Case Study: Big Brothers Big Sisters of Puget Sound improves mentor matching with KPMG’s AI solution

Big Brothers Big Sisters of Puget Sound cuts mentor matching from 200 days to minutes with KPMG

The customer, Big Brothers Big Sisters of Puget Sound, faced a significant challenge with its manual, time-consuming process for matching mentors with mentees. This inefficient system relied on staff memory and intuition, leading to an average matching time of over 200 days and a persistent waitlist of at least 500 children. To address this, the nonprofit partnered with vendor KPMG to find a technological solution.

KPMG developed and implemented AIMRE (AI Match Recommendation Engine) on the Microsoft Fabric platform. This AI-powered solution analyzes a decade of application data to provide data-driven match recommendations, reducing the matching process from months to minutes. The results included a dramatic reduction in administrative burden, improved match success rates, and increased capacity, allowing the organization to support over 1,000 active mentoring relationships without adding staff.

Big Brothers Big Sisters of Puget Sound