Project overview

Customer: Full-service IT and personnel service provider for the public sector

Candidate Matching Assistant Schema

Solution details

  • Technologies

    Microsoft Azure:

    • Azure Web Apps
    • Azure OpenAI
    • Azure AI Document Intelligence
    • Azure PostgreSQL
    • Azure Cosmos DB

    Frameworks:

    • .NET 8
    • Semantic Kernel
    • Kernel Memory
  • Approach: Agile implementation with Scrum, 2-week sprints
  • Special challenges: Particular challenges arose in processing customer inquiries and candidate profiles with different formatting, as well as in ranking profiles based on the skills requested.

Results & benefits

  • Measurable success:

    • 72% time savings in inquiry qualification
    • 58% higher output through automation
    • 82% faster quote generation
  • Customer benefits:

    • Greater efficiency in offer qualification and candidate matching
    • Increased customer satisfaction through more qualified offers
    • Increased employee satisfaction by relieving them of monotonous tasks
    • Increased candidate satisfaction through more qualified project offers
  • Long-term impact: Complete digitalization of the candidate matching process and expansion of the existing candidate CRM system with intelligent, AI-supported functions.

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