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Aurenex

Architecture · 28 pages

Governed Context Architecture for Life Sciences AI

A reference architecture for grounding enterprise AI in regulated, lineage-tracked data.

Why retrieval quality, not model choice, determines production viability in regulated settings.

A layered reference architecture covering ingestion contracts, semantic modelling, retrieval governance and evaluation.

Control mapping against common GxP and data-privacy expectations, with worked examples.

An adoption sequence that delivers value in the first quarter without deferring governance.

Next step

Bring a real problem. We will bring the architecture.

Thirty minutes with our architects is usually enough to tell whether a programme is ready for agents, or whether the data foundation needs work first.