In workforce management, AI isn’t about gimmicks but about reducing the manual overhead behind some of the most complex operational challenges.
In this video, Mat Diab explains how AI is helping shift WFM into a new era.
The fraction of the time, we're talking within an hour, you can have an ideal demand forecast based off a file that a system has never seen.
Previously, building forecasting models required teams of experts running lengthy iterations. Now, AI can ingest almost any kind of historical file and automatically test multiple time-series models to generate the most accurate forecast.
That forecast then becomes the foundation for automated labor optimization, handled entirely within the system based on your real-world constraints and requirements.
But it doesn’t stop at forecasting since AI now enables natural language scheduling with the system taking care of assigning roles, verifying credentials, honoring labor laws, and balancing coverage.
The same logic extends to time capture. Just like fraud detection in banking, WFM systems can now flag anomalies in employee behavior before they become costly payroll errors.
AI is helping WFM evolve from reactive systems to proactive intelligence, with cleaner insights, faster execution, and far less friction.