The system boosted report generation efficiency, achieving 98% recall in retrieving insights. It provides structured recommendations, auto-generates report entries, and reduces manual effort, ensuring consistency.
Meet our client
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Client’s Challenge
Our client needed a faster, more efficient way to retrieve historical report data and generate new reports. Their manual process was slow and labor-intensive, requiring a solution to enhance accuracy, speed, and compliance.
Our Solution
In 8 weeks, we built an AI-driven report retrieval and generation system powered by ragbits, our own GenAI framework. It provided core components for vector search, retrieval optimization, and evaluation, integrating seamlessly with a Python backend, Qdrant, and Azure OpenAI. The solution was deployed via a Microsoft Word Add-in for reporting and a Web UI for broader access.
Client’s Benefits
The system boosted report generation efficiency, achieving 98% recall in retrieving insights. It provides structured recommendations, auto-generates report entries, and reduces manual effort, ensuring consistency. The streamlined workflow accelerates decisions and supports scaling AI-driven reporting.
