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This meeting is exclusively for members of the Australian Chief People Officer Board, Chief Human Resources Officer Board, Chief Learning & Talent Officer Board, European Chief Learning & Talent Officer Board, Future of Work Board, Impact and Belonging Leader Board, People Analytics Board, Southeast Asia CPO Board, Talent Acquisition Board, Total Rewards Leader Board.
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HERO All June 2026 V3

Meeting Details

Future readiness is no longer a technology initiative, it is an organizational capability. i4cp’s Future-Ready Framework defines this as the integration of three mutually reinforcing dimensions: a change-ready culture, a skills-ready workforce, and an AI-ready enterprise. Research shows that organizations strong across all three areas are twice as likely to sustain superior market performance than those focused primarily on technology.

Key Takeaways

Agility

  • Future readiness is less about preparing for a specific disruption and more about building the capacity to adapt continuously.
  • Organizational agility increasingly requires redesigning work, workflows, and operating models—not simply developing new skills.
  • Resilience and change readiness must be actively supported rather than assumed.
  • Organizations must balance adaptability with focus to avoid burnout and strategic drift.

Culture

  • Psychological safety and leadership vulnerability remain critical enablers of learning and change.
  • Employee agency and ownership are essential components of sustainable transformation.
  • Resilience strategies should recognize differences in employees' lived experiences.
  • Organizations are beginning to address cultural tensions surrounding AI adoption, ethics, and employee values.

Skills

  • Many organizations are evolving from job-based talent models toward skills-based and capability-based approaches.
  • AI is accelerating the ability to infer, validate, and deploy skills across the workforce.
  • Organizations continue to wrestle with how skills should influence compensation, mobility, and career development.
  • Practical implementation remains more challenging than the underlying technology.

AI

  • AI is increasingly viewed as an operating capability rather than a standalone technology initiative.
  • Successful adoption requires governance, employee enablement, and workflow redesign.
  • Human judgment remains essential, particularly in talent and employment decisions.
  • Organizations are prioritizing business outcomes, adoption, and responsible use over experimentation alone.

Presenter Highlights

Michelle Shirley, Senior Director, Benefits, Wellbeing, & Belonging, Choice Hotels

Michelle challenged the notion that agility is primarily an operational capability. Instead, she described agility as a human capability that depends on employees' ability to absorb, process, and adapt to continuous change. The organization's work has focused on building resilience not as a reactive response to disruption, but as an intentional organizational competency supported through leadership behaviors, wellbeing initiatives, and cultural norms.

A particularly compelling aspect of the discussion was the role of leadership vulnerability in creating psychological safety. Shirley shared examples of leaders openly discussing personal growth areas and mistakes, helping normalize learning and experimentation across the organization. The broader lesson for members was that organizations cannot expect employees to embrace change if leaders are unwilling to model the behaviors required to navigate it. In a business environment characterized by constant disruption, resilience and adaptability become cultural assets that must be deliberately cultivated.

A notable observation from i4cp research: only about one-quarter of organizations actively help employees cope with the stress associated with ongoing change.

Tonie Lyubelsky, Global Total Rewards Leader, and Courtney Wagner, Human Resources Director, Enterprise Integration, Owens Corning

Owens Corning's perspective highlighted an often-overlooked aspect of future readiness: transformation must be rooted in the realities of the workforce. Tonie Lyubelsky and Courtney Wagner described how the organization is pursuing HR modernization while recognizing that manufacturing and knowledge workers experience work, change, and technology very differently. Rather than forcing a common transformation agenda across the enterprise, Owens Corning is tailoring modernization efforts to the needs of different workforce segments, ensuring that employee experience, workflows, and capability development remain aligned to business realities.

Their remarks reinforced a recurring theme throughout the meeting: organizations frequently focus on new technologies or structures before fully understanding the work itself. Owens Corning's approach suggests that sustainable transformation begins with understanding how work is performed today, where friction exists, and what employees need in order to successfully adapt to new ways of working.

