CASE STUDY

From Fear to Fluency: GHX’s Path to an AI-Enabled Future

1 min read
Tina Murphy, GHX

In this episode, Deidre welcomes Tina Murphy, CEO of GHX, for a candid discussion on the transformative role of generative AI in healthcare supply chains and within GHX’s own organization. Tina shares her vision for an AI-driven future, the challenges of driving organizational adoption, and how WorkBoard has supported GHX in accelerating strategic execution and building AI fluency across the GHX workforce.

The Challenge

  • Lack of organizational AI fluency and emerging internal fear:
    Employees across functions—legal, finance, HR, marketing—exhibited fear of the unknown, concern about job loss, and uncertainty around generative AI despite initial excitement, revealing a significant readiness gap.
  • Slow, long-horizon planning cycles that impeded responsiveness:
    Annual planning prior to WorkBoard left GHX unaware they were off track until late in the year, making it difficult to react to market factors or execute rapid course corrections.
  • Difficulty identifying invisible execution risks and cross-team dependencies:
    GHX struggled to surface hidden dependencies that impacted outcomes mid-quarter, creating friction, misalignment on priorities, and slower organizational speed.
  • Leadership burdened by time-consuming preparation for decisions and one-on-ones:
    Tina spent substantial time manually reviewing dashboards, collecting context, and synthesizing information before leadership meetings, hindering her ability to operate at maximum strategic level.

The WorkBoardAI Solution

  • Accelerated speed of course correction and strategic execution:
    By making leading indicators and progress transparent, WorkBoard enabled GHX to quickly recognize when initiatives were off track and adjust early—dramatically improving organizational agility.
  • AI-powered executive briefings that elevate leadership effectiveness:
    WorkBoardAI generated concise, context-rich summaries for Tina’s dashboard reviews and one-on-ones, reducing preparation time and improving her ability to focus on critical issues.
  • Greater alignment, prioritization clarity, and tension reduction across teams:
    The platform surfaced dependencies, clarified conflicting priorities, and strengthened manager-to-manager alignment, reducing friction and enabling faster collective movement toward objectives.
  • Everyday familiarity with AI that reduces fear and builds company-wide fluency:
    Because WorkBoard embedded AI into routine workflows (e.g., feedback framing, one-on-one prep), GHX employees experienced safe, practical AI use cases that demystified the technology and increased confidence.

Conclusion

Using WorkBoardAI, GHX accelerated its ability to detect risks, clarify priorities, and course-correct at speed, enabling the company to advance more quickly toward its strategic ambition of removing $30 billion in healthcare supply chain costs. WorkBoard’s AI briefings and dependency insights significantly elevated leadership efficiency, improved alignment across teams, and strengthened organizational AI fluency, creating measurable lift in operational effectiveness.

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