Organizations today operate within increasingly complex environments where small changes can produce significant consequences. Whether in healthcare, manufacturing, finance, transportation, or critical infrastructure, leaders are constantly searching for better ways to identify emerging risks before they become costly failures.
Andy Hyman believes he has developed a framework designed to address that challenge.
Known as the Marginal Point of Systemic Drift, or MPOSD, the framework is intended to identify the conditions that precede failure in complex systems before the failure itself occurs. After years of development, refinement, and testing, Hyman says the concept has reached a point where it is ready to be evaluated in real-world environments.
A provisional patent for the framework was filed on April 15, 2026, marking an important milestone in the effort to move the concept from theory to practical implementation. “The goal is not simply to predict failure,” Hyman explains. “The goal is to recognize the measurable conditions that emerge as a system begins drifting away from stability, allowing organizations to intervene before significant damage occurs.”
A defining characteristic of MPOSD is that it is designed to operate outside the system it is monitoring. By maintaining separation from the internal processes it evaluates, the framework aims to provide an independent perspective on system activity, reducing the risk of internal bias or blind spots that can obscure early warning signals.
The concept builds on a challenge that has long confronted researchers and business leaders. Many failures appear sudden from the outside, but investigations often reveal that warning signs existed long before the breaking point. The difficulty lies in identifying which signals matter and understanding how seemingly unrelated variables combine to create vulnerability within a system.
Hyman’s framework focuses on what he describes as a critical transition zone. According to his research, systems often experience a period of drift during which performance appears acceptable even as underlying conditions become increasingly unstable. The Marginal Point of Systemic Drift is intended to identify that transition before a major disruption occurs.
The potential implications are significant because modern organizations depend on interconnected systems that are becoming more difficult to monitor using traditional methods alone. A disruption in one area can quickly affect operations elsewhere, creating cascading consequences that are difficult to anticipate.
“Most organizations are very good at responding to failure after it becomes visible,” says Hyman. “What they need is a way to recognize the conditions that make failure increasingly likely before they reach that point.”
The framework has attracted interest because it approaches risk from a systems perspective rather than focusing on isolated events. Instead of evaluating individual failures after they occur, MPOSD seeks to identify patterns that indicate when a system may be approaching instability.
Hyman’s professional background has shaped much of that thinking. Throughout his career, he has worked at the intersection of strategy, planning, and organizational performance, studying how complex environments evolve and why certain systems remain resilient while others break down under pressure.
Today, he sees growing demand for tools that can help organizations manage uncertainty more effectively.
Rapid technological change, expanding operational complexity, and increasing interdependence have created environments where traditional risk management approaches may not always provide sufficient visibility. As a result, many organizations are exploring new ways to improve resilience and decision-making.
For Hyman, that creates an opportunity to test MPOSD in practical settings. “The evidence supporting the framework continues to grow,” he says. “The next step is working with organizations that are willing to evaluate the concept in real-world conditions and help determine how it can create measurable value.”
While the framework is still in the early stages of commercialization, Hyman believes its potential extends across multiple industries. Any organization that relies on complex systems, whether operational, technological, financial, or organizational, could potentially benefit from earlier visibility into emerging instability.
As conversations around resilience, risk management, and predictive decision-making continue to evolve, Hyman hopes MPOSD will contribute a new perspective to how organizations think about failure.
“We spend enormous resources studying what went wrong after the fact,” he says. “My focus is on understanding what happens immediately before failure and whether we can identify those conditions early enough to change the outcome.”
For organizations seeking new ways to navigate complexity, that question may prove increasingly important in the years ahead.
