MBA GSBA / SUNY former SOX Process Manager, Lead Auditor QMS certification, CIA, CISA
This meta model inverses Moore's Law towards human-centered AI-based tech solutions. Moore's Law (implicit objective): max dT / dt where T(t) = technological capability (Moore’s Law driver) & d(t) = rate of change Societal impact: - Humans adapt after the fact - Externalities are someone else’
Why Low Risks become High Risks ? Risk is not static. A 'low' risk rating at one point in time reflects current probability and impact but those variables shift as the business environment, technology, behaviors and controls change. Risk dynamics occur when: 1. Probability changes * External drivers (regulation, technologies,
A SIPOC model is vital to the design and deployment of an API for an AI agent solution because it brings structured transparency, alignment & control to a process that involves multiple stakeholders, high technical complexity and significant governance & compliance considerations. 1. SIPOC ensures full transparency across all stakeholders
Explainable AI (XAI) fits along the entire knowledge ladder, but its role becomes more important the higher you go. 1. From Data to Information XAI helps reveal what the AI is looking at. At this stage, explainability techniques show which parts of the input mattered. This is low-level interpretability, explaining
Judea Pearl’s Ladder of Causation defines three levels of causal reasoning: Rung 1 Association ('Seeing'): Passive observation & correlation analysis Rung 2 Intervention ('Doing'): Designing & running controlled experiments, applying do(...) actions Rung 3 Counterfactuals ('Imagining'): Understanding 'what would have happened if…
The SIPOC model perfectly aligns with reinforcement learning, supervised learning & cybernetic control principles. SIPOC is recursively fractal, i.e. each stage can contain another SIPOC. This recursive layering mirrors how complex AI ecosystems (like autonomous vehicles, digital twins or economic simulators) are structured as nested SIPOCs within SIPOCs. That
SIPOC as the Algorithm of the Value Economy If we restate the economic master algorithm using the value chain lens, SIPOC describes how value propagates through the economy: Valuet+1 = f(Suppliers,Inputs,Processes,Outputs,Customers) This value function chain models: - Creation of potential value (suppliers) - Transformation into
SIPOC (Suppliers>Inputs>Process>Outputs>Customers) models how any system transforms resources into value. This structure is so universal that it mirrors the underlying logic of all productive systems from a single workflow to the global economy. In essence, SIPOC abstracts the fundamental feedback loop that
SIPOC can be conceived as a methodology & framework for process modeling & mapping because as a methodology, it provides a systematic approach to define and analyze any process by focusing on its boundaries, stakeholders and inputs & outputs. As a framework, it supports integration (linking multiple processes in a
The TOGAF standard, short for The Open Group Architecture Framework, is a framework & methodology for developing, managing and governing enterprise architectures. TOGAF helps organizations design IT architectures that align with business goals, ensuring that technology, data, applications & business processes work together effectively. TOGAF provides the governance, structure &
The 20th century is often called the age of mechanistic medicine because it viewed the human body as a complex machine whose parts could malfunction and be repaired or replaced. This perspective led to the rise of highly specialized fields such as cardiology, orthopedics, ENT, ophthalmology & plastic surgery, each
Public contracting is the core process of value creation & risk exposure in government's New Public Management (NPM) from needs identification to procurement, delivery & post-evaluation. Historically, it suffers from fragmented accountability, poor feedback mechanisms, manual oversight and lost learning opportunities. A GRC-TQM-NPM-AI-SLA integrated management process framework aims