Case Study: Scholastic achieves faster, more efficient cloud operations with Relevance Lab's RLCatalyst

A Relevance Lab Case Study

Preview of the Us Based American Multinational Publishing, Education and Media Company Case Study

Intelligent BOTs Powered Cloud Operations Automation

The American multinational publishing, education, and media company Scholastic partnered with Relevance Lab to support a major cloud adoption and digital transformation initiative. The customer’s challenges included manual and error-prone user and cloud asset onboarding/offboarding, limited end-user computing lifecycle management, AWS resource governance issues, and a lack of self-service capabilities integrated with ITSM.

Relevance Lab implemented its RLCatalyst Intelligent Automation solution, deployed on AWS and integrated with ServiceNow, to automate user tasks, workflows, and more complex governance and compliance use cases. The results included a 60% reduction in infrastructure CAPEX, 23% better asset utilization, single-click environment provisioning, 30% faster product release cycles, and 40% lower costs for legacy application assessment and migration, while also improving productivity and freeing IT teams for higher-value work.


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