The client and the challenge
With cloud usage growing rapidly and a broad catalogue of infrastructure products, ordering cloud resources required manually authoring complex configuration files across five or more disconnected systems. This demanded deep cloud-native expertise, while the relevant documentation was scattered across multiple internal knowledge bases — resulting in long lead times, frequent misconfigurations, and a heavy support load on the platform teams.
The solution
TRUSTEQ designed and delivered a production multi-agent system built on Anthropic's Claude models. A supervisor agent interprets each request in natural language and routes it to specialized agents for recommendation, configuration, knowledge retrieval (Q&A), dependency checking, and validation. A Retrieval-Augmented Generation (RAG) layer consolidates the previously fragmented documentation, so users receive precise, context-aware answers within a guided, self-service ordering workflow — turning a highly technical task into a simple conversation.TRUSTEQ owned the engagement end-to-end: requirements analysis, solution architecture, development and integration, go-live, and enablement of the business teams via a co-creation approach.
