Agents, operating across data and applications, will leverage decades of Teradata IP and industry knowledge to autonomously generate business value from meaningful customer signals
Teradata unveiled Autonomous Customer Intelligence, a comprehensive software and services offering engineered to convert raw data and customer signals into context-aware, real-time actions at scale. This advancement enhances Teradata’s customer experience (CX) portfolio by embedding intelligent agents throughout the entire process from creating data products to detecting signals, interpreting context, and activating autonomous responses across hybrid infrastructure.
Powered by four decades of Teradata intellectual property (IP) and deep expertise in solving mission-critical, industry-specific data challenges, these agents eliminate friction in leveraging proven insights. By doing so, Teradata enables organizations to achieve faster AI ROI while delivering enterprise-grade Autonomous Customer Intelligence.
To support enterprises in scaling this vision, Teradata is also launching new AI Services, leveraging its extensive history in enterprise deployments to realize measurable value from agentic projects. Organizations can assess gaps in their existing strategies through a Customer Intelligence Maturity workshop, which outlines Teradata AI Services designed to address those challenges.
Recognizing that generic agents often fail to deliver meaningful impact for enterprises with proprietary processes, Teradata emphasizes that the most effective agents are integrated extensions of the enterprise data platform and knowledge ecosystem. Establishing an accurate, unified data foundation is critical before autonomous bots can make customer-level decisions. This integrated approach, supported by AI Services, differentiates Teradata’s Autonomous Customer Intelligence by translating decades of industry expertise into AI models that act in real time on raw data at enterprise scale.
“In the NewtonX survey, 77% of organizations were considering or evaluating the use of agentic AI to improve and automate CX functions,” said Sumeet Arora, Chief Product Officer at Teradata. “That interest-level reflects a vision: Signals derived from customer data can be activated across marketing, service, risk, and product functions transforming customer understanding into strategic business architecture that drives outcomes. Success, however, hinges on industry-specific nuance, where Teradata’s unparalleled experience and AI Services can turn the most complex data challenges into competitive opportunities.”
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First Agentic Offering: Customer Lifetime Value (CLV)
While traditional AI models predict CLV, Teradata’s Autonomous Customer Intelligence takes a step further by proactively increasing customer value in real time across millions of data points. This enables organizations to engage, retain, and grow their most valuable relationships. Agent decisioning is enhanced with business context and signal-driven architecture, delivering personalized experiences and informed decisions with speed, context, and precision.
Teradata’s Customer Intelligence Framework and AI Services
At the core of Teradata’s approach is the Customer Intelligence Framework, an end-to-end architecture designed to enable enterprises to act intelligently and autonomously on customer insights. Teradata AI Services deploy the framework at scale while ensuring security, governance, and cost predictability. This includes data engineering, pipeline management, Enterprise Vector Store and ModelOps deployment, and integration for agents through AgentBuilder and MCP Server all governed to ensure trusted, secure outcomes. The Customer Intelligence Maturity workshop identifies gaps in strategy and architecture, guiding enterprises toward actionable improvements.
Key Components of the Customer Intelligence Framework:
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Data Products: Reusable, AI-ready assets built on integrated data, including Teradata’s Industry Data Models (IDM) and Industry Analytic Schema (IAS), enabling repeated application for insights without reconstruction.
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Analytics Layer: Detects patterns, predicts outcomes, and delivers insights. Includes Feature Engineering for signal extraction, ClearScape Analytics for in-database AI/ML, Enterprise Vector Store for scalable vector management, and AI Workbench for secure AI deployment.
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Signals: Real-time intelligence reflecting context, behavior, or intent, embedded into workflows to drive automated actions via Vantage Customer Experience (VCX).
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Agents: Orchestrate decisions and act autonomously across layers. AgentBuilder builds multi-agent systems; Teradata Agents provide pre-configured templates; AI Applications operationalize insights at scale using natural language interfaces.
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AI for CX Use Case Solutions: Pre-packaged, ready-to-deploy solutions designed to continuously enhance customer experience while leveraging the latest AI advancements.
With Autonomous Customer Intelligence, Teradata delivers a robust framework that empowers organizations to transform complex customer data into actionable insights, automate decision-making, and drive measurable business outcomes at enterprise scale.