and Compliance) functions like a gimbal oriented across the dimensions of each compliance program: quality

make progress, risk-based approaches and continuous improvement are required and foundational to most quality

not everyone views problems as helpful and sometimes this attitude shows up when it comes to safety, quality pressure to change the goals, change the units, or even change the colors so things "look" better when in reality

Describe reality at the level of information. Model reality at the level of knowledge. Augment reality at the level of intelligence. Create reality at the level of wisdom. Digitizing reality requires measurement and classification. Qualitative capabilities define what should be. As we move up the map, the qualitative side matters more.

To strengthen them and broaden your coverage you will need to make alliances with Safety, Quality, Security

Assurance: By monitoring both quantitative and qualitative aspects, the organization gains assurance Two Primary Loops: Quantitative and Qualitative Regulation In policy deployment using Hoshin Kanri, there Meeting Obligations and Advancing Outcomes (Qualitative Regulation - Compliance 2): While meeting numerical targets is crucial, qualitative aspects are equally important. This loop emphasizes qualitative regulation, ensuring that obligations are met and outcomes are advanced

organizational governance and public safety, we need similar standards to ensure practitioners are actually qualified engineering—education requirements, competency assessments, and right-to-practice protections that ensure only qualified

knowledge separate from the AI, organize it and rank it by authority, and ground every answer in it with a qualified Medicine showed three of these parts: keep the knowledge separate, rank it by authority, and put a qualified A qualified person owns every decision. The advisor advises. A qualified person owns the reference.

It required qualified engineers to ensure harm was avoided, and that risks, when they occurred, were

Rather, it requires a nuanced understanding of the qualitative nature of the risk or hazard at hand. quantitative analysis using tools like Monte Carlo simulations can be helpful when data is available, the reality In these cases, a more qualitative approach is necessary. The question then becomes, where is the middle ground between qualitative and quantitative analysis? Rather than relying solely on a risk matrix or other semi-qualitative/quantitative tools, organizations

The agency has temporarily halted its enforcement of compliance with operator qualification, control Although more familiar in the context of quality, their contributions have impacted the way we think

ethical decisions which have more to do with values and meaning rather than measurements and metrics – qualitative