How We Cut Support Resolution Time 63% with an AI Copilot

Overview Northwind Cloud, a mid-market SaaS company, was fielding roughly 4,200 support tickets a month across email and live chat. Their eight-person team spent most of each day writing near-identical answers and hunting through scattered documentation. Response quality was inconsistent, and first-response times had crept past nine hours. VanceIQ partnered with them to design and ship an AI support copilot that drafts grounded, on-brand replies from their own knowledge base — keeping a human firmly in the loop. The challenge Off-the-shelf chatbots had already failed them once. The bots hallucinated features that didn't exist, couldn't cite where an answer came from, and had no access to the company's private runbooks. Agents didn't trust them, so the tool went unused. The real constraints were clear: answers had to be traceable to a source document, the system could not invent product behavior, and agents needed to stay in control of what actually got sent to a customer. The solution We built a retrieval-augmented generation (RAG) pipeline. Support docs, past resolved tickets, and release notes are chunked, embedded, and indexed in a vector store. When a new ticket arrives, the copilot retrieves the most relevant passages and drafts a reply that quotes and links its sources. Crucially, nothing sends automatically. The draft appears inside the agent's existing helpdesk with citations attached; the agent edits, approves, or discards it. Every edit is logged and feeds a weekly evaluation loop that measures answer accuracy and flags gaps in the knowledge base. The copilot drafts a grounded reply with citations; the agent stays in control. Results 63% faster average resolution time (9.1 hrs → 3.4 hrs) 41% of replies sent with only minor edits to the AI draft Zero unsourced claims — every answer links to a source document Knowledge-base gaps surfaced weekly, cutting repeat questions by 28% Onboarding time for new agents dropped from 3 weeks to 8 days Grounding beats cleverness. The single biggest quality jump came from forcing every answer to cite a source — not from a bigger model. Priya N., Head of Support, Northwind Cloud Does the AI send replies automatically? No. It only drafts; a human agent reviews and approves every message. How does it avoid making things up? Answers are generated only from retrieved source documents and must cite them, so unsupported claims are filtered out.