Workforce-Centered AI Adoption: Turning Institutional Knowledge Into Scalable Systems
This workshop focuses on helping organizations transform decades of workforce expertise into repeatable, AI-supported operational systems.
About this class
This workshop focuses on helping organizations transform decades of workforce expertise into repeatable, AI-supported operational systems. Designed for business leaders, operations managers, and frontline teams, the session explores how AI can capture workflows, reduce dependency on tribal knowledge, and improve cross-functional collaboration without overwhelming employees with unnecessary complexity. Participants will gain a practical framework for aligning people, process, and technology while learning how to introduce AI in ways that increase adoption, strengthen workforce capability, and create measurable operational improvements across legacy environments.
Your trainer
Stephanie Battista Hubbard is a product innovation leader and workforce development strategist specializing in the integration of AI across both hardware and software environments. As Head of Innovation at Humanity Innovation Labs, she leads initiatives that move emerging technologies from early-stage exploration into scalable, production- ready solutions—while ensuring the workforce evolves alongside them. In 2026 alone, Stephanie has trained and guided over 600 participants across non- technical, technical, and operational roles in AI literacy, tools, and real-world applications. Her programs focus on practical adoption—helping individuals and teams integrate AI into their daily workflows to improve productivity, effectiveness, and decision-making. She works across a wide range of use cases and scenarios, equipping participants to confidently apply AI within their specific roles and industries. A core principle of Stephanie’s approach is preserving and elevating legacy knowledge. Rather than replacing existing expertise, she helps the workforce translate what they already know into more repeatable, scalable systems—leveraging AI to enhance consistency, reduce inefficiencies, and unlock new value from established processes. Her training emphasizes structured thinking, enabling participants to operationalize their work in ways that are both human-centered and technologically enabled. With over 20 years of experience spanning UX research, product design, industrial design, and design for manufacturing, Stephanie brings a systems-level perspective to both innovation and education. She is known for bridging the gap between complex technologies and real-world application—ensuring that both products and people are prepared to succeed in rapidly evolving environments.
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