Real-Time Decisioning for AI Agents: Why you Need a Customer Context Layer First

This post discusses why AI agents require a customer context layer to make real-time decisions in a composable, data-centric marketing technology architecture.

• •Data platforms (Databricks, Snowflake, BigQuery) are now the gravitational center of martech stacks, replacing the traditional vendor-centric model.
• •The customer context layer is a real-time behavioral infrastructure connecting data foundations to customer-facing systems, enabling AI agents to understand current customer actions.
• •Behavioral event streams—structured, schema-validated data about customer interactions—provide the richest real-time signals for AI agent decisioning.
• •The semantic layer must enforce data coherence at collection time to prevent AI systems from amplifying errors downstream.
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