You choose which parts of the business to model. The platform reads your material and proposes what it found. Your experts decide what is correct, and what they confirm is the model.
The output is one part of the business written down once, with the source named behind every statement. It is reusable, and it tells you when it needs attention.

Parsing is deterministic. No language model touches this step, and the same file reads the same way every time.
Internal policy, external regulation and the controls that enforce them.
Procedures, manuals and operating instructions: how the work is described today.
Application registers, architecture documents and integration lists.
Table and column definitions, exported from your databases.
API definitions and message formats, read structurally.
Risk registers, control lists and inventories kept as spreadsheets.
Domains first, then extraction into the fixed set of types, then your experts confirm. Only then the optional link down to the systems that implement it.
What the platform proposes has to survive checking before it can be published. Five controls do the checking, and none of them is optional.
The checks do not stop at publish. The model records every change made to it, and it flags when the material underneath it changes.

All four read and write the same model. See the whole platform.
Ask it, and the answer names its sources. Test a change and see what it touches before you commit.
Coherence Change OrchestratorAny initiative modelled on the transformation map, then driven through two gates to the work packages that land it.
Coherence Compute EngineThe compute under the other three. Nobody opens it directly, and it is what makes the same material give the same answer every time.
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