Provide a managed service that extracts recurring questions and approved answers from support history, interviews the support team about undocumented exceptions, and builds a structured answer library. The service then tests the brand's existing chatbot against real questions, configures escalation rules, and reviews failed conversations each month. The initial business sells implementation and ongoing knowledge operations rather than another standalone chatbot.

Customers increasingly expect conversational support to perform like general-purpose AI, while brands are discovering that successful deployments require continuous knowledge maintenance rather than a one-time installation. Growing chatbot adoption creates an immediate need for the operational layer between raw support data and dependable answers.