Agentic AI for the enterprise: Powered by Teradata Enterprise AgentStack

Agentic AI for the enterprise: Powered by Teradata Enterprise AgentStack

Build, deploy, and govern enterprise‑grade AI agents quickly, safely, and at scale.

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Barriers to agentic AI

Critical gaps that undermine agentic AI success

Most AI initiatives fail because they never move beyond experimentation. The main obstacle is managing the complex agent lifecycle across build, integration, deployment, and governance.

  • Injecting trusted data securely.
  • Embedding context, logic, and policies.
  • Prototype → production tooling gaps.
  • Enforcing permissions, guardrails, isolation. 
  • Packaging agents, tools, models, and memory.
  • Agents don’t sleep and will ask questions. Need a high-scalability, cost-effective, reliable platform.
  • Connecting multiple data sources (hybrid).
  • Ensuring consistency, security, and compliance.
  • Visibility into reasoning, tools, and actions. 
  • Governance, compliance, and security. 
  • Managing drift, degradation, cost, and explainability. 
AgentStack capabilities

Powering agentic AI with enterprise-grade intelligence

Teradata Enterprise AgentStack unifies everything needed to build, deploy, and govern AI agents. AgentBuilder accelerates creation using no‑code and pro‑code tools, while the Enterprise MCP provides secure, context‑rich access to trusted enterprise data.

AgentEngine delivers scalable execution across hybrid environments, and AgentOps centralizes monitoring, governance, and guardrails. Together, they help organizations move from AI pilots to production‑grade autonomous agents quickly and safely.

Enterprise AgentStack

Build

Build​

AgentBuilder: Build intelligent agents faster using open-source no-code and pro-code tools integrated with Teradata Vantage.  

Teradata Enterprise MCP is a curated set of tools, prompts, and resources designed to simplify and enhance interaction with Teradata Vantage.

Deployed_Code

Deploy

AgentEngine: Provides a seamless way to run agents by providing memory ensuring consistency, reliability, and enterprise readiness.

Action_Key

Manage and monitor

AgentOps: Capabilities to support the full lifecycle of intelligent agents—from rapid prototyping to enterprise-grade deployment and governance. included built-in features for compliance, auditability, and policy enforcement, ensuring that agents operate within defined guardrails and governance frameworks.

Use cases

How agentic AI drives measurable outcomes across the enterprise

We enable expert agents enriched with industry context and enterprise-wide intelligence to drive more autonomous, informed decision-making—transforming workflows, accelerating decisions, and unlocking new business value across marketing, sales, service, and risk management.

Related

See agentic AI in action

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