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As a result many business process modelling and execution systems offer very limited support for other Example Responsibility Assignment Matrix (RAM) using modified RACI model: This often leads to significant The requirements for these tools may include: Representing the entire RACI model along with its variations Automated mapping to BPMN models to support execution platforms Implementation mapping for each type RACI) Support for early and late binding of responsibilities during execution Audit of design, model

The RACI model has been used to help manage projects successfully. In this blog post we explore how meeting obligations can be improved using a RACI model to clarify compliance RACI for Projects The RACI model was introduced in the 1950s to clarify roles and responsibilities for for Compliance Variations to the basic RACI model are used to accommodate different kinds of project To apply the RACIV model each obligation is considered as a micro project where objectives instead of

It operates on a predictable model where potential failures can be identified, quantified, and mitigated Expanding Beyond Failure Mode Analysis Traditional safety models operate on a binary framework of function ISO 21448 uses the "Three Circle Behavioural Model" to illustrate where possible gaps may exist in overall In this model safe behaviour is categorized by: The desired behavior is the ideal (and sometimes aspirational The framework provides a conceptual model for understanding safety in any system that must make intelligent

In the traditional model regulators identify the public harm, conduct an assessment, and come up with In this new model, regulators establish performance and outcome-based obligations for industry to achieve

Download our Lean Operational Compliance Model: (Version 4) – Operational Compliance is a state of operability This operational compliance model will help you achieve and sustain operational readiness so that you This model now includes the 5 immutable principles of program success:

This will help in updating our system models and processes to make them more efficient. In a fashion, we construct a "model" for how we understand the world and then validate that model using Management systems are based on models for how things get done. How true a model is depends on several factors that include: resolution, fidelity, and effectiveness. This is why we need to apply the scientific method to update our models so that they become "truer" in

A DSM models system elements and their corresponding information exchange, interactions, and relationship An environmental program will include many aspects which can be modelled using a DSM. We have used it here to model the 12 environmental pillars which need to be advanced simultaneously towards

This is a fundamental principle of cybernetic models (i.e., the Good Regulatory Theorem). 

To bring the risks into focus, let’s consider the use of Large Language Models (LLMs) used in applications What do LLM's model? They do not model your compliance program, your cybersecurity framework, or any other aspect of your LLMs model language to predict words, that's all. behaviours, and interactions necessary to achieve the outcome of compliance which is something that's not modelled

However, there is a lesser-known, yet profoundly effective mental model that turns this logic on its The inversion mental model asks you to work backward from an undesirable outcome, rather than from a Inversion in Action: How to Apply it to Compliance Success Let’s explore how the inversion mental model The power of the inversion mental model is that it forces organizations to consider these blind spots The inversion mental model offers a valuable approach by shifting focus to failure prevention.

The old model of risk assessment, primarily focused on mitigating the consequences, no longer serves Model Uncertainty : Often, risks are assessed using models that may not accurately reflect reality. Model uncertainty recognizes the limitations of these models and their potential deviations from actual

Some form of causation model (deterministic, probabilistic, linear, non-linear, etc.) is needed to estimate In cases of greater uncertainty these models will be adjusted over time as more information is gathered defined (ISO 31000, COSO) as the effects of uncertainty on objectives which involves having a causation model