Stop guessing where to start with AI—get a proven roadmap instead. Organizations are at radically different stages of AI readiness, yet most guidance treats AI adoption as one-size-fits-all. This intensive half-day workshop, led by Brandon Hall Group’s research leaders, provides a framework that meets you where you are. You’ll work with Brandon Hall Group’s exclusive AI Progression Model—a five-phase framework covering AI readiness, people capabilities, process requirements, technology infrastructure, organizational state, and governance structures at each maturity stage. Whether you’re exploring how AI could personalize learning across your multi-generational workforce (Gen Z to Baby Boomers with vastly different tech comfort), predict wellness risks before they become crises, power innovation labs with data-driven insights, enable social and collaborative learning at scale through intelligent matching, or ensure inclusive talent decisions free from bias—this workshop shows the path forward. This isn’t theoretical; it’s a practical planning tool built on research across hundreds of organizations. You’ll assess your AI maturity, identify next steps, develop a prioritized roadmap, and build change management plans addressing people challenges that typically derail AI initiatives across different generations. This is hands-on strategy development with expert guidance, not passive listening.
What You’ll Learn
- Brandon Hall Group’s five-phase AI Progression Model in comprehensive depth
- How to assess your organization’s current AI maturity and readiness across multiple dimensions
- Specific people, process, technology, and governance requirements for each AI progression phase
- How AI progression differs across multi-generational workforces with varying technology adoption rates
- Governance frameworks ensuring responsible, inclusive, and ethical AI use over time
- Change management techniques for AI adoption across Gen Z through Baby Boomers in HR environments
- How AI can be leveraged across diverse use cases: wellness, inclusion, social learning, innovation labs
- How to build stakeholder support and secure resources for AI initiatives at each maturity phase
- Common failure patterns at each AI maturity stage and how to avoid them How AI enables personalized experiences, powers collaboration, drives innovation, and supports wellness
Session Objectives
- Conduct thorough AI readiness assessment for your organization across all critical dimensions
- Develop prioritized, phased AI implementation roadmap aligned with your readiness and resources
- Learn how to use AI to advance wellness, inclusion, innovation, and social learning strategically
- Create governance structures appropriate for your AI maturity ensuring responsible deployment
- Build change management plans addressing AI adoption challenges across multi-generational teams
- Leave with actionable next steps for AI implementation supporting your strategic HCM priorities
- Connect with peers at similar AI maturity stages for ongoing collaboration and learning
- Workshop Format Framework presentation and self-assessment of AI maturity
- Breakout sessions by maturity level Discussion of AI applications (innovation, wellness, inclusion, social learning)
- Individual roadmap development with templates and expert guidance
- Peer review and change management planning
- Action planning with accountability and post-workshop support resources