DESIGN CHECK (test, delete): What digest-pinned governance means
A design check for the explainer layout: this post exists to be looked at, not read, and will be deleted.
Early signal — one small study.
Solid — replicated in independent labs.
Well established — consistent meta-analytic support.
A design check for the explainer layout: this post exists to be looked at, not read, and will be deleted.
We build agentic workflows as bounded systems: a model that chooses among defined actions, each action governed, each result recorded, so that automation gains judgement without losing accountability.
We route telemetry from every tool through one shared model of your system, so that an alert arrives as a statement about a known component with known dependencies, and an incident is worked from its cause rather than its symptoms.
We gate releases on what the system model says about the change, its dependencies and the state of what it touches, so that a pipeline refuses a deployment for reasons a script could never have been written to know.
We build roadmaps as ordered sets of independent modules, each with a stated outcome and a stated cost, so that delivery can change the order without breaking the plan and each investment can be judged on what it returned.
We assess security risk over a graph of your assets, their dependencies and their criticality, so that the posture of the estate is computed from a model that is kept true, not estimated in a register that is kept by hand.
We build retrieval-augmented systems whose language model answers only from a verified body of your knowledge, so that every statement it makes can be traced to a source you control.
We derive the order of disaster recovery from the dependency graph of your systems, so that what is restored first is what everything else needs, and the plan is as current as the model it is read from.
We write infrastructure policy against the classes and relationships in a model of your estate, not against the names of resources, so that a rule written once holds for everything it describes, including what does not exist yet.
We build user personas and journey maps in the vocabulary of the same ontology that describes your data and systems, so that what research learns about people can be connected directly to what the systems do for them.
We track where data came from and what was done to it at the level of the business concept it represents, not only at the level of the table and column that happened to hold it.
We give your cloud estate a living model of what it contains, what depends on what, and what each part is for, so that its operation can be reasoned about rather than remembered.
We move enterprise data beyond field-by-field integration to a shared semantic layer, where every source is described in terms of the same business concepts, so that a question asked once means the same thing everywhere.
We validate every record against one exact version of the rules, named by the cryptographic digest of the rules themselves, so that what a record was checked against can be stated and rechecked years later.
We run business and technology alignment as a repeatable method with a written output, so that the agreement between what the organisation wants and what its systems do survives the workshop that produced it.
We design record-keeping so that a third party can verify what was written, by whom and under which rules, without having to trust the system that wrote it.
We build design systems whose components carry declared meaning, not only declared appearance, so that an interface can be assembled, personalised and checked by rules that know what each part is for.