Amperity unveiled its Customer Data Agent, an enterprise AI tool designed to help marketers move from insight to activation using unified customer data.
Amperity, the Seattle-based customer data company, on Wednesday introduced what it calls the first enterprise AI agent designed to bridge a long-standing gap in marketing: turning customer insights into immediate, actionable results.
The new product, the Customer Data Agent, builds on Amperity’s existing segmentation and journey orchestration tools by allowing marketers to interact with unified customer data through natural language. The goal, the company says, is to help teams move from question to execution faster—without waiting on reports, queries, or engineering support.
The launch reflects a broader shift in how artificial intelligence is being deployed inside marketing organizations. While AI tools have proliferated, many teams still struggle to operationalize insights because customer data remains fragmented across systems. Amperity’s approach centers on eliminating that friction by grounding AI directly in a single, trusted view of the customer.
“AI will not reach its potential in marketing until it’s tied directly to unified customer data,” said Tapan Patel, a research director at IDC. He said the Customer Data Agent represents a meaningful step beyond insight generation, helping marketers decide what to do next and act on it without delay.
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At the core of the new agent is Amperity’s identity resolution technology, which reconciles customer records into complete, accurate profiles. Operating on this foundation, the agent can generate insights and translate them into activation-ready segments and journeys—tasks that often take weeks when handled through traditional workflows.
The Customer Data Agent is designed to orchestrate specialized AI capabilities across segmentation, analytics, and journey design. According to the company, this enables teams to move from AI-driven insight to revenue impact in hours rather than weeks.
Instead of translating marketing questions into technical requests, users can interact conversationally with the system—asking it to build high-value customer segments, design journeys for at-risk buyers, or identify the audiences driving incremental revenue. The agent can then route outputs directly into activation or measurement.
“Companies have invested heavily in AI, but most of the value gets stuck between the model and the workflow,” said Derek Slager, Amperity’s co-founder and chief technology officer. “This closes that gap by delivering answers in a form marketers can immediately use.”
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As AI becomes central to enterprise strategy, many organizations are discovering that the biggest obstacles are not algorithms but data foundations and operational complexity. With the Customer Data Agent, Amperity is betting that tightly integrating AI with trusted customer data is what finally makes AI practical—and profitable—for marketing teams.
