NimbusChat AI Support Assistant

Nimbus SaaS was overwhelmed by repetitive support tickets, many of them questions that were already answered in the product documentation or in the resolution of past tickets, yet still required a support agent to search for and repeat the answer each time. They wanted a way to deflect these routine queries without sacrificing the quality of answers customers received.

Techomaxx built a retrieval-augmented AI assistant grounded specifically in Nimbus's own product documentation and historical ticket resolutions, rather than relying on general-purpose knowledge that could produce inaccurate answers about their specific product. The assistant retrieved the most relevant documentation or past resolution for each incoming query before generating a response, and was designed to recognise when a query fell outside what it could confidently answer, escalating those cases automatically to a human agent.

By grounding responses in Nimbus's actual documentation and ticket history rather than general knowledge, the assistant was able to deflect a large share of routine, repetitive queries before they ever reached a human agent, while still escalating complex or ambiguous cases so customers with genuine edge cases were not left with an unhelpful automated answer.

This project reflects the AI development work Techomaxx does: building retrieval-augmented support assistants grounded in a company's own documentation and ticket history, with automatic escalation for cases outside the assistant's confidence.