A CDP is the Best Contextual Data Layer for Agentic Systems

In 2025, the integration of Customer Data Platforms (CDPs) as a contextual data layer for agentic systems is highlighted as crucial for enhancing decision-making capabilities in AI agents. The article discusses how structuring an agent's memory into separate blocks, as demonstrated by the MemGPT project, improves the agent's ability to respond by maintaining critical context information. This structured context enables more accurate and efficient actions, such as fixing failed payments or choosing the correct communication channel. The article emphasizes the importance of a robust infrastructure for collecting, validating, and maintaining data to deliver effective context to AI agents. Examples of successful implementations include FOX, Creative Market, and IBM, which have improved their business metrics by using a contextual data layer. Twilio Segment is promoted as a viable option for building such a layer, offering tools for real-time data validation, profile management, and synchronization with data warehouses. The piece concludes with practical steps for implementing a contextual data strategy, stressing the importance of maintaining a small set of traits and ensuring data accuracy to avoid erroneous AI actions.