Applicants should use the following questions to structure their nomination.
1. How are digital tools, automation, or AI used to support Lean improvement?
Describe the technologies used and how they are applied to improve processes, flow, quality, or decision-making. Explain the problems they were designed to solve and how they align with Lean principles.
2. How does technology enhance Lean thinking rather than replace it?
Explain how digital or AI solutions support people to see problems, make better decisions, and continuously improve. Include examples showing how human judgement, capability, and learning remain central.
3. What measurable outcomes have been achieved through digital or AI-enabled improvement?
Provide clear evidence of impact, such as improvements in efficiency, quality, customer experience, cost, safety, or sustainability. Where possible, include before-and-after data or performance trends.
4. How have adoption, governance, and learning been ensured?
Describe how the technology has been implemented responsibly and effectively. Include evidence of user adoption, data governance, ethical considerations, capability building, and how learning from the technology is shared and embedded.
5. Why should this initiative be recognised as a leading example of digital and AI-enabled improvement?
Summarise its overall value, sustainability, and scalability, and how it demonstrates the effective integration of Lean principles with digital innovation for long-term improvement.