FlowFusion: Reference Architecture for Algorithmic Governability in Real-World Systems

FlowFusion is a structured governance architecture designed to evaluate the governability of complex systems operating under real-world conditions of scale, uncertainty, automation, and operational pressure. Modern organizations increasingly rely on algorithmic systems, automated infrastructures, and data-driven operating environments. These systems may demonstrate strong performance while gradually losing structural controllability, observability, and correction capacity. FlowFusion provides an analytical framework for assessing whether systems remain observable, governable, reversible, and correctable as they scale. The architecture introduces core governance variables including decision pressure, governance capacity, observability, override capacity, reversibility, correction latency, governance debt, and dependency concentration. This repository contains the reference architecture of FlowFusion v1.0 and provides a publicly citable description of the framework's conceptual foundations, analytical logic, and intended use cases. FlowFusion is an analytical governance framework. It does not provide legal advice, certification, audit opinions, regulatory approval, financial advice, or medical guidance.