Amazon· Bedrock / Nova

Automating customer retention workflows in Amazon Quick

can turn a five-day churn-response cycle into one that takes minutes. Last quarter, a mid-size SaaS company lost 12% of its at-risk accounts because the retention team took five days to identify and contact dissatisfied customers. By the time someone manually reviewed CSAT spreadsheets and call transcripts, those customers had already churned. Amazon Quick shortens that response window from days to minutes. This post walks through building an automated retention pipeline in Amazon Quick. The pipeline detects dissatisfied customers from structured data. It analyzes sentiment from call transcripts and scores customers by retention priority. It then generates retention offers tailored to each situation. In this post, you learn how to: Configure a Quick Space with contact center datasets and call transcripts. Create and register a custom MCP Action for customer scoring. Build a Chat Agent that combines quantitative key performance indicators (KPIs) with qualitative transcript analysis. Convert the analysis into a reusable Quick Flow. Orchestrate the full pipeline with Amazon Quick Automate. Solution overview …

Announced

29 Jul 2026 15:24 UTC