AI-native labor platform WorkWhile announced the expansion of its platform from on-demand shift coverage to a full-scale staffing solution. Building on the momentum of its Assignment product launched over a year ago, this strategic evolution opens WorkWhile’s vetted labor pool to enterprise partners seeking end-to-end workforce reliability, reduced overhead, and operational stability.
The expanded model provides continuous coverage across all operational roles. Whatever the cause of an absence, the WorkWhile platform automatically backfills open full-time shifts with on-demand staff using the same AI real-world models that power scheduling. The result is less lost productivity on the day of the absence and a compounding reduction over time. Early deployments within the warehousing sector demonstrate that the AI-native system has reduced short-notice absences by more than half, bringing 24-hour notice call-out rates below 3% compared to industry benchmarks between 6.2% and 6.5%.
“Our customers have been impressed with the quality and discipline of our workers and our AI-native workforce management tools, to the point where they pushed our repeat worker rate to over 90% and our average notice time to over 72 hours in one year,” said Benoit Berthoux, Chief Product Officer at WorkWhile. “The expansion of our platform is simply a response to our customers needs and a mechanism to increase their entire workforce productivity with our real world model and agentic workflows.”
Also Read: Vervoe Launches Skills Advisory and Intelligent Interview Scheduling
Precision Workforce Management and Cost Optimization
The expanded service delivers operational and financial advantages to enterprises navigating unpredictable labor dynamics, while maintaining WorkWhile’s status as Employer of Record (EOR). Core features include:
Automated Absence Backfilling: Every primary role filled through WorkWhile is automatically backstopped by its on-demand labor pool, eliminating unfilled shifts and operational downtime.
Overtime Elimination: The AI engine automates dynamic scheduling to eliminate overtime premiums across site operations.
AI-Driven Coaching & Compliance: Native AI coaching and automated compliance management optimize on-site performance and eliminate administrative drag while maintaining EOR governance.
Income Predictability and Flexible Controls for Workers
For hourly workers, the model bridges the gap between schedule flexibility and financial security. Workers gain access to real-time daily pay, flexible scheduling controls, and the income predictability of stable, long-term work assignments.
“Overtime has been a significant financial burden on companies and a drain on workers’ health and family commitments,” said Simon Khalaf, WorkWhile CEO. “The time for manual overtime calculations is over. In the age of AI, this is the minimum agents should fix for the labor market.”
