The Problem

In the mining industry, decision-making at the executive level often demands timely and accurate insights derived from vast amounts of data. Traditionally, executives relied on data analysts or other relevant roles to generate, prepare, and present reports. While this approach ensured reliable insights, it came at the cost of valuable time and resources. Reports often required three business days to complete, involving multiple personnel who could better allocate their efforts toward revenue-generating tasks or strategic initiatives rather than administrative processes. The industry needed a transformative solution to streamline this interaction with data while maintaining precision and efficacy.

The Solution

Radya Labs, a cloud-native and AI solution partner specializing in Microsoft technologies, was approached to design and develop a cutting-edge prototype leveraging Large Language Model (LLM) solutions and agentic techniques. The AI-driven agent was envisioned as a "data analyst as a service," capable of delivering actionable insights from two primary data sources: internal company documents and structured data stored in SQL Server.

Radya Labs utilized Python and the .NET framework to build the prototype, ensuring seamless integration with the industry's existing systems. To enhance the application's accuracy and reliability, Radya Labs employed a Retrieval-Augmented Generation (RAG) technique, incorporating embedding and vector databases for robust data processing. The web-based application was developed over 1.5 months and powered by Azure OpenAI—a state-of-the-art solution from Microsoft Azure. This innovative approach effectively balanced rapid insight generation with comprehensive testing and operational compatibility.

The Result

The mining industry client expressed great satisfaction with the prototype, leading to its progression toward full production deployment. The AI-driven agent demonstrated a transformative impact, reducing the time required to generate actionable insights from three business days to a mere three minutes. Moreover, the accuracy of the insights remained impeccable, avoiding any hallucinations, thanks to thorough testing with diverse data variations conducted in collaboration with the client's team.

Beyond productivity gains, the development of this agentic AI solution inspired a culture of innovation within the client's IT team. By building and deploying an actual Agentic App, the team explored new possibilities for leveraging AI to enhance operational efficiency and strategic decision-making. Radya Labs is committed to supporting the client in developing tailored AI solutions that not only drive productivity but also foster an innovation-driven corporate environment.

This case exemplifies Radya Labs' dedication to delivering transformative AI-driven solutions that empower enterprises to excel in their industries while embracing the future of technology.

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