You added an LLM-powered assistant into an existing customer service workflow. It reads knowledge base content, drafts responses, and can call internal tools to look up account context or create follow-up tasks. The hard part was not getting a demo to work, it was fitting the system into real production constraints, existing APIs, and human review paths.
Describe a project where you integrated an AI solution into an existing system. What did you build, what integration challenges came up, how did you evaluate quality and safety, and what outcomes did you see after launch?
You added an LLM-powered assistant into an existing customer service workflow. It reads knowledge base content, drafts responses, and can call internal tools to look up account context or create follow-up tasks. The hard part was not getting a demo to work, it was fitting the system into real production constraints, existing APIs, and human review paths.
Describe a project where you integrated an AI solution into an existing system. What did you build, what integration challenges came up, how did you evaluate quality and safety, and what outcomes did you see after launch?
