Automation inherits the model beneath it.

An agent can move quickly and still move in the wrong direction. The quality of an automated workflow depends on the world it has been given: what counts as a customer, which document is authoritative, when two names refer to the same entity, and which exception should stop an action.

Those are ontology questions before they are automation questions.

Make the working model explicit

Consilience gives people a surface to define and revise:

entities and their aliases;
relationships and constraints;
source documents and provenance;
decisions, exceptions, and temporal changes;
the actions an agent may take.

This structure remains close to the original material. A user can follow a claim back to the paragraph, file, record, or decision that supports it.

Then let agents work

Once a team shares an inspectable model, an agent can search, compare, draft, update, and operate with fewer hidden assumptions. Durable context lets software inherit the evidence behind human judgment.

Consilience turns your knowledge into a world your AI can work in.