A Field of Practice
The discipline of designing, diagnosing, and maintaining the structural conditions that determine whether organizations can make good decisions and hold themselves accountable for outcomes over time.
Decision & Responsibility Infrastructure™ is the architecture of authority, accountability, and continuity that sits beneath organizational performance.
It's not about teaching people to make better decisions. It's about building the structural conditions that make good decisions possible — and sustainable — in the first place.
This includes: who has the authority to decide, who bears the consequences, how decisions are remembered over time, how responsibility is distributed without diffusion, and how truth can be spoken without political cost.
Organizations rely on human beings to absorb the failures of broken systems. AI adoption will remove those buffers, exposing underlying dysfunction at scale. DRI™ makes that dysfunction visible before the buffer disappears.
Organizations fail predictably when the structure beneath decision-making and accountability is poorly designed, invisible, or contradictory.
Authority separates from responsibility. People are held accountable for outcomes they cannot control. Decision rights are ambiguous. Ownership is diffuse. No one can act, and no one is truly responsible.
Decisions are forgotten. The system loses memory of why choices were made. Rationale evaporates. Context disappears. The organization repeats the same failures because it cannot remember what it learned.
Truth becomes politically expensive. Reality cannot be named without career risk. Signals are distorted. Feedback loops break. The gap between what is happening and what can be said grows until the organization operates on fiction.
These are not communication failures. They are structural failures. And they compound in AI governance contexts, where decision rights about model behavior, accountability for system outcomes, and continuity of safety commitments are often invisible, contradictory, or nonexistent.
The diagnostic method for DRI™ is Coherence — a system for identifying, naming, and correcting structural failure in human systems.
Coherence diagnoses organizational breakdowns through three structural vertices:
Is reality being accurately perceived and spoken? Can the system see what is actually happening, and can participants name it without distortion, fear, or political cost?
Does decision-making power match responsibility? Are the people with the power to decide the same people who bear the consequences?
Are commitments, decisions, and narratives stable over time? Does the system remember what it decided and why?
When these three vertices reinforce each other, the system operates with coherence. When they drift apart, humans absorb the cost.
Structural conditions look different from every chair. Find yours.
Coherence uses two diagnostic primitives to make structural failure visible. Failure Modes name structurally self-reinforcing conditions that require governance intervention. Functional Field Notes surface recurring conditions while interpretation is still forming.
17 Failure Modes. 21 Functional Field Notes. Organized into three tiers based on causal position.
Seven instruments that observe, summarize, and suggest. They do not decide.
AR-001 — Automation may observe, summarize, and suggest. Automation may not decide.
Detect failure mode patterns in organizational signals.
Surface early warning signals before failure becomes entrenched.
Orient on the diagnostic map. Identify where you are in the system.
Record when authority acted. Preserve decision rationale over time.
Prove fixes are real. Confirm structural change, not cosmetic adjustment.
Test if fixes hold over time. Monitor for structural decay.
Custody of meaning across time. Track how decisions survive handoffs.
The Coherence Record is the build record of DRI™ — published at the pace the work moves. Each edition documents what the diagnostic pipeline has found, what the methodology can and cannot see, and where the limitations are.
15 entities across 5 sectors. 117 diagnostic runs. FM-01 (Responsibility Compression) appearing in 14 of 15 entities. Methodology limitations disclosed. A diagnostic that measures gaps must disclose its own.
Building in the open means publishing failures alongside successes. Edition 4 disclosed that the scoring instrument had a 0.114 standard deviation on its primary vertex — the scores were not measurements. The architecture was rebuilt. The instrument now reproduces at 0.000.
DRI™ is developed and advanced by Justin R. Greenbaum, powered by the infrastructure at Greenbaum Labs. The diagnostic method — Coherence — is published regularly on Substack, where Failure Modes and Field Notes are explored in depth.
Decision & responsibility infrastructure. Advisory work, AI governance, and the Coherence framework.
A personal AI workshop running on local compute. The infrastructure that powers the diagnostic pipeline.
Essays on coherence, decisions, and building infrastructure for what matters. The Coherence Record lives here.
DRI™ is a field in formation. The work is public. The methodology is transparent. The canon is evolving.
Infrastructure is only visible when it fails. The work is to make failure visible before it becomes operational crisis.