AWS Enterprise Support
AI Implementations & Use Cases
Hyperscaler mix
Filter AWS Enterprise Support's implementations by Microsoft, AWS, or GCP provider evidence.
Reported outcomes
4 cases report measurable results
−27.5%
Time & speed
median · 6 metrics
+100%
Risk, reliability & safety
median · 1 metric
−35%
Cost savings
median · 1 metric
Medians of results published in AWS Enterprise Support cases, normalized for comparability. See all benchmarks →
All Use Cases (4)
Halodoc adopts Amazon Bedrock for AI and boosts claims/uptime with AWS (via Amazon EKS/EC2)
Halodoc is an Indonesian digital healthcare platform working to improve healthcare access across Indonesia's 17,000 islands.The company partnered with AWS Enterprise Support to accelerate its cloud transformation, improve reliability, strengthen security, and introduce AI-driven capabilities with Amazon Bedrock.
Building an AI HR assistant using Amazon Bedrock with Personio
HR tech company Personio built an AI-powered assistant on Amazon Bedrock to automate requests and improve workflows.The assistant is embedded in Personio's product and uses Amazon Bedrock Knowledge Bases to connect to additional knowledge sources.
Bosch Mobility Platform & Solutions builds L.OS and plans AI-driven logistics experiences with AWS
Bosch Mobility Platform & Solutions, a division of Bosch, built the Logistics Operating System (L.OS) with AWS to digitize fragmented trucking and logistics workflows, enable automation across providers, and support sustainability goals.The platform uses an AWS landing zone based on AWS Control Tower, integrated regionally, and the company also built RevX on AWS using Amazon API Gateway and Amazon ECS to unify load-board data for fleet dispatchers. A chatbot POC is planned using Amazon Bedrock and Amazon Q.
Skai (Kenshoo) builds Celeste AI agent on Amazon Bedrock Agents to cut report generation time and improve campaign insights
Skai (formerly Kenshoo) is an AI-driven omnichannel advertising and analytics platform for brands and agencies. It unifies data from more than 100 publishers and retail networks to support media planning, optimization, and measurement.Skai built Celeste, a generative AI analytics agent that lets users ask natural-language questions across profiles, campaigns, ads, products, keywords, and search terms, then synthesizes the results into insights, recommendations, and ready-to-present materials.