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    Pillar · DATA FOUNDATION & GOVERNANCEFIG. F1

    The data foundation under your agents

    Agents are only as good as the data they can reach. Which data foundation do you need, how do you build it in Microsoft Fabric, Google BigQuery, Snowflake or Databricks, and how does the agent layer talk to structured and unstructured sources? The Automation Group helps with exactly that.

    Data foundation & Governance
    What it takes

    One foundation, two kinds of data.

    Structured data in your data platform and unstructured knowledge in documents, email and SharePoint both need to be safely reachable for agents.

    01N° 01

    Data platform

    We work with what you have or choose: Microsoft Fabric, Google BigQuery, Snowflake or Databricks.

    02N° 02

    Structured sources

    Agents query tables and metrics through governed, documented interfaces rather than direct database access.

    03N° 03

    Unstructured sources

    Documents and knowledge opened up via RAG, with citations and the permissions of the original source.

    04N° 04

    The connection

    MCP servers and APIs as a clean bridge between data platform and agent layer, with rights recorded per agent.

    Approach

    Foundation first, then the agent.

    1. 01

      Map the data landscape

      Which sources exist, who owns them and what is their quality?

    2. 02

      Target architecture

      Which platform, which layers and which interfaces for agents.

    3. 03

      Build in-house

      In your own tenant or cloud, together with your data and IT team.

    4. 04

      Connect agents

      The first agents on the foundation, with rights from the agent passport.

    Frequently asked questions

    The data foundation under your agents

    Do we need a data platform before building agents?+
    Not always. The Automation Group looks at which use case can start with current data and which foundation is needed to scale further.
    Which platforms do you work with?+
    Including Microsoft Fabric, Google BigQuery, Snowflake and Databricks. We choose what fits your existing landscape.
    How do you prevent agents from seeing too much data?+
    The Automation Group records per agent which sources and operations are allowed and ties into existing access management.
    · Data foundation & Governance

    Is your data ready for agents?

    Together we assess your data landscape and the first step towards an agent-ready foundation.