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However, this defines “Procedural Compliance” which is based on a traditional and reactive model for Instead, “Operational Compliance”, which is based on a holistic and proactive model, defines a state

Known-Unknowns (Complicated Domain) Here we have moderate visibility. Traditional models struggle to provide explanations for what occurs in this domain. State of AI Uncertainty Current AI technologies, particularly advanced systems that use large language models What aspects of AI should receive attention: the technology itself, the models, the companies developing we can't predict specific outputs with perfect accuracy We understand enough about potential failure modes

By extending VCA to encompass these dimensions, we create a more comprehensive model that affords management foundational principles enable practical applications including compliance streams, operational compliance models

This approach is based on Lean Startup model by Eric Ries which we have adapted to the compliance domain

For AI systems, monitoring extends to model performance metrics, prediction latency, and data drift detection , it struggles with novel or complex failure modes. In AI contexts, observability encompasses the full model lifecycle—from data ingestion through training In AI systems—where complex models often operate as black boxes—explainability techniques like SHAP,

For example, engineering has traditionally relied on algorithms, statistical analysis, models, and prediction

Current models are based on a reactive and transactional approach to how health care is delivered. focused on the future of health care, what it might look like, and how it can change from a reactive model We have the wrong model Reactive Transactional Funding the wrong things Regulation that constrains My thoughts Health care systems are based on a model that is not sustainable and it has been this way

That's the line being sold to executives right now — wrapped in maturity models, readiness assessments

Promise Theory provides the commitment model.

The RACI (Responsible, Accountable, Consulted, Informed) model is a framework that defines roles and The Obligation Owner aligns with this model by assuming the role of the "Accountable" party for compliance obligations they make certain that obligation objectives are achieved and the other roles of the RACI model

brain, provides a useful model and operational approach applicable to this situation. Geoffrey Moore's concept of business zones aligns closely with McGilchrist's hemispheric model. Two Types of Risk McGilchrist's two hemisphere model also helps to understand how we contend with threats Two Management Capabilities The left and right brain model also sheds light on two management capabilities McGilchrist's model of the divided brain offers a compelling lens through which to view these management

analytics can help to prevent a total failure if controls can respond fast enough and if the failure mode due to a lack of knowledge (epistemic uncertainty) prediction is limited based on the strength of our models