My second SSRN paper, The Decision Model, introduces decisions as the atomic unit of organizational progress. Built around the OGAO loop, the model shows how decision flow reveals organizational health. It defines decision records, chains, and core measures like clarity, velocity, and accountability. By categorizing decisions and situating them across levels and contexts, the model creates a foundation for AI to accelerate decision-making while preserving human oversight.

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I’m excited to share that my second working paper has just been published on SSRN: The Ragsdale Framework for Autonomous Organizations: The Decision Model. This paper takes the framework a step further by focusing on what I believe is the true atomic unit of organizational progress: decisions.

Most management theories emphasize structures, processes, or resources. But all of these are downstream from decisions. Without decisions, structures are inert, processes repetitive, and resources dormant. The Decision Model reframes decisions not as incidental steps, but as the engine of organizational progress.

At its core is the OGAO loop (Opportunity → Goal → Action → Outcome) running continuously and catalyzed by Insight. Every recognition of an opportunity, every goal set, every action taken, and every outcome interpreted is a decision point. When linked together, these create a measurable signal of organizational health.

The paper develops several key contributions:

• Decision Flow as Substrate – Decisions are treated as the base layer of organizational life, the soil from which outcomes grow. Instead of measuring only results, we can now diagnose the conditions that produced them.
• Decision Records & Chains – By capturing a minimal record of each decision and linking related choices together, organizations can see how intent turns into effect.
• Core Measures of Health – Volume, velocity, clarity, alignment, accountability, distribution, churn, and yield become diagnostic markers of decision quality.
• Types and Attributes of Decisions – From directional and resource decisions to operational and evolutionary ones, every category is made measurable and improvable.
• Decision Context – Decisions shift meaning depending on organizational level (frontline to crownline) and size (solo founder to global enterprise). The model accounts for these differences, showing where flow accelerates or breaks down.
• AI as Accelerant – For the first time, AI makes the invisible substrate of decisions visible. It can surface signals, simulate alternatives, enforce rules, and optimize flow while still under human oversight.

The Decision Model is not just theory. It’s informed by decades of practice and live application through Kaamfu, which functions as a laboratory for capturing and refining decision flow at scale.

Ultimately, this model aims to give leaders a clearer lens for diagnosing organizational health and accelerating progress toward the future where intelligent systems carry much of the execution while humans provide oversight, direction, and purpose.

You can read the full paper on the Decision Model here: https://papers.ssrn.com/abstract=5423934.

You can read the original paper here: https://papers.ssrn.com/abstract=5395086.

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