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    Pillar · BUILD & INTEGRATIONFIG. MF

    Microsoft Foundry

    Build AI applications beyond a standard assistant. The Automation Group helps you with Microsoft Foundry: from model selection and business data to AI Agents, integration, evaluation and operations in your Azure environment.

    Build & integration
    Applications

    A development platform for your own AI applications.

    Microsoft Foundry brings together models, development tools and evaluation and management capabilities. It serves teams building their own AI applications. We connect the platform to your processes and assess which services, models and configuration each application needs.

    01N° 01

    Knowledge assistants with business data

    AI Agents that ground answers in selected documents and knowledge sources. We build retrieval and citations and test whether access restrictions and answers work in practice.

    02N° 02

    Document & information processing

    Summarise documents, extract information and prepare inputs for downstream processes. We implement validation and human review where errors could have consequences.

    03N° 03

    Process-focused AI Agents

    AI Agents that call tools and APIs for bounded tasks in support or operations. We build orchestration, authorisation, error handling and handoff to a person.

    04N° 04

    Model comparison & quality evaluation

    Test available models on representative examples from your work. Assess answer quality, latency, consumption and risks rather than choosing one model for every task.

    How we help

    From use case to a manageable application.

    1. 01

      Scope & architecture

      Define the task, sources, users and acceptance criteria. With IT, assess model availability, region, identity, networking and data processing.

    2. 02

      Build & connect

      Our Agentic Engineers build a bounded pilot, connect sources and systems and restrict permitted actions for each AI Agent.

    3. 03

      Evaluate & roll out with control

      Test normal cases, exceptions and unwanted output. Put logging, monitoring and human approval in place before wider deployment.

    4. 04

      AI Upskilling & operations

      Train developers and operators on the chosen configuration. Documentation, test sets, ownership and a review rhythm support handover to your team.

    Frequently asked questions

    Microsoft Foundry

    What is Microsoft Foundry?+
    A Microsoft platform for developing, evaluating and managing AI applications and AI Agents. It provides access to models and development capabilities; availability varies by service, model and region.
    When would you choose Foundry over Copilot Studio?+
    Copilot Studio often fits rapid configuration with existing connectors. Foundry is relevant when you need more control over code, model selection, orchestration and evaluation. We can combine them when the architecture calls for it.
    Must all our data already be in Azure?+
    Not necessarily. We assess how existing sources can be made accessible through suitable interfaces and which requirements apply to identity, networking, storage and data processing.
    Can our developers manage it afterwards?+
    That is part of the approach. We agree responsibilities and hand over code, configuration, documentation and test sets, with targeted training for developers and operators.
    · Build & integration

    From AI experiment to an application in your process.

    Discuss your use case and Azure landscape with an Agentic Engineer. Together we assess whether Microsoft Foundry fits and what a first pilot needs to demonstrate.