Amperity is taking aim at one of marketing’s most persistent problems: the gap between insight and action.

The AI-powered Customer Data Cloud company has introduced its Customer Data Agent, positioning it as the first enterprise AI agent designed not just to analyze customer data, but to act on it. Built on unified, trusted customer profiles, the agent allows marketers to move from questions to live segments and journeys in hours instead of weeks.

In an era where AI tools are plentiful but impact is uneven, Amperity’s message is clear: AI only works in marketing when it’s deeply connected to customer data and embedded directly into daily workflows.

From AI Insight to Activation—Without the Wait

For many marketing teams, access to customer insights remains a bottleneck. Data lives across systems, insights require specialized queries, and activation often depends on engineering backlogs. The result is slow decision-making and missed opportunities.

The Customer Data Agent is designed to eliminate that friction. Using conversational, natural-language prompts, marketers can explore unified customer data, generate insights, and immediately turn those insights into activation-ready segments and journeys—without translating questions into SQL, tickets, or dashboards.

“This marks an important step forward for the category,” said Tapan Patel, Research Director at IDC. “It shows how AI can move from simply providing customer insights to actually helping marketers decide what to do next.”

A Different Model for Enterprise AI

Unlike generic AI assistants layered onto fragmented datasets, Amperity’s Customer Data Agent is built on the company’s patented identity resolution technology, giving it a complete and accurate view of the customer across channels and touchpoints.

That foundation enables a different kind of enterprise AI—one that can be trusted to support decisions, not just surface patterns.

With this release, the Customer Data Agent:

• Operates on unified, real-time customer profiles, not system-level records

• Orchestrates specialized AI agents for segmentation, journey design, and analytics

• Compresses the timeline from insight to revenue impact from weeks to hours

This approach reflects a broader industry shift: AI is no longer judged by how impressive its outputs look, but by how effectively those outputs translate into measurable business results.

AI That Matches How Marketers Actually Work

Rather than forcing teams to adapt to new technical interfaces, the Customer Data Agent is designed to work the way marketers already think and communicate.

Teams can ask plain-language questions such as:

• “Build a segment of high-value customers likely to repurchase this quarter.”

• “Design a journey for first-time buyers with declining engagement.”

• “Show which customer groups are driving the most incremental revenue.”

The agent delivers answers and can route them directly into activation, measurement, or optimization workflows—closing the loop between understanding and execution.

“Most AI value gets stuck between the model and the workflow,” said Derek Slager, Co-Founder and CTO at Amperity. “The Customer Data Agent closes that gap by delivering outputs that are immediately usable.”

Why This Matters Now

AI has become central to enterprise marketing strategies, but many organizations still struggle to operationalize it. The challenge is rarely model performance—it’s the lack of clean, unified data and the operational layers needed to act on AI outputs.

Amperity’s Customer Data Agent brings those pieces together: trusted data, applied intelligence, and built-in activation. For consumer brands under pressure to personalize faster, improve ROI, and reduce dependency on technical teams, that combination could be a meaningful competitive advantage.

As AI continues to move from experimentation to expectation, tools that directly connect intelligence to execution may define the next phase of marketing technology.

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