Case Study: a leading U.S. university boosts research platform adoption and cuts cloud costs with Relevance Lab’s AI-powered Research Assistant

a leading U.S. university cuts onboarding from days to hours with Relevance Lab

A leading U.S. university faced challenges with adoption of its Research Gateway platform, as researchers struggled with the complexity of selecting cloud infrastructure and understanding costs. This created operational bottlenecks and delayed research projects. To address this, the university worked with vendor Relevance Lab to implement an AI-powered Research Assistant.

Relevance Lab's solution used Amazon Bedrock to create a conversational AI advisor that recommends instance types, estimates costs, and automates provisioning. This resulted in onboarding time dropping from days to hours and a over 50% reduction in routine support requests. The university also achieved a 10-15% reduction in cloud costs through right-sizing and saved an estimated 1,000+ administrator hours annually.