All case studies
    Knowledge Management

    Knowledge bot for service and field teams at BrühHaus

    Client: BrühHaus

    A RAG-powered Teams bot answers questions from SharePoint documentation inside existing workflows – with source citations, no new logins.

    < 60 Sek

    field response time

    0

    new logins required

    1

    single source of truth (SharePoint)

    The problem

    Knowledge silos and back-and-forth communication slow down field operations. Service technicians must call colleagues or search document folders for every unknown problem – a time loss that directly impacts customer satisfaction.

    Solution

    Knowledge documents from SharePoint are structured and made accessible via a Teams bot. Employees ask questions directly in the Teams chat and receive accurate answers with source citations within seconds – without leaving their familiar work environment.

    The BrühAssistent in Microsoft Teams answers a service question and cites the repair documentation.

    Results

    • Faster answers in service operations without escalations to central teams
    • Fewer escalations and waiting times in field operations
    • Seamless integration into Microsoft Teams without new app installation
    • Funding may be available depending on programme and region

    Technology

    Microsoft TeamsSharePointAzure OpenAIMicrosoft Entra ID

    Running costs

    The Teams knowledge bot runs inside the customer's own tenant. This means infrastructure, data, and AI usage remain entirely within the company's existing Microsoft and Azure environment.

    Direct technical operating costs stay manageable. Azure infrastructure typically amounts to around €30 per month. Usage-based costs for AI queries were approximately €10 per month during the pilot with 10 users.

    No additional hosting or platform fees are charged by Hoch-AI. Ongoing operations can be supplemented with a separate support package if needed, covering technical support, quality assurance, minor adjustments, solution monitoring, and regular check-ins.

    Further development after the pilot is handled separately. New features, additional data sources, more user groups, or integrations with existing systems are scoped together and then implemented. This keeps technical operating costs transparent while allowing larger expansion stages to be decided and budgeted deliberately.

    Related

    Your next step

    What would you like to improve with AI?

    Tell us where you stand and what you want to achieve. Together, we will work out which kind of support fits your needs.

    Send a message

    How can we help you?

    * Required fields

    When you submit, your details are processed to handle your enquiry. Details, including the form service we use, are in the privacy policy. Privacy information

    What happens next

    1. You briefly describe your situation.
    2. You will receive a personal reply within two days.
    3. In the free, no-obligation introductory call, we usually take 30 minutes for your situation and possible next steps.

    Your contact: Nicolas Hoch, founder of Hoch-AI

    Prefer to book a call directly?

    Pick a free slot directly in the calendar, no enquiry needed.

    Book a free introductory call

    Or email us directly:nicolas@hoch-ai.com