The challenge
A legacy, on-premises matching solution struggled with noisy, multilingual data, limited scalability, and heavy manual intervention, slowing operations and hindering cloud transformation.
Non-profit • Azure AI
Azure AI
AI-Driven Modernisation of Legacy Content Matching
Delivered a cloud-native solution using RAG and semantic search on Microsoft Azure to modernise a legacy matching engine and improve accuracy and scalability.
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The approach
Implemented an Azure-based RAG architecture with semantic indexing and vector search, and evaluated AI-driven matching against the existing search baseline.
The outcome
Demonstrated more accurate and explainable matching with reduced manual effort, validating a scalable, AI-ready architecture for future production use.
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