Customer Stories / Software & Internet / Brazil

2024
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Accenture Brazil Transforms Service Desk Operations Using AWS

How Accenture Brazil leveraged Amazon Connect for operational efficiency, cost reduction, and technological innovation

50%

in infrastructure costs saving using a cloud-based contact center

25,000

calls per month in three languages

Leverages

self-service and automated case resolution to maximize operator efficiency

Secures information

for international clients with automatically encrypted data and robust identity access management

Overview

Accenture Brazil is part of a global management consulting, technology services, and outsourcing company, helping clients become high-performance businesses. It faced challenges with its inflexible and costly on-premises service desk infrastructure for employees, which was serving more than 17,000 staff members in Latin America. As an AWS Premier Partner, Accenture Brazil chose Amazon Connect, an easy-to-use, artificial intelligence (AI)- and machine learning (ML)-powered cloud-based contact center service, to modernize its call center infrastructure.

After a complete migration to Amazon Connect, Accenture Brazil rapidly increased remote service demands, improved security, and expanded capabilities. The company has reduced its infrastructure costs by 50 percent and can scale call center resources up or down instantly. Solutions from Amazon Web Services (AWS) have enabled powerful new options for self-service and multilingual support, along with advanced sentiment analysis that improves the performance of call center operators. Shifting operations to the cloud has made it possible for Accenture Brazil to outsource call center services for international clients.

Call center agent with headset working on support hotline in modern office

Opportunity | Taking Aim at Call Center Cost, Complexity, and Inability to Scale Fast

Accenture is a leading global professional services company with more than 733,000 employees serving clients in 120 countries. Accenture's operation in Brazil had long operated a service desk that provided phone-based, 24/7 support for 17,000 employees throughout Latin America. Call center management wanted to scale services to not only align with the company’s growth, but to expand its services to clients who wanted to outsource their service desk operations with Accenture.

However, Accenture Brazil’s call center operations required major investments in on-premises infrastructure, preventing it from gaining the agility and cost effectiveness it needed to grow.

"We were tied to a rigid, fixed-cost business model with negotiated contracts for our staffing, services, and infrastructure suppliers,” said Eduardo Salomão, Accenture Brazil go-to-market lead for AWS. “If demand fell below average, we would have to pay for services we didn’t need. If we needed to add capacity, we would have to renegotiate contracts with our service providers. It was a very slow and complex process.”

Other challenges added more layers of cost and complexity. Planning for surge capacity, for example, required Accenture Brazil to overprovision its expensive, on-premises call center infrastructure. Adding new service desk clients often required complex, time-consuming integrations with the client's own in-house systems.

kr_quotemark

Amazon Connect reduced our operational costs and gave us greater flexibility.”

Eduardo Salomão
Go-To-Market Lead for AWS, Accenture Brazil.

Solution | Moving to a Cloud-Based Contact Center Boosts Flexibility and Security

When AWS introduced Amazon Connect in 2017, Accenture Brazil was confident that the platform could provide a simple, scalable, secure, and cost-effective foundation for its call center infrastructure. Since the regulatory environment in Brazil at the time prevented Accenture Brazil from fully migrating away from the country's local telecom infrastructure, Accenture Brazil worked with AWS to implement a hybrid solution, running Amazon Connect integrated with the existing telephony infrastructure. The new platform allowed Accenture Brazil to extend beyond internal requests, and act as a contact center-as-a-service for its international clients. "Amazon Connect reduced our operational costs and gave us greater flexibility," Salomão said.

In 2023, when AWS was officially cleared to provide telephone infrastructure services in Brazil, Accenture Brazil began the full-scale migration of its own call center infrastructure. "Fully moving to Amazon Connect simplified our infrastructure, reduced our costs, and gave us far more flexibility than we had in the past," Salomão said.

Accenture Brazil completed the migration process in less than a month—with most of that time devoted to Accenture’s additional quality assurance and testing rather than technical implementation.

Accenture Brazil did not have to compromise security for agility because of the inherent protections of Amazon Connect, which was one of the determining factors for the company’s complete move to the cloud-based contact center. With remote employees addressing requests for customers that may involve sensitive information, Accenture Brazil needed sufficient controls in place. “Amazon Connect allows us to continue our emphasis on security. Everything is encrypted, and we can ensure that each employee only has access to the information they need,” Salomão said.

Outcome | Setting a New Standard in Service Efficiency and Innovation

Completing its migration to Amazon Connect yielded a simpler and leaner infrastructure, freeing up resources to further innovate on services.

"We can scale our infrastructure resources up or down, quickly and with very little effort, while paying only for the services that we're using," Salomão said. As a result, Accenture Brazil has already cut its infrastructure costs by 50 percent or more, with the potential for even bigger cost savings in the future.

Integration with other AWS services has helped Accenture Brazil more efficiently route calls, broaden the geographical footprint of its service area, and better evaluate operator performance and customer satisfaction. With Amazon Lex and Amazon Polly, the company implements multi-lingual chatbots and automated voice systems required for call-based self-service offerings. These self-service options ensure that the system's human operators spend their time when and where they're needed most. Using Amazon Comprehend, which provides sentiment analysis, leadership can assess operators’ alignment with the company’s service goals and inform improvement initiatives.

"Today, we have more than a dozen customers using our service desk for their own operations," Salomão said. "We answer service and support requests in Portuguese, Spanish, and English from clients and employees from North America, Europe, and Asia."

Now, Accenture Brazil’s virtual contact center is a 24/7 operation employing more than 200 operators providing business-critical live support. The center’s newfound flexibility, cost effectiveness, and scalability gives Accenture Brazil room to take customer service to the next level, with plans to expand use cases for ML and generative AI with Amazon Bedrock and Amazon SageMaker.

About Accenture Brazil

Accenture is a global professional services company specializing in IT services and consulting. Renowned for its expertise in digital, cloud, and security solutions, Accenture collaborates with clients across various industries to innovate and transform their businesses, leveraging a vast network of skilled professionals and cutting-edge technology.

AWS Services Used

Amazon Connect

A cloud-based contact center service offering scalable, easy-to-use functionalities that enhance customer service experiences and operational efficiency.

Learn more »

Amazon Lex

A fully managed AI service with advanced natural language models to design, build, test, and deploy conversational AI interfaces.

Learn more »

Amazon Polly

A text-to-speech service that deploys high-quality, natural-sounding human voices in dozens of languages.

Learn more »

Amazon Comprehend

A natural language processing (NLP) service that uses ML to uncover insights and relationships in text, enhancing data analysis.

Learn more »

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