From Medallion to Context: Building an Evidence-Driven Data Architecture

From Medallion to Context: Building an Evidence-Driven Data Architecture

Enterprise data is spread across CRMs, emails, meeting transcripts, and documents. Connecting these sources is only the beginning. The harder challenge is understanding which records describe the same entity, which interactions belong to which opportunity, and how that context changes over time.

Medallion architecture assumes each record has one authoritative source. Commercial data does not work that way. A CRM field, a transcript, and an email thread can each describe the same opportunity and disagree, and all three are valid observations from their source.

This talk covers how we are building Narrio’s context layer on a medallion foundation, keeping the layer separation while replacing the single-source assumption underneath it. It combines deterministic processing, selective AI, and evidence-backed reconciliation.

Key takeaway

Reliable AI needs more than accessible data. It needs context that is traceable, explicit about uncertainty, and able to change when new evidence arrives.