The Compass for the AI Age: How the LCS Is Shaping the Future of Continuous Improvement
By Tim Edwards
The Compass for the AI Age: How the LCS Is Shaping the Future of Continuous Improvement
In a world of algorithms and automation, the LCS provides what AI can’t: direction, discipline, and humanity in improvement.
In our Whitepaper, ‘Adapt or Be Automated: What AI Means for Improvement Professionals’, we explored the threats and opportunities facing the CI profession.
In this blog series, we will be exploring the key elements of this paper in a bit more detail. The first blog explored the 9-point checklist aimed at helping CI Leaders take a structured approach to embedding AI into the organisation’s operating model. The second blog looked in more detail at why CI professionals should be embracing AI, and how it can enhance their existing approach and toolkit.
In this final blog, we will explore how the LCS keeps improvement professionals, not machines, in control of progress.
The Role of the Lean Competency System in an AI-Enabled Future
As AI reshapes industries and redefines the skills required for success, we arrive at a pivotal moment. More than a qualifications framework, the LCS has become the foundation for building credibility, confidence, and capability in a world where human-centred improvement must coexist with intelligent systems.
The LCS stands as the world’s leading improvement qualifications framework, embraced by over 160 organisations worldwide. As we extend our reach into new territories, we consistently showcase value to both organisations and individuals. We also foster a world-leading, dynamic community where like-minded organisations and professionals can network, share, and learn from one another.
Our accreditation framework is designed to be a developmental system that combines quality standards with flexibility, and local cultural nuance. These values position us well to help practitioners and organisations navigate the hybrid future of improvement.
In 2026, we will be refreshing our framework so that it recognises recent shifts in working practices, technological advancements, and modern cultural challenges whilst maintaining quality standards and flexibility.
Setting Standards for New Skills
Across sectors, leaders emphasise that the differentiator for CI professionals in an AI-enabled world will be human-centred skills like facilitation, empathy, and ethical judgement. At the same time, there is a growing expectation that professionals build foundational literacy in AI, understanding what it can do, how it works, and where its risks lie.
The LCS framework will play a significant role by embedding AI awareness and digital fluency into its levels and criteria, while ensuring that these are always tied back to core Lean principles such as Respect for People and Problem-Solving Discipline. Just as practitioners are assessed on their ability to apply A3 thinking or facilitate Kaizen, future assessments will include how effectively they use AI tools without compromising critical thinking or stakeholder engagement.
Supporting Lifelong Learning and Adaptability
One consistent theme in industry is the pace of change; tools evolve quickly, and what feels cutting-edge today will be normal tomorrow. For CI professionals, this means that a single training event is no longer sufficient. Continuous learning must become the norm.
The LCS already emphasises reflection, portfolio-building, and workplace-based evidence. These principles align perfectly with the needs of an AI-enabled world, where practitioners must continually demonstrate how they are experimenting with technology, learning from results, and adapting their practice. By framing AI as part of the ongoing cycle of PDCA and professional growth, the LCS can reinforce adaptability as a core competency.
In this sense, the LCS isn’t starting from scratch; it already models the behaviours that the AI era demands. Reflection, experimentation, and workplace-based evidence have always been central, AI simply adds new tools to the same disciplined learning cycle.
Accrediting Responsible Adoption
Another theme running through multiple sectors is the need for responsible, transparent adoption of AI. Here, the LCS can function as a benchmark for responsible practice, accrediting not just technical competence but ethical integration.
Responsible AI adoption is not a technical skill — it’s a leadership behaviour.
A practitioner at LCS Level 2 or 3, for instance, might show how they validated an AI-generated insight with the Voice of the Customer or used automation to strengthen rather than replace Standard Work. In this way, LCS accreditation becomes a signal to organisations that a practitioner can balance efficiency with ethics, and technology with humanity.
Building Organisational Confidence
As highlighted in our Whitepaper, fear of replacement is often rooted in uncertainty, not technology itself. The LCS equips CI leaders with the structure and language to engage their people, translating abstract concepts into visible, confidence-building activity.
Across industries, organisations are grappling with cultural resistance to AI. Employees worry about being replaced, while leaders fear unintended consequences. By drawing on familiar CI methods such as Waste Walks, Visual Management, and the Voice of the Customer, and integrating these with AI-enabled insights, practitioners can make technology feel tangible, purposeful, and human.
The LCS provides the credibility framework that underpins this approach, demonstrating that certified improvement professionals are equipped to manage both the technical and the cultural dimensions of change.
Future-Proofing the Profession
The risk for the CI profession is not that AI makes it redundant, but that practitioners fail to claim their role in shaping its use. The LCS has a critical role in preventing this outcome by demonstrating what good looks like in an AI-enabled environment. This includes not only developing individual skills such as AI literacy, critical thinking, and ethical judgement, but also supporting the evolution of CI teams.
Many organisations will benefit from embedding new roles, such as AI Specialists or Data Engineers, alongside traditional improvement practitioners. By recognising both individual and team capability, the LCS can help organisations design hybrid improvement functions that not only survive technological change but lead it.
Leading the Hybrid Future
The future of improvement will not be defined by technology alone, but by how people choose to use it. The LCS is uniquely positioned to ensure that the profession evolves with integrity, balancing innovation with human values, speed with discipline, and automation with empathy.
As the LCS framework evolves in 2026, our mission remains constant: to equip improvement professionals to lead confidently in an AI-augmented world. Whether through redefining competence, accrediting ethical practice, or fostering a global learning community, the LCS will remain the profession’s compass, guiding individuals and organisations toward sustainable, human-centred improvement in the age of intelligent systems.
This blog is part of our whitepaper ‘Adapt or Be Automated: What AI Means for Improvement Professionals’. You can download the full whitepaper below.



