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CASE STUDY
Building the AWS Foundation for GenAI-Ready Learning
A multi-campus university needed a secure, scalable AWS platform for its Advanced Manufacturing Scale-Up Program. We built the cloud foundation, application platform, and governance layer from zero, cutting environment provisioning by 85% and deployment time by 75%.
CASE STUDY
Governed AWS CloudOps for Self-Service Analytics
Manual cloud operations caused configuration drift and limited compliance visibility, while reporting relied on manual queries. We built a governed AWS platform with automated delivery and self-service analytics, cutting provisioning time by 85% and deployments by 80%.
CASE STUDY
Governed Data & GenAI for Faster Product Insights
Manual analysis and fragmented reporting slowed product intelligence. We built a governed AWS data foundation with Redshift Serverless and Bedrock, cutting manual analysis effort by ~70% and adding conversational, automated insights.
CASE STUDY
Healthcare CloudOps for Secure, Reliable Delivery
Manual provisioning and fragmented monitoring created governance gaps and downtime risk. We applied an AWS CloudOps framework that cut incident response by 85%, deployment time by 80%, and cloud costs by 12–15%.
CASE STUDY
AWS-Powered Logistics Intelligence
Legacy systems, manual reporting, and fragmented data limited visibility across logistics operations. We built a governed AWS foundation across cloud, data, and application layers, cutting infrastructure provisioning time by 85% and raising platform availability to 99.9%.
CASE STUDY
AI-Ready Data Platform for Automotive Retail
Disconnected dealership systems limited reporting, data visibility, and governance across the business. We built a governed AWS data foundation with automated pipelines and Amazon Bedrock, cutting time to insight by 70% and manual reporting effort by 50%.
