Case Study: Hewlett Packard Enterprise achieves faster resolution and fewer errors with Loop AI Group Cognitive Computing

A Loop AI Group Cognitive Computing Case Study

Preview of the Hewlett Packard Enterprise Case Study

Hewlett Packard Enterprise - Customer Case Study

Hewlett Packard Enterprise, a leading financial services company operating in insurance and banking, wanted to level the expertise of its back-office workforce and improve how agents handled inbound requests. Loop AI Group Cognitive Computing addressed the challenge with its Loop Q cognitive platform, designed to extract, rank, and suggest answers based on historical cases and dark data.

Loop AI Group Cognitive Computing implemented a cognitive solution using historical questions, answers, compliance logs, and audit logs to provide automated suggestions and recommendations to agents. The result was an 11% improvement in average resolution time and a 7% reduction in errors, while also protecting legacy system investments and making onboarding faster and cheaper.


Open case study document...

Loop AI Group Cognitive Computing

7 Case Studies