Teradata launches AI-driven customer intelligence package to boost CX

Teradata has launched Autonomous Customer Intelligence, a new software and services package intended to transform raw data and customer signals into context-aware, real-time actions at scale within organisations.

This offering enhances Teradata's customer experience solutions by embedding agents throughout the data lifecycle process, from building data products and detecting signals to interpreting context and executing autonomous responses across hybrid IT environments. These agents draw upon Teradata's intellectual property and industry knowledge acquired over the past four decades to create business value from customer signals. The company states that automating the application of this expertise allows its customers to achieve faster returns on AI investment, while delivering enterprise-scale Autonomous Customer Intelligence.

Supporting the rollout, Teradata is also introducing new AI Services. These services leverage the company's track record in enterprise deployments to help customers achieve value from agentic projects. As part of this approach, organisations can participate in a Customer Intelligence Maturity workshop, designed to identify gaps in existing strategies and architectures that may impact the deployment of autonomous customer intelligence. The workshop provides recommendations for applying Teradata AI Services to address those challenges.

Customer investment trends

Teradata referenced a recent survey conducted by NewtonX in the United States, which found that most organisations are planning to increase investments in customer experience activities, with 61% boosting spending on both general customer experience initiatives and AI-specific programmes this year. The survey also revealed that many organisations believe generic agents do not deliver a meaningful business impact for companies with sophisticated, proprietary processes. Teradata argues that agents are most effective when built upon an enterprise's integrated data platform and broader knowledge ecosystem, rather than as a standalone solution.

The company highlights that establishing an accurate, integrated data foundation is both the most challenging and most critical component when autonomous bots are responsible for customer-level decisions. Teradata claims its integrated approach, combined with AI Services, differentiates its Autonomous Customer Intelligence solution. This approach translates industry expertise and contextual knowledge into AI models that allow agents to operate in real time on enterprise-scale raw data.

"In the NewtonX survey, 77% of organisations 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."

Customer Lifetime Value

The Autonomous Customer Intelligence solution's first agentic offering focuses on Customer Lifetime Value (CLV). While traditional AI models predict CLV, Teradata's approach aims to increase value by reacting to real-time, customer-specific signals - even when operating across vast datasets. According to Teradata, this allows organisations to better engage, retain and grow their most valuable relationships, with agent decision-making enhanced by business context and signal-driven architecture.

Teradata notes that organisations using this approach should work with AI-ready data products and scalable models, enabling the detection of signals, personalised experiences, and informed decision-making with speed and context. The company highlights the need for platforms that manage complex data while supporting the simplicity required for agentic AI.

Customer Intelligence Framework

Central to Teradata's solution is the Customer Intelligence Framework, an integrated suite of products and services designed to help businesses act intelligently and autonomously on customer knowledge. Teradata AI Services support deployment of this framework at enterprise scale, emphasising data security, governance, and cost predictability. The services cover data engineering, pipeline management, deployment of AI support tools such as Enterprise Vector Store and ModelOps, as well as integration and development for agent systems via AgentBuilder and MCP server, all underpinned by a data governance structure to ensure secure and trusted results.

The company outlines the core elements of its framework. Data products form the foundational layer; these are reusable AI-ready assets that organise behaviour, transactions and interactions, and are constructed on integrated data using Teradata's Industry Data Models and Industry Analytic Schema. The analytics layer is intended to detect patterns and generate insights through feature engineering, scalable vector management for AI, and an AI/ML engine for real-time intelligence. The intelligence layer focuses on detecting and acting upon signals, embedding them into workflows for automated decision-making.

The agentic layer, which builds automation and adaptability, includes AgentBuilder for building and managing multi-agent systems, pre-configured Teradata Agents that use curated data and data products, and AI Applications operationalising customer insights at scale. Teradata also offers packaged AI-for-CX use case solutions, which the company says can be deployed rapidly and allow for insight reuse across workflows.

Availability

Autonomous Customer Intelligence from Teradata is available now, with AgentBuilder capabilities set for private preview in the fourth quarter. The company advises that new agent tools will be introduced to customers on an ongoing basis.