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Identity enrichment is probabilistic—so false positives are predictable. This guide shows how to reduce over-flagging by separating signals from decisions, using simple confidence tiers (high/medium/low), adding freshness + consistency checks, and placing enrichment at the right decision moments.

Build a practical API-first identity enrichment layer using phone, email, and name lookups. Learn what “enrichment signals” should look like, how IRBIS modules fit into product workflows, when to use portal vs API, and how to roll out safely with measurable outcomes

Turn thin identifiers (phone, email, name) into structured signals your AI workflows can score, route, and explain. This article shows an API-first reference architecture for an internal “Enrichment Service,” plus a practical rollout plan using IRBIS via portal + API.