WorkWhile, the AI-native labor platform transforming hourly workforce management, today announced the appointment of James Everingham to its Board of Directors.
James currently serves as CEO of Guild AI and previously held senior engineering leadership roles at Instagram and Meta, most recently Vice President of Engineering at Meta Devinfra, where he helped scale large-scale infrastructure and AI systems used by billions of people worldwide. He brings deep expertise in AI infrastructure, distributed systems, and enterprise-scale platforms as WorkWhile expands its investments in real-world AI models and operational simulation technology.
“AI is moving beyond software assistants into systems that directly influence real-world business operations,” said Everingham. “What matters now is building infrastructure that organizations can trust, systems that are observable, reliable, and capable of supporting complex operational decisions at scale. WorkWhile is uniquely positioned at the intersection of AI and the physical workforce, and I’m excited to support the company as it continues to grow.”
To foster an optimal environment where workers can thrive, WorkWhile is developing AI-native systems designed to streamline operations and HR workflows through automation. Its platform combines operational data, automation, and simulation tools to help businesses improve staffing reliability, scheduling efficiency, and workforce planning across retail, logistics, light industrial, and hospitality operations.
As part of this next phase, WorkWhile is continuing to develop capabilities, including:
- Operational Digital Twins: Simulation environments that allow operations leaders to model workforce conditions, test staffing scenarios, and anticipate disruptions before they occur.
- Real-World AI Models: AI systems trained on workforce and operational data to help businesses improve scheduling, worker retention, labor forecasting, and shift fulfillment.
- Enterprise Governance and Oversight: Infrastructure that gives organizations greater visibility and control over how AI-driven systems make operational recommendations and coordinate workforce decisions.
“James brings deep expertise in AI infrastructure, large-scale coordination systems, and the emerging control plane technologies shaping the next generation of enterprise AI,” said Simon
Khalaf, CEO of WorkWhile. “That perspective will be invaluable as WorkWhile continues building tools that help businesses operate more intelligently and efficiently in the physical world.”
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