The Klease Method™
What Is The Klease Method?
The Klease Method is a practical approach and governance framework for helping organisations bridge the gap between AI ambition and measurable business performance.
The Klease Method was developed in response to a growing challenge facing organisations across every industry: while AI adoption continues to accelerate, many organisations struggle to translate AI activity into measurable business outcomes.
Drawing on experience in enterprise transformation, operating model redesign, workforce capability and organisational performance, the Klease Method provides a practical approach for aligning strategy, work design, workforce capability, governance, technology and measurement around business outcomes
Architecture
How the Klease Method Creates Competitive Advantage
The Klease Method is an integrated system designed to help organisations create and sustain value in an AI-enabled world.
Rather than treating transformation as a technology initiative, the Klease Method combines guiding principles, enterprise design, practical implementation processes and decision-support tools into a structured approach that moves organisations from insight to measurable impact.
Each layer plays a distinct role, but together they provide the foundation for sustainable performance and competitive advantage.
The Klease Method has been developed to support organisations implementing responsible and effective AI governance. The framework complements recognised governance approaches, including the Australian adoption of ISO/IEC 42001, by integrating leadership, governance, workforce capability, value realisation and organisational performance into a practical operating model.
Process
How The Klease Method Works In Practice
The Klease Method translates strategy into action through a practical three-stage transformation process.
It begins by understanding the real problem and the value that needs to be created. It then moves into the design of future-state operating models, work, roles and capability requirements. Finally, new ways of working are embedded through capability development, leadership alignment and organisational adoption.
This ensures transformation is not treated as a one-off initiative, but becomes part of how the organisation operates and creates value.
Understand
- Targeted workshops define the real problem and where value is created
- Leaders, SMEs and specialists engaged to surface constraints and trade-offs
- Structured diagnosis of current state, including performance gaps and friction points
OutputClear problem statement, guiding principles, governance guardrails, constraints, and defined success measures
Design
- Structured design sessions re-engineer the value chain, operating model and roles
- SME and specialist expertise (including technical capability) integrated to test and validate options
- Explicit prioritisation, clear roadmap, and leadership narrative for change
OutputFuture-state design, prioritised roadmap, leadership narrative, role impacts, and investment logic
Embed
- Close work with leaders to embed new ways of working into the business
- Capability introduced at the right points so AI is embedded in work, not treated as a separate initiative
- Roles, workflows and behaviours iterated to achieve proof points and sustained adoption
OutputAdoption of new ways of working, validated proof points, measurable outcomes, and sustained business impact
Support to implement is agreed separately.
Capability system
The Capability System Behind Sustainable Performance
Organisations do not create value through technology alone.
Sustainable performance emerges when multiple organisational capabilities work together as an integrated system.
The Capability System identifies the critical domains that determine whether AI investments deliver measurable business outcomes, including strategy, operating model design, governance, workforce capability, leadership, technology enablement and value measurement.
When these capabilities are aligned, organisations are better positioned to realise value, improve performance and maintain competitive advantage over time.
Value realisation
Value realisation drivers and their focus
Many organisations focus on AI implementation, adoption and experimentation. The real challenge is ensuring those activities translate into measurable business value.
Each value realisation driver is enabled by multiple organisational capabilities. Rather than assessing AI isolation, The Klease Method evaluates the organisational system that determines whether AI can be adopted, scaled and sustained.
Assessing Maturity with the Klease Method AI Value Realisation Model
Not all organisations are equally positioned to realise value from AI.
The AI Value Realisation Model helps organisations understand their current ability to translate AI activity into measurable business outcomes.
The model assesses the organisational foundations, governance, capability systems and performance mechanisms required to move beyond experimentation and create sustainable value. As organisations mature, AI becomes increasingly integrated into decision-making, operations and performance management, strengthening resilience, adaptability and competitive advantage.
Every organisation is at a different stage of its AI journey. Understanding your current level of maturity provides a practical starting point for prioritising investment, strengthening organisational capability and maximising the value of AI.
ISO/IEC 42001 alignment
Responsible AI governance is essential. Realising business value is the goal.
Artificial intelligence is transforming how organisations operate, compete and create value. As AI adoption accelerates, organisations need confidence that it is being implemented responsibly, governed effectively and delivering measurable outcomes.
The Klease Method™ is an enterprise transformation methodology that provides leaders and organisations with a practical framework and governance methodology to move beyond AI experimentation and realise measurable value from AI.
The governance methodology within The Klease Method has been developed with reference to governance concepts reflected in ISO/IEC 42001. The broader methodology extends beyond governance to address the organisational, leadership and capability factors that influence successful AI adoption and value realisation.
What is ISO/IEC 42001?
ISO/IEC 42001 is the world's first international management system standard for artificial intelligence. It specifies the requirements for establishing, implementing, maintaining and continually improving an Artificial Intelligence Management System (AIMS).
The standard provides organisations with a structured framework for governing the development, deployment and use of AI. It helps organisations define accountability, manage AI-related risks, establish appropriate controls, and support the responsible use of AI.
As organisations increasingly integrate AI into products, services and operations, ISO/IEC 42001 provides an internationally recognised approach to managing AI consistently, transparently and responsibly while balancing innovation with governance.
How The Klease Method aligns with ISO/IEC 42001
ISO/IEC 42001 provides organisations with a framework for establishing effective AI governance through an Artificial Intelligence Management System (AIMS).
The Klease Method is not an ISO/IEC 42001 certification, audit or compliance framework.
Instead, it is an enterprise transformation methodology that provides leaders and organisations with a practical framework and governance methodology for embedding many of the organisational capabilities that underpin effective AI governance including:
- Strategic alignment between AI initiatives and organisational objectives
- Executive governance, accountability and informed decision-making
- Responsible, ethical and human-centred AI practices
- Data readiness and information governance
- Workforce capability and organisational readiness
- Work and operating model redesign
- Risk management, assurance and human oversight
- Change leadership and adoption
- Benefits measurement, value realisation and continual improvement
The governance methodology within The Klease Method has been developed with reference to the concepts and governance practices reflected in ISO/IEC 42001, while the broader enterprise transformation methodology helps organisations integrate governance with strategy, leadership, organisational capability and value realisation.
Looking For Practical Support?
Every organisation is different. If you're interested in exploring how the Klease Method can be applied within your organisation, let's start a conversation.
Most AI approaches focus on technology. The Klease Method focuses on value realisation