Drew Goodrich, Director, Learning Enablement CoE, Intuit

Drew's discussion focused on a challenge many organizations are now confronting: moving beyond AI experimentation toward meaningful business adoption. Intuit's approach centers on helping employees identify where AI can improve their daily workflows rather than prescribing use cases from the top down. This employee-centered model recognizes that the people closest to the work are often best positioned to identify opportunities for automation, augmentation, and productivity gains.

Equally important was Intuit's emphasis on balancing innovation with governance. Goodrich described an approach that encourages experimentation while establishing clear guardrails around sensitive decisions, particularly those involving employment actions. But clear doesn’t mean oppressive – Intuit’s approach to guardrails is light-touch, encouraging all employees to experiment.

The underlying message was that AI readiness is not achieved through technology deployment alone, it requires workforce capability building, responsible governance, and a willingness to redesign how work gets done. Intuit's experience illustrated how organizations can create an environment where AI adoption becomes both practical and sustainable.

Erin Riebe, Executive Vice President HR Strategy, Operations, Analytics, Insights AI and Services, U.S. Bank

Erin provided one of the most pragmatic perspectives of the session, focusing on the challenges organizations encounter when translating skills-based strategies into operating models. While many organizations have embraced the idea of becoming skills-based, Riebe highlighted the difficult implementation questions that often follow: How are skills validated? How should they influence compensation? How much flexibility are employees willing to accept in exchange for greater workforce mobility?

Her comments underscored the tension between organizational agility and employee expectations. While businesses increasingly want to reward critical capabilities and deploy talent dynamically, employees continue to value transparency, fairness, and stability. Riebe's perspective served as a reminder that skills-based transformation is not simply a technology or data challenge—it requires organizations to rethink longstanding assumptions about careers, pay, workforce planning, and talent management. Future-ready organizations will need to balance flexibility with trust if they hope to make these models successful.

Andrea Kain, Global Head of Talent Acquisition, Mondelēz

Andrea shared Mondelēz's experience piloting AI-enabled recruitment in China, a market where AI adoption in talent acquisition has accelerated rapidly. Rather than positioning AI as a replacement for recruiters, Kain emphasized its value as an augmentation tool that can improve efficiency, consistency, and candidate experience while preserving human judgment where it matters most. The organization's pilot demonstrated how AI can reduce administrative burden, standardize evaluation processes, and enable recruiters to focus more of their time on higher-value interactions.

A second key takeaway was the importance of governance and disciplined experimentation. Kain described a deliberate "pilot, learn, and scale" approach that allows organizations to build confidence, establish safeguards, and refine processes before broader deployment. Her presentation reinforced an idea echoed throughout the meeting: successful AI adoption requires equal attention to technology, process design, change management, and ethical oversight.

Josh Newman, ServiceNow

Josh challenged traditional workforce planning assumptions by arguing that organizations often overcomplicate skills initiatives. Rather than attempting to catalogue every skill possessed by every employee, ServiceNow is focused on identifying the relatively small number of capabilities that truly drive performance and business outcomes. This more targeted approach helps organizations avoid creating large inventories of data that offer little practical value.

More broadly, Newman's comments reflected a shift away from static job architectures toward a more dynamic understanding of work. By combining AI, workforce data, and evolving skills frameworks, organizations can gain greater visibility into how work is changing and where future capabilities will be needed. His perspective reinforced one of the session's most important themes: future readiness is not about building perfect skills taxonomies, it is about creating enough organizational intelligence to make better workforce decisions in an environment of continuous change.

Conclusions

The discussion repeatedly returned to a common theme: future readiness begins with understanding and redesigning work itself. Members challenged the notion that future readiness is primarily a technology challenge, emphasizing instead the need to align culture, workforce capabilities, organizational design, and AI to create organizations that can respond effectively to continuous change.

The examples shared demonstrated that future readiness is not about preparing for a single future state. Rather, competitive advantage will belong to organizations that continuously learn, adapt, and evolve - maintaining alignment between business strategy, workforce capabilities, and emerging technologies as conditions change.

Resources and Links Shared During the Meeting

i4cp Research and Resources

Case Studies and Articles