Predictive Scheduling Laws in 2026: Which Cities and States Are Next?
11 U.S. jurisdictions enforce predictive scheduling laws, 11 states ban them, and 8 more have active bills. The full 2026 fair workweek compliance map.
The WFM Acquisition Playbook: What Actually Happens When Your Vendor Gets Acquired
WFM vendor acquisitions follow a five-phase pattern. This playbook maps the arc, the warning signs at each stage, and what to do before your timeline becomes someone else's.
Your WFM Vendor Is in Transition. Here's How to Think About Your Next Move.
Kronos WFC end of life hits March 2027 while the WFM market consolidates. A tech founder's framework for evaluating your migration options — timelines, risks, and alternatives.
From Simple Shifts to Complex Rotational Patterns
From simple shifts to complex rotational cycles and work packages, learn how modern WFM platforms handle every type of scheduling your workforce needs.
WorkAxle’s Tailored Forecasting and Continuous Learning Model
Discover how WorkAxle’s tailored forecasting model adapts to your data, tests multiple approaches, and always learns to deliver more accurate demand plans.
Choosing the Right Clock-In Method for Your Workforce
Explore the different clock-in methods, from mobile apps to kiosks to beacon-enabled punch-ins, and learn how to choose the right fit for your workforce.
Beyond the Badge: Why WorkAxle’s Workday Certification Matters
WorkAxle is now a certified Workday Innovation Partner with a rigorously reviewed integration that helps enterprises reduce WFM risks and reach value fast.
Importance of Modern Security Standards in WFM Solutions
Mat explains why modern WFM software must meet today’s security and compliance standards to reduce vulnerabilities, ensure data integrity, and avoid risks
How WorkAxle Connects with Legacy Systems for Modern WFM
WFM integration architecture — not features — decides if migration takes 2 months or 24. The evaluation framework your technical team needs.
Get Your Shift Together
Mat Diab explains why labeling shifts with rich metadata is essential for future-proofing your WFM system and unlocking the full potential of AI.