Category: Amazon Machine Learning

Introduction Financial services institutions (FSIs) operate contact centers that serve diverse lines of business, including retail banking, credit cards, wealth management, insurance claims, and more. Each line of business has its own workflows, compliance requirements, terminology, and escalation paths. Today, most organizations address this complexity by building separate IVR flows for each client or business […]

A voice-activated AI agent can make contact center management significantly faster when the AI agents handling your calls need urgent changes. Supervisors running these AI agents on Amazon Connect Customer face a persistent operational challenge. When critical systems go down or AI agent behavior needs immediate adjustment, the path from decision to action involves multiple […]

Introduction Artificial intelligence (AI) Agents, Prompts, and Guardrails give contact centers extensive control over how generative AI engages customers and supports human agents. Built into the next generation of Amazon Connect Customer, these three features let you select the right large language model (LLM) for each task and configure how it behaves within your contact […]

Why the breadth of your integration architecture determines the capability of your AI agent. Introduction Autonomous resolution through agentic integration is redefining how contact centers operate. Advances in AI reasoning, open integration standards, and composable service design have converged to make something previously impossible now practical: AI agents that autonomously resolve complex, multi-system customer issues […]

Introduction Building Amazon Connect AI agents presents developers with a familiar challenge: tight timelines meet complex integration requirements. You need to connect multiple backend APIs, implement robust error handling, generate realistic test data, and debug multi-service interactions, all while maintaining code quality and consistency. A proof-of-concept that integrates 10-15 APIs can easily consume 2-3 weeks […]

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 […]

1. Introduction Amazon Connect Email delivers built-in capabilities to prioritize, assign, and automate customer service email resolution within Amazon Connect’s unified omni-channel contact center platform. Organizations can manage email interactions alongside voice and chat, route emails based on customer attributes and content, and maintain interaction history within customer profiles. This blog describes how to add […]

We will introduce how generative AI contributes to VoC (Voice of Customer) analysis in contact centers, particularly focusing on the advantages of methods using the latest LLM (Large Language Model) technology and their superiority when compared to conventional approaches.

Generative AI is delivering real customer experience (CX) results in production at enterprise scale sooner than expected.

Introduction Contact center agents face a variety of challenges when handling customer interactions. Whether it’s troubleshooting a technical issue, resolving a billing dispute, or simply providing helpful, accurate information, agents need to be effective across a wide range of topics. This often requires months, or even years, of experience becoming familiar with the various issues […]