How We Helped a Telecom Giant Reduce QA Costs by 40% with AEM Test Automation

Introduction

Agility is everything in a digital-first economy.

Customers expect uninterrupted digital experiences across every channel.

Powerhouse content management systems like Adobe Experience Manager (AEM) help enterprise brands keep pace by managing and delivering content at scale.

But being the gold standard for dynamic, component-driven content delivery doesn’t come without a few hiccups.

The more components, content variations, assets, and user journeys an organization manages, the more complex quality assurance becomes.

What starts as a manageable testing effort can quickly turn into a maze of repetitive validations, delayed releases, and growing QA costs.

Relying heavily on manual testing becomes a race against time. Test too little, and production issues slip through. Test everything manually, and release velocity takes a hit.

A telecom giant found itself caught in this exact dilemma. Their growing AEM framework demanded speed, consistency, and scale, and their QA process couldn’t keep up.

This blog post explains how implementing an AEM test automation strategy helped them reduce manual testing efforts by 75%, accelerate release cycles by 3x, and build a scalable testing framework for the future.

What Happened When a Telecom Brand Had an Enterprise-Scale Adobe Experience Manager That Relied on Manual QA Testing?

A leading telecom provider in North America with over 500 employees relied on Adobe Experience Manager (AEM) to deliver scalable digital experiences.

Their AEM infrastructure expanded to include 80+ reusable components, which made quality maintenance across releases difficult. Here are some challenges that came along with it and slowed down their operational efficiency:

a. Relying heavily on manual QA processes to validate more than 80 AEM components, resulting in significant time and effort spent on every release.

b. Performing repetitive component testing across multiple content variations and user journeys, creating operational bottlenecks and reducing QA productivity.

c. Slowing down release cycles due to extensive manual validation efforts, making it difficult to deploy updates quickly without introducing regressions.

d. Struggling to maintain consistency across releases as the growing complexity of the platform increased the likelihood of defects and inconsistent component behavior.

e. Publishing digital assets without automated DAM metadata validation, increasing the risk of incomplete, inaccurate, or non-compliant assets reaching production.

f. Overlooking WCAG accessibility requirements because manual reviews alone were insufficient to consistently identify and address accessibility issues.

g. Increasing QA costs and resource dependency as scaling quality assurance required additional manual effort and a growing QA headcount.

h. Limiting the scalability of the testing process by relying on approaches that could not efficiently support the organization’s continued digital growth.

How Did Team Grazitti Help the Telecom Giant Keep Quality Intact While Scaling Digital Experiences?

The telecom provider needed nothing short of a scalable testing framework that could improve coverage, accelerate releases, and maintain quality across digital experiences.

The organization was looking to automate end-to-end testing across AEM components to reduce manual efforts and improve testing consistency.

They wanted to build a CI/CD-integrated QA pipeline for faster and more reliable releases. The customer was also keen on introducing visual regression testing to identify unintended UI changes before deployment and validate DAM metadata automatically for content accuracy and compliance.

Lastly, they had an agenda to achieve and maintain Web Content Accessibility Guidelines (WCAG) compliance through a more systematic approach to accessibility testing.

Our quality assurance experts implemented a comprehensive AEM test automation framework to meet these requirements.

We helped the customer implement the following solutions:

a. Leverage Selenium and AEM HTL Automation to automate unit-level testing across more than 80 AEM components, ensuring consistent functionality, reducing repetitive testing effort, and significantly improving test coverage.

b. Implement Cypress end-to-end testing to simulate real-world authoring and visitor workflows, enabling comprehensive validation of user journeys and minimizing the risk of production regressions.

c. Utilize AEM Mocks with JUnit and Sling Test Utilities to perform AEM unit testing and validate backend business logic in isolation, allowing developers to test component behavior without requiring a running AEM instance and accelerating the testing process.

d. Integrate automated test execution into Jenkins CI/CD pipelines to trigger validation on every code push, ensuring defects are identified early and enabling faster, more reliable releases. This approach mirrors modern best practices such as implementing Playwright automation in AEM as a Cloud Service to manage Author UI interactions and build-tier regressions effortlessly.

e. Introduce visual regression testing with Percy to automatically compare screenshots across releases and detect unintended UI changes before they reach production.

f. Automate DAM metadata validation to verify that digital assets meet predefined metadata standards, preventing incomplete, inaccurate, or non-compliant assets from being published.

g. Embed accessibility validation into the QA process to help identify WCAG compliance issues earlier and support consistent accessibility standards across digital experiences.

How Did a Scalable AEM Test Automation Strategy Help Reduce QA Costs by 40% and Deliver 3x Faster Releases?

The shift from a manual, resource-intensive QA process to an automated testing framework transformed how the telecom provider validated, released, and maintained digital experiences on AEM.

Beyond improving testing efficiency, the initiative delivered measurable gains in speed, cost optimization, quality assurance, and operational scalability.

Here are some of the most significant outcomes:

• Reduced manual QA effort by 75%, enabling teams to focus on higher-value testing activities instead of repetitive validation tasks.
• Accelerated release cycles by 3x, allowing new features, updates, and content experiences to reach production significantly faster.
• Expanded automated test coverage across 80+ AEM components, ensuring consistent validation and quality assurance throughout the platform.
• Lowered QA costs by 40%, creating a more efficient and scalable testing model.

The impact extended well beyond the numbers:

• Enabled faster deployments with zero critical regressions, improving release confidence and overall platform stability.
• Delivered consistent component output across environments, minimizing the risk of unexpected behavior after deployment.
• Automated DAM validation and saved hours of effort during every release cycle, reducing manual review overhead and improving content governance.
• Achieved and maintained WCAG compliance at scale, helping ensure accessible digital experiences across the platform.
• Improved author confidence and reduced dependency on QA headcount growth, allowing the organization to scale without proportionally increasing testing resources.

The Takeaway—AEM QA Automation is a Business Enabler for Faster Releases & Reliable Digital Experience Delivery

For this telecom provider, QA automation was not simply about replacing manual testing with automated scripts.

It was about building a scalable AEM automated testing framework capable of supporting a growing AEM landscape without compromising release speed, quality, accessibility, or operational efficiency.

As digital experiences continue to grow in complexity, relying heavily on manual testing becomes increasingly difficult to sustain.

Investing in scalable AEM test automation enables organizations to accelerