Why I created the Klease Method

I have consistently observed that many organisations are achieving pockets of productivity but failing to translate those gains into any meaningful change. In particular, organisations struggle to move beyond cost‑cutting and efficiency gains, despite the reality that you cannot cost‑cut your way to sustainable competitive advantage.

There is no shortage of thought leadership on AI. What is often missing is a practical, accessible roadmap that helps leaders translate ideas into meaningful organisational change in how they compete. The Klease Method was created to help simplify that complexity.

Drawing on more than 25 years of experience leading organisational transformation, workforce change and operational improvement in complex and regulated environments, the Klease Method applies practical transformation thinking to how AI can be integrated into governance, operating models, workforce capability and the value chain to create competitive advantage.

I am not an AI engineer or technologist. The value of the Klease Method lies in bridging the gap between emerging AI capability and the practical realities of organisational transformation, execution and change so productivity gains are intentionally reinvested, human contribution is elevated, and competitive advantage is designed rather than assumed.

A professional woman with long blonde hair, wearing a tan turtleneck and blazer, smiling in an office corridor with glass walls.

‘I help organisations deliberately redesign their value chain,  not just deploy new tools;  to elevate human contribution in the areas where it truly differentiates, and competitors struggle to replicate’

About Kate

Kate Klease is an executive leader, advisor and creator of the Klease Method, with extensive experience helping organisations improve performance, build capability and create enterprise value in complex, highly regulated environments.

Throughout her career, Kate has worked alongside CEOs, Boards and executive leadership teams to address some of the most challenging issues organisations face, including transformation, restructuring, operating model redesign, workforce capability, governance, culture and performance improvement.

Her experience spans M&A acquisition, due diligence and integration, turnaround, strategic repositioning and large-scale organisational transformation. Across these environments, Kate has developed a reputation for helping organisations navigate complexity while maintaining a clear focus on sustainable outcomes, accountability and value creation.

A defining feature of Kate's work is her belief that leadership, organisational capability and work design are critical drivers of commercial performance. She has spent much of her career helping organisations strengthen leadership depth, clarify accountability, redesign operating models and build the capabilities required to sustain performance as they grow, change and become more complex.

Kate has held executive leadership roles across insurance, financial services, mining, explosives, heavy manufacturing, infrastructure, retail and technology-enabled services, leading large multidisciplinary functions and supporting organisations operating under significant regulatory, safety and stakeholder scrutiny.

Today, her work is increasingly focused on helping organisations respond to one of the largest shifts in modern business; the rise of artificial intelligence.

Rather than viewing AI as a technology challenge alone, Kate works at the intersection of people, work, capability and organisational performance. She partners with leaders to identify where AI can create meaningful value, redesign work and operating models, build organisational capability and establish the governance required to ensure value is realised and sustained over time.

Kate's work in this area is supported by executive education, including Harvard's AI for Leaders, and ongoing collaboration with technology, operational and business leaders to identify practical, high-value applications of AI.

Areas of Focus:

  • AI transformation and value realisation

  • Organisational performance and enterprise value

  • Operating model design and transformation

  • Leadership and workforce capability

  • Job architecture and work redesign

  • Governance, accountability and decision-making

  • Transformation, turnaround and strategic change

  • Workforce strategy and the future of work