Case Study

    AI that works where people already work

    Instead of exposing AI as a separate tool, Core Purpose Tech integrated language models directly into operational workflows inside Min Beboer Parkering. Users get contextual AI assistance in the case interface while model infrastructure and governance are managed through one LLM gateway.

    Operational AIIn-app assistanceWorkflow automationLLM gateway
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    Operational Context

    AI support embedded directly in municipal case handling

    The challenge was not adding another chatbot. The challenge was helping case workers make better and faster decisions inside Min Beboer Parkering where real requests are processed.

    Case Evaluation

    Review parking requests with all relevant citizen and address context in one flow.

    Documentation Review

    Identify missing or inconsistent documentation before decisions are finalized.

    Rule Interpretation

    Apply municipal policies consistently while preserving professional judgment.

    Operational Support

    Keep AI inside existing workflows instead of forcing users into separate tools.

    Architecture

    One gateway between operations and AI infrastructure

    Min Beboer Parkering calls one internal AI interface. The LLM gateway handles routing, governance, and model abstraction so municipal teams can improve case workflows without coupling the app to any single provider.

    Min Beboer Parkering

    Operational case management interface

    LLM GatewayRouting + Governance Layer

    Local Models

    Sensitive municipal workloads

    Approved External Models

    Elastic capability when needed

    Specialized Services

    Task-specific reasoning routes

    Step 1 of 5 - Case Opened

    A municipal case worker reviews a parking request with address and documentation context.

    Min Beboer Parkering
    Governed
    Case Request

    Address: Vesterbro 14, Copenhagen

    Applicant: Resident permit renewal

    Uploaded: Lease contract, vehicle registration

    Outcome

    Operational AI becomes part of day-to-day case execution

    Teams keep using their existing systems, but with contextual AI support available exactly where case work happens. The gateway keeps control centralized while improving speed and confidence in decisions.

    Faster case evaluation in municipal workflows

    Improved decision support for operational staff

    Reduced manual reading of case documentation

    Stronger governance through centralized LLM gateway controls

    Case Trilogy

    1

    Knowledge AI

    Secure document retrieval and RAG systems.

    2

    Sovereign AI

    LLM gateway architecture with local and external models.

    3

    Operational AI

    AI embedded into real applications such as Min Beboer Parkering.

    Referenced operational case
    Residential SaaSPrivate Parking Management

    Min Beboer Parkering

    Read the full product and business case behind the operational setup, including roles, workflows, and measurable value for residential property organizations.

    Explore Min Beboer Parkering case

    Interested in how this approach could work for your organization?

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