Contact Center Modernization cover
Contact Center

Contact Center Modernization

How AI is Transforming Customer Experiences and Agent Productivity

Move beyond traditional support models with AI-powered insights, automation, and personalized customer interactions.

Overview

Contact centers are at the forefront of business transformation, evolving from cost centers to strategic assets that drive customer satisfaction and loyalty. This book provides a comprehensive guide to modernizing contact centers through the strategic implementation of AI technologies, cloud solutions, and innovative agent tools.

Through real-world case studies, strategic frameworks, and practical implementation guides, we explore how leading organizations are revolutionizing their contact centers. From intelligent call routing and sentiment analysis to generative AI-powered agent assistants and omnichannel customer experiences, we cover the full spectrum of modern contact center capabilities.

Whether you're a contact center leader, a CX executive, or a technology implementer, this book provides actionable insights to help you transform customer service operations, improve agent experiences, and deliver exceptional customer satisfaction while optimizing operational costs.

Key Takeaways

How AI is transforming every aspect of contact centers from self-service to agent assistance
Strategic implementation of real-time and post-call analytics for continuous improvement
Leveraging cloud-based solutions for scalability, flexibility, and cost optimization
Building effective generative AI agents and knowledge bases for enhanced customer experiences
Practical implementation approaches for organizations at any stage of contact center maturity

Chat with This Book

Have questions about contact center modernization? Want to explore specific concepts in more depth? Chat with an AI assistant that specializes in contact center transformation and the content of this book.

What are the most important metrics to track when implementing AI in a contact center?
When implementing AI in contact centers, focus on these key metrics: 1. Customer Experience: Track CSAT, NPS, and customer effort scores to measure impact 2. Operational Efficiency: Monitor average handle time, first contact resolution, and self-service containment rate 3. Agent Experience: Measure agent satisfaction, turnover rate, and time to proficiency 4. Business Impact: Track cost per contact, conversion rates, and revenue influenced The most successful implementations see 15-40% improvement in resolution times and 20-30% reduction in escalations within 3-6 months.

AWS Resources for Contact Centers

Access additional resources, tools, and reference implementations from AWS to help you implement AI-powered contact center transformation in your organization.

Amazon Connect

Discover AWS solutions for cloud-based contact centers, including omnichannel communications, AI-powered services, and advanced analytics.

Explore Amazon Connect

SMB Contact Center Solutions

Tailored contact center solutions for small and medium businesses, designed for quick deployment and scalability.

Learn More

Contact Center Intelligence

Machine learning use cases specifically for contact centers, including conversational analytics, agent assistance, and customer insights.

Explore ML Use Cases

CCaaS Solutions on AWS Marketplace

Discover partner solutions for Contact Center as a Service (CCaaS) available on AWS Marketplace.

Browse Solutions

GenAI Contact Center Agent

Implementation guide for creating generative AI agents for your contact center using Amazon Bedrock, Amazon Lex, and Amazon Connect.

View on GitHub

Amazon Connect Workshop

Comprehensive hands-on workshop for building a modern contact center with Amazon Connect including setup, configuration, and best practices.

View on GitHub

Contact Surveys for Amazon Connect

End-to-end solution for creating, managing and visualizing surveys for your Amazon Connect contact center.

View on GitHub

Live Call Analytics

Implementation for real-time call transcription, analytics, and agent assistance powered by Amazon language AI services.

View on GitHub

Post Call Analytics

Comprehensive solution for analyzing call recordings, transcripts, and customer interactions after calls are completed.

View on GitHub

Amazon Connect Streams API

API for integrating your existing web applications with Amazon Connect, embedding the Contact Control Panel and handling agent states.

View on GitHub

Lex with GenAI Capabilities

Enhancement of Amazon Connect and Amazon Lex with generative AI capabilities for more intelligent conversational interfaces.

View on GitHub

AWS Contact Center Blog

Stay up-to-date with the latest contact center technology insights, customer stories, and implementation guidance on the AWS Contact Center blog.

Read the Blog

Getting Started with Amazon Connect

Video guide for easy setup and configuration of cloud-based contact centers using Amazon Connect.

Watch Video

Intelligent Call Centers Demo

Demonstration of intelligent call center capabilities with Amazon Connect.

Watch on YouTube

AWS Contact Center Workshops

Hands-on workshops covering various aspects of Amazon Connect and contact center implementations.

Explore Workshops

GenAI Agents for Contact Centers

Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock knowledge bases.

Read Blog Post

Conversational AI with Amazon Lex

Add conversational AI capabilities to any contact center with Amazon Lex and Amazon Chime SDK.

Read Blog Post

Live Call Analytics & Agent Assist

Implement live call analytics and agent assistance using Amazon language AI services.

Read Blog Post

Post-Call Analytics

Implement post-call analytics for your contact center with Amazon language AI services.

Read Blog Post

QnABot on AWS

Generative AI solution that responds to customer inquiries across multiple languages and platforms, with no coding required.

Explore Solution

Real-Time Transcription with Whisper

Implementation guide for real-time transcription in Amazon Connect IVR using Whisper.

View on GitHub

Get Your Copy

Choose the format that works best for you.

Print Edition

$14.90
Physical copy delivered to your door
High-quality print and binding
Free shipping with Prime
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Kindle Edition

$1.99
Instant delivery
Read on any device
Adjustable text size and formatting
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Author

Meet the mind behind this book.

Matias Undurraga

Matias Undurraga

Author

Enterprise Technologist with over 20 years of experience in technology, data, and software development. At AWS, Matias helps customers implement successful AI transformations with his real-world enterprise experience across multiple industries and domains.

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