Fortune 100
Discover 2 AI Use Cases & Implementations from Fortune 100
Hyperscaler mix
See whether Fortune 100's cases are powered by Microsoft, AWS, GCP, or multiple providers.
Reported outcomes
2 cases report measurable results
−40%
Time & speed
median · 1 metric
+60%
Productivity & throughput
median · 1 metric
Medians of results published in Fortune 100 cases, normalized for comparability. See all benchmarks →
Technology snapshot
What Fortune 100 uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
- Top use case
- Agent
- Tagged cases
- 1/2
- Tech names
- 15
Capability mix
All Use Cases (2)
rSTAR AI Transformation and Agentic AI Systems for Asset-Intensive Industries
rSTAR Technologies delivers intelligent, enterprise-grade solutions across the Microsoft ecosystem, integrating Azure, Dynamics 365, Entra ID, Key Vault, and Copilot to accelerate innovation in AI, customer experience, cybersecurity, and IT modernization.rSTAR empowers organizations to unlock new value, streamline operations, and scale transformation through Microsoft technologies.They provide AI-powered chatbots and virtual assistants that reduce call volumes, automated email response systems, on-screen AI feedback tools, and centralized knowledge bases to improve customer service.Their Agentic AI systems automate workflows across platforms such as ServiceNow, Oracle CC&B, and SAP, built on Azure AI Foundry with multi-agent architectures designed for regulated industries.The solutions integrate ERP, CRM, and legacy systems using Azure services enabling seamless data flow and operational efficiency.
Fortune 100 Insurance Provider Improves Customer Service with AWS Contact Center AI
A Fortune 100 multi-line insurance provider faced challenges in customer service with long hold times and manual processes, leading to negative customer experiences.PwC implemented an omnichannel cloud contact center using AWS AI services including Amazon Connect, Amazon Lex, Amazon Transcribe, Amazon DynamoDB, AWS Lambda, and Amazon SageMaker to enable seamless voice and digital customer experiences.The solution leveraged AI for intent detection, bot orchestration, a customized agent workspace, conversational analytics, and real-time conversation monitoring by managers.The deployment resulted in 70% call deflection from traditional call centers and a 60% increase in agent call handling capacity, improving operational efficiency and customer satisfaction.