Guide

Mind the AI Agent Gap: Why AI Agents Need Real-Time Customer Intelligence Infrastructure

AI agents aren't failing because your LLMs aren't sophisticated enough. They're failing because they can't see who they're talking to. Real-time customer intelligence is the missing layer that transforms generic AI interactions into experiences that actually understand your customers. This guide explains how leading product and engineering teams are bridging the intelligence gap to unleash the full potential of their AI investments. Download the guide to discover how you can use real-time customer intelligence to:

  • Give AI agents complete context in under 50ms so conversations feel natural, not scripted
  • Unify real-time session behavior with historical customer insights without building custom infrastructure
  • Enable AI to recognize intent as it evolves—from budget preferences to frustration patterns—and respond accordingly
  • Free your engineering team from maintaining fragmented data pipelines so they can focus on AI experience design

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Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.

Get Started

Building AI-powered applications? Spin it up. Inspect the architecture. Watch your first intervention fire — all in under 10 minutes. Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.