Teradata has introduced Autonomous Customer Intelligence, a new integrated software and services offering designed to turn raw customer data and behavioral signals into real-time, context-aware actions at scale. This solution strengthens Teradata’s CX portfolio by embedding intelligent “agents” throughout the data lifecycle — from data product creation and signal detection to contextual interpretation and autonomous responses — even across hybrid IT infrastructures.
These embedded agents leverage Teradata’s decades of domain expertise and proprietary intellectual property to transform customer signals into actionable business value. By automating the application of that expertise, Teradata says its customers can achieve faster returns on their AI investments, scaling “autonomous customer intelligence” across the enterprise.
To support adoption, Teradata is also launching AI Services — leveraging its experience in large enterprise environments — and offering a Customer Intelligence Maturity workshop. In this workshop, organizations can surface gaps in their current CX strategies and architectures and receive tailored recommendations for deploying autonomous customer intelligence with Teradata’s AI Services.
Teradata cites a recent NewtonX U.S. survey showing that 61 % of organizations plan to increase spending across both general customer experience efforts and AI-specific programs this year. The survey also found skepticism about “generic agents” — Teradata argues that agents grounded in a business’s own integrated data and expertise are far more effective than standalone solutions.
According to the company, the biggest hurdle — and the biggest enabler — for autonomous CX is building a reliable, integrated data foundation. Teradata positions its approach as differentiated because it unites contextual knowledge and domain experience into AI models that empower real-time decision-making over enterprise-scale datasets.
Sumeet Arora, Teradata’s Chief Product Officer, commented:
“Signals derived from customer data can be activated across marketing, service, risk, and product functions — transforming customer insight into strategic outcomes. Success, however, hinges on industry-specific nuance, where Teradata’s experience and AI Services can turn complexity into opportunity.”
The first agentic use case in the Autonomous Customer Intelligence suite targets Customer Lifetime Value (CLV). Rather than merely predicting CLV, Teradata’s approach reacts dynamically to individual customer signals — even across massive datasets — allowing businesses to better engage, retain, and grow high-value relationships. Decision-making is enriched by business context and signal-driven architecture.
Teradata underscores that organizations must work with AI-ready data products and scalable models so they can detect signals, orchestrate personalized experiences, and make informed decisions quickly and contextually. The company also stresses the importance of platforms that can balance data complexity with operational simplicity for agentic AI.
At the heart of the offering is the Customer Intelligence Framework, a cohesive suite of products and services intended to enable businesses to act autonomously and intelligently on customer insights. Teradata AI Services facilitate enterprise-scale deployment while emphasizing governance, security, and cost predictability. Services span data engineering, pipeline management, AI tooling (e.g. vector stores, ModelOps), agent system development (AgentBuilder, MCP server), and integration into existing workflows.
The framework is organized into multiple layers:
- Data products: reusable, AI-ready assets built on integrated enterprise data models
- Analytics: feature engineering, pattern detection, vector management, and ML engines
- Intelligence: signal detection and embedding into operational workflows
- Agentic layer: AgentBuilder, pre-configured agents, and AI-powered application deployment
Teradata also offers packaged, CX-focused AI use cases that can be deployed rapidly and reused across workflows.
