Why this exists
The firm was built for a world that was predictable.
It was a good design for that world. Hierarchies to route decisions, layers to buffer uncertainty, and a pyramid of billable labour underneath. Every part of it assumed the environment would stay still long enough to plan against.
The predictability is gone and the structure remains. That gap is what most organizations are actually experiencing when they say their AI investment has not paid off.
The argument
Organizations are not machines, and it has stopped being a metaphor.
For decades organizations were structured like machines: optimized for throughput, tuned for a world that held still. The postmortem on failed transformation is fairly conclusive at this point — the machine model is not compatible with an environment that moves faster than the machine can be retooled. It extracts energy from the people inside it rather than generating any.
What replaces it is not a flatter machine. It is something closer to an organism: many loops running at once, held coherent rather than held in line, adapting locally without losing the whole. That distinction sounds soft until you try to measure it, at which point it becomes very concrete.
We are moving from a world of hierarchies to a world of networks. From controlling resources to orchestrating value. From extracting labour to sharing in what it produces.
The purpose, stated plainly
To improve the metabolic health of organizations— after leaders can think rigorously about strategy under uncertainty. QCEA (Prof. Clayton Williams) is the scientific foundation we teach first. Metabolic health, Systems of Cognition, and Judgment Infrastructure are how we help organizations operate that foundation with AI in the room.
Most vendors sell a better system of work. We start by changing how executives and strategic planners decide what the organization must keep doing to stay coherent while agents accelerate local tasks. On the supply side of the network, that same disruption is why Value Producers become Context Creators rather than residual knowledge workers.
Who is building it
Jeremy Schinzel
Founder and Chief Enablement Officer. A translational leader working at the intersection of AI and organizational design — which in practice means moving between two conversations that rarely hear each other: the one about what the technology can do, and the one about whether the organization can absorb it.
Creator of the Collaboration, Intentions & Orchestration framework for the post-knowledge-work era, and the architect behind Meridian, the Enterprise Service Management (ESM) platform — still in development — and the substrate beneath it. He is also the network’s first participant, under the same attribution rules as everyone else — if the model does not work for a producer, it fails on him first.
What we believe
Three things, each with a consequence attached.
Stated as beliefs rather than values, because a belief can be wrong and a value cannot. Each of these changes what we do, and you should be able to see the change.
Leaders must relearn strategy before they rebuild the stack
Most organizations still run strategy as annual and multi-year planning. That ritual fails at machine tempo. We start by educating executives and strategic planners in QCEA — Prof. Clayton Williams’ science of strategy under uncertainty — through a licensed Strategy Engineer AI agent, before selling redesign or infrastructure.
Metabolic health is the design problem under AI
Transformation usually gets postmortemed as a strategy or tooling problem. Our claim is often metabolic: the plan may be fine while the organization cannot convert information and action into coherent adaptation — especially when AI speeds local work and critical context stays personal. Organizational design for metabolic health is additive to QCEA, not a replacement for it.
The people who create context should keep their name on it
The firm model captured the spread between what a specialist produced and what the client paid — and stripped provenance along the way. In the Post-Knowledge Work Era we treat Value Producers as Context Creators: engagements are owned by the network so collaboration is not territorial, and contributions stay attributed to the person who made them. That is a structural commitment, not a percentage promise.
The company is small on purpose. The network is where the capacity is.
There is no bench to keep busy, which is the structural reason we can tell you the answer is no. A firm with people to staff cannot afford to say that often, and on the occasions it is the right answer it is the most useful thing a first conversation can produce.