Case Study: Humanitarian Organization Leverages AI to Enhance Data Insights and Boost Resource Efficiency

About The Client

An international humanitarian aid organization.

Background and Challenge

As a dynamic organization working around the globe—often responding to various crises—this client faced difficulties in identifying qualitative trends across its historical projects. It needed a solution that could holistically analyze its past engagements, highlight core themes and issues beyond quantitative data and provide relevant data insights to improve future projects.

The Solution

Withum partnered with the client to develop a data ingestion pipeline connected to an AI-powered interface. This system enabled seamless collection, organization and integration of the client’s data with a Large Language Model (LLM). Integrated within their Microsoft Suite, the AI tool allowed users to ask questions and receive comprehensive insights based on the organization’s entire past performance document repository.

To ensure reliable responses when data spanned multiple documents, we incorporated abstractive summarization techniques into our process, which allowed the system to understand documents in context with each other. We also mitigated risks of AI hallucinations by utilizing a customized Retrieval-Augmented Generation (RAG) structure, which helped to enforce accuracy and build user trust.

The Benefits and Results

The implementation of the AI tool transformed the organization’s approach to qualitative analysis of its past performance, providing significant advantages, including:

1. Increased Efficiency: What previously required many human hours to analyze was now achieved in a fraction of that time.
2. Actionable Insights: The AI tool delivered comprehensive insights, enabling the client to identify trends and learn from common failures and successes, allowing them to make more informed decisions for future engagements.
3. Resource Optimization: By identifying patterns and areas for improvement, the organization could better allocate resources, maximizing their impact during future crises.

By leveraging AI technology, the organization gained valuable insights and efficiencies, empowering them to respond more effectively to global crises and improve the overall impact of their humanitarian efforts.