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Information & Authority Systems

Cognisive designs and governs information systems where authority, interpretive stability, and trust must persist under scrutiny. This work sits at the intersection of intelligence, publishing discipline, and modern retrieval systems.

System architecture

Authority architecture

Design of entity structure, narrative hierarchy, and signal consistency so institutions remain legible to humans, counsel, and modern retrieval systems.

Editorial governance

Standards, review discipline, and publication control that prevent drift, contradiction, and reputational erosion over time.

Interpretive risk control

Identification and mitigation of how information may be misread, misused, or decontextualized across platforms and systems.

Retrieval-era optimization

Structuring content to be coherent, attributable, and stable within AI-driven search, summarization, and citation environments.

1
DiagnosisAudit existing content, entities, narratives, and external signals for coherence and exposure.
2
ArchitectureDesign the authority model: what exists, what speaks, and how meaning is preserved.
3
ImplementationExecute or supervise structural, editorial, and technical changes with strict adherence to the model.
4
GovernanceEstablish rules, cadence, and oversight to keep authority intact as systems evolve.