Whitepaper

Agentic AI Stack with Astera Centerprise: Whitepaper

AI agents can now design data models, map sources and build pipelines from a plain-language request. Getting that work into production takes more than a model. It takes business context, governed access and execution that stays predictable. This whitepaper shows how Astera Centerprise brings all of it together on one data platform.

  • The nine components of an agentic data stack, and how each one comes together in Centerprise

  • How agents design at design time while approved logic runs deterministically in production

  • A step-by-step example, from a plain-language requirement to a scheduled, governed data mart

What’s Inside

  • Agents Need a Whole Stack, Not Just a Model: why the platform around the model determines what agents can deliver

  • The Stack at a Glance: nine components, from data connectivity to monitoring, and how agents are built from them

  • Component by Component: what each layer does and how Centerprise delivers it

  • One Agentic Layer Across the Data Stack: what the agent does in warehousing, modeling, integration, transformation and analytics

  • From Request to Production: an eight-step worked example of a sales performance data mart

  • Governance, Trust and Openness: how consistency, oversight, access control, traceability and openness are built into the platform

Who It’s For

Written for data and technology leaders deciding how AI agents will work with their company’s data, including CIOs, CTOs, chief data officers, heads of data engineering and data architects. If you are planning your agentic AI strategy, evaluating platforms or preparing a first production use case, this is for you.

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