Category: Learning Levels

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 […]

If you are running outbound campaigns or making manual outbound calls, agent time can be occupied leaving standard or customised messages on calls answered by voicemail systems. This presents two challenges that impact contact center operations: Loss in Agent Productivity – when agents must wait for voicemail systems to complete their greetings and manually leave […]

Capita is a leading provider of customer experience services for UK public sector organizations and the UK’s first AI enabled Business Process Outsourcer (BPO). Every year, Capita helps a large local council support contacts from 1.6 million residents seeking support for essential services, such as highway maintenance to social care and waste management. The limitations […]

Introduction  Contact center leaders face an increasingly complex challenge: customers expect instant, personalized service across every channel, while human agents juggle multiple systems, knowledge bases, and workflows to resolve issues. Traditional approaches – building custom integrations for each system, training agents on dozens of applications, and manually updating customer records – are time-consuming, expensive, and […]

Introduction Contact center operations teams often face delays when making routine changes, as traditional approaches require developer assistance and code modifications. Amazon Connect data tables addresses this challenge by enabling administrators to manage operational data through a no-code interface, improving agility and reducing time-to-implementation for common tasks. In this blog post, readers will learn how […]

Toyota Insurance Management Solutions (Toyota Insurance) is a technology-driven insurance agency serving predominantly Toyota vehicle owners across North America. As a forward-thinking organization, Toyota Insurance continuously seeks innovative ways to enhance customer experience while maintaining operational efficiency. Back in February 2025, Toyota Insurance faced a critical decision: their SaaS-based web chat solution for Toyota Auto […]

Introduction Contact center administrators face a persistent challenge: efficiently testing and validating contact flows without disrupting live operations. Traditional approaches—manually calling systems, building custom validation tools, or investing in third-party solutions—are time-consuming and expensive. Large enterprises often allocate significant annual budgets to automated testing tools alone, while manual validation can require days or weeks of […]

At the core of Amazon Connect, the AI-powered customer experience solution from AWS, are flows and modules – flows define the customer journey, while modules serve as reusable building blocks that streamline operations. Today, we’re announcing three new capabilities that make flows and modules more powerful, flexible, and maintainable than ever before. These enhancements address […]

Introduction: The evolving landscape of customer experience Whether booking a flight, checking a bank balance, or chatting with a retail brand’s support bot, today’s customers expect every interaction to be fast, error-free, and available on demand, without hiccups. Even a single delay, defect, or outage can send them away in search of a competitor who […]