Amperity unveiled real-time AI capabilities and new assistants at Amplify 2026 to enable faster, more personalized customer engagement by combining context, decision-making, and execution in a single system.

New features include Recommended Actions (plain-language, executable actions based on current trends), MCP Server (real-time intelligence integration without data duplication), Real-time Activation (in-session personalization and instant responses to behaviors like cart abandonment), and Amp Insights (visibility into Amperity usage and cost transparency).

The platform fuses identity-resolved customer profiles with live signals to support decision-making and execution in one system through features like Recommended Actions and the Amperity MCP Server, which integrate with existing tools without duplicating data.

Industry context notes that brands increasingly want platforms that connect trusted data with real-time decisioning and execution, not just analysis, a trend highlighted by IDC’s Gerry Murray.

A continuous learning loop is created as every action feeds back into the shared customer context to improve decisions over time without adding team complexity.

Every action updates the central customer context, creating a learning loop to improve decisions over time while maintaining data governance and consistency.

Continuous learning loop: every action feeds back into the shared customer context layer, improving decisions over time without adding team complexity.

The launch signals a market shift from data unification alone to real-time decisioning and action, with rising competition in the customer data software space.

Expected outcomes include more relevant real-time experiences, faster execution, greater efficiency, and higher engagement, conversion, and returns for brands.

Expected outcomes include more relevant real-time experiences, faster execution, reduced operational friction, and higher engagement, conversion, and returns.

The platform centers on a shared real-time customer context layer that unifies identity, behavior, and historical data to support immediate decision-making.

The system centers on a shared real-time customer context that unifies identity, behavior, and history to ground decisions in current activity.