AWS Contact Center

Authentication during chat is a balancing act: require it too early and you lose customers who need quick answers; skip it entirely and you face compliance challenges when conversations shift to account-specific topics. When customers start a chat in Amazon Connect Customer, they might begin with a simple question but then need account-specific assistance that […]

What you will learn: How Amazon Connect’s enhanced module nesting (up to five levels deep) and universal cross-flow compatibility enable you to build maintainable, reusable contact center workflows, illustrated through a real-world travel booking reservation use case. Introduction In November 2025, we announced three powerful new capabilities for Amazon Connect flow modules: custom blocks with […]

Your Amazon Connect contact center is running at 92% of its concurrent call capacity, and no service quota monitor is watching. The dashboard shows green. Agents are handling calls. Then one more call comes in, and the next 50 callers receive no response. Amazon Connect enforces quotas on more than 300 resource types and API […]

In a modern contact center, a customer is three sentences into explaining why her shipment never showed up. The agent, twelve hundred miles away in a spare bedroom that doubles as a home office, catches maybe half of it. Not because she’s a bad listener. Because the neighbor’s dog has strong opinions about the mail […]

When using Amazon Connect Outbound Campaigns with answering machine detection (AMD), contact center managers often perceive long silence periods before customers connect to agents. This perception frequently stems from measuring agent connection time incorrectly starting the timer from when the call enters the system rather than from when the customer finishes speaking. By anchoring your […]

Learn how to build an automated evaluation pipeline for Amazon Connect AI Agents using DeepEval and Amazon Bedrock to meet Model Risk Management requirements. When you deploy an Amazon Connect Customer AI Agent that manages account operations and routes service requests, it becomes a model subject to formal governance. Before deploying any model that influences […]

Only about 5% of AI initiatives successfully ship to production at scale. At Amazon, we’ve learned firsthand what separates that 5% from the rest. In this post, we share a tactical playbook for moving your AI pilot into production while keeping your customer and agent experience completely intact. Many organizations excel at launching initial artificial […]

Every day, Amazon Customer Service handles millions of customer contacts across Amazon and its subsidiaries, spanning multiple regions including North America, Europe, South Africa, and Asia Pacific. Managing contact flows at this scale across multiple Amazon Connect instances to accommodate Retail and Amazon subsidiaries required a scalable, programmatic approach. The team set out to maintain […]

Introduction The Multilingual Support Challenge In today’s global marketplace, contact centers face a critical challenge: providing exceptional customer service across multiple languages and dialects. Traditional approaches require hiring multilingual agents or creating language-specific queues, leading to: High Operational Costs: Recruiting and training multilingual agents is expensive and time-consuming Limited Scalability: Difficult to support new languages […]

Introduction The Amazon Connect Customer data lake gives contact centers a central, zero-extract, transform, and load (zero-ETL) location to query contact records, agent performance, conversational analytics, and other data types. However, enabling access requires navigating multiple AWS consoles to associate datasets, accept AWS Resource Access Manager resource shares, configure Lake Formation permissions, and create resource link tables using AWS […]