with meaningful work and consistent interventions will add to organization's overall productivity goals.
A real-world analysis using ProHance's AI models found that:
With millions of workforce data points processed across multiple industries and geographies, ProHance provides one of the most precise and accurate workforce engagement insights available today.
Advanced ML models trained on clean, labelled workforce data. Any AI/ML model is as good as the quality of the data. ProHance's accurate, irrefutable, and empirical data is the real gold mine.
Identify and engage at-risk employees before they leave.
Remove subjectivity and base workforce decisions on actionable analytics.
Trusted by leading enterprises across multiple regions and industries.
High attrition isn't just a workforce challenge—it's a business risk. With ProHance's AI-powered disengagement and retention risk insights, organizations can take a proactive approach to talent management, ensuring a more engaged, productive, and stable workforce.