Procaire gathers meta-data on relationships (with peers, stakeholders, and management), performance reviews, promotional history, compensation, recognition, potential burnout, stagnation, and other metrics passively, in real-time, from the communications, development, and business systems in enterprise companies.
Dashboards display risks across high-impact employees (like managers, stars, and other key roles) and employee groups (including critical projects, teams, locations, and cohorts). The work activity of high-performing talent can also be displayed to give managers the visibility and insights required to reward exceptional workers.
Unique, patent-pending, machine learning algorithms detect, prioritize, and explain risk factors that are impacting individual employees or employee groups based on meta-data.
Contextual recommendations based on management best practices, designed to enhance retention among individual employees or employee groups, are offered.
Selected actions are added to employee care workflows to measurably decrease attrition. Procaire also provides accountability for workforce retention strategies, reporting, and compliance requirements.
System of Record for Audit and Compliance
Finally, Procaire serves as a system of record for talent data by capturing, aggregating, and contextualizing previously dispersed and disorganized employee information. Procaire users may enrich Procaire’s meta-data by entering information pertaining to specific employees or groups. This content is incorporated into Procaire stories to create an audit trail and ensures compliance with corporate policies.