My objective was to provide one universal, intuitive and stakeholder-oriented Action Architecture for understanding, designing, governing and executing value-creating activities across the enterprise, from business modeling to autonomous AI operations. The architecture consists of five interconnected layers, each using the same Event-driven SIPOC methodology, with explicit objectives, trigger events, process
Governance defines what should be achieved. Risk Management determines what could go wrong. Compliance establishes what must be respected. Quality Management ensures that processes and their outcomes consistently fulfill requirements & intended objectives. Together, they establish an integrated management system for responsible human & AI-driven enterprise operations. Event-driven SIPOC model
My objective is for AI users to understand: how information becomes AI intelligence, how intelligence is used to perform tasks & how the entire journey is governed to produce reliable, safe & useful outcomes. The five-stage event-driven AI Operating & Control model follows the analogy of the Vacuum Cleaner sucking
Inspired by last year's nobel prize winners in Economic Sciences, Joel Mokyr, Philippe Aghion & Peter Howitt, I am proposing a value chain focusing on the processes & data from Knowledge to Innovation to Process Transformation to Value Creation to Economic Growth and eventually to New Innovation Opportunities.
How does management know what its AI agents are doing, why they are doing it, what information they use, what authority they possess, what they produce, who is affected & who remains accountable? The Enterprise Action & Delegation Architecture makes delegation governable from strategy to action. > Enterprise Principal Architecture:
The important architectural shift with the banker's algorithm is to treat capital not as a largely fixed annual constraint that business units subsequently consume, but as a continuously recalculated scarce safety resource attached to risk-taking. 1. Assess Risk Change Determine how a material change like a new transaction,
Traditional banking controls generally assume that actions occur at a speed at which limits, escalation processes & humans can intervene. Agentic AI changes that assumption. An action that is safe for an individual agent is not necessarily safe for the bank & an action safe for one bank may still
With this event-driven AI-ready QMS Assurance Architecture on three hierarchical levels, the process architecture becomes the audit architecture. Q1 Understand Context & Stakeholders Ensure the QMS remains aligned with organizational context & relevant interested-party requirements. Q2 Set Quality Strategy & Objectives Translate context & stakeholder requirements into measurable quality direction.
This AI-driven Business Model blueprint for professional services represents a transition from the traditional expert-hours business model toward a continuous Human & AI enterprise transformation & trust model. 1. Identify AI Opportunities Convert strategic, operational, regulatory & technological change into prioritized AI-enabled business opportunities. Should AI be applied here at
ProcessHorizon enables enterprises to design, govern, document and assure how humans, AI agents, data & controls work together. Its Enterprise Process & Action Architecture uses event-driven SIPOC to make the enterprise operating model transparent across three connected layers: Strategy > Management > Operations This provides the architectural foundation for a
1. American Law as Professional & Adjudication System Resolve concrete disputes through an adversarial, precedent-informed judicial process while maintaining constitutional constraints, due process and consistency across cases. 2. European Law as Codified Public Governance System Translate democratically determined societal objectives into coherent, accessible and predictable legal requirements so that citizens
Dataism explains the growing power of data processing while event-driven SIPOC explains how that power can be directed toward human progress. Data is the fuel. AI is the accelerator. Process is the engine. Human purpose determines the destination & event-driven SIPOC provides the architecture connecting them. From Data-centric to Purpose-centric