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How to Build an AI Support Agent That Actually Resolves Tickets

DEV Community·Sunil Kumar·26 days ago
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#signal#ai#agent#escalation#answer#confidence
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Technical post for engineers building or evaluating AI customer support systems. The difference between an AI agent that resolves tickets and one that just triages them is almost entirely in the training data and escalation architecture. Disclosure: I work at Ailoitte , which builds custom AI support agents deployed in Zendesk, Intercom, and Freshdesk. Sharing what the implementation actually looks like. What's the actual technical difference between an AI support agent and a chatbot? A scripted chatbot follows decision trees. It can answer questions it was explicitly programmed for and routes everything else to a human. Maintenance is manual — every new question requires a developer update. An AI support agent uses RAG (retrieval-augmented generation) against your actual knowledge base. It retrieves relevant documentation, synthesises an answer in natural language, and generates a response the user can act on. New documentation automatically expands what it can answer. No manual programming per question.…

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