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.

This improves speed and consistency without disrupting existing workflows.

In-workflow AI assistanceCentralized LLM gateway integrationGovernance-aligned model routingOperational decision support at point of work
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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
Explore Min Beboer Parkering case: 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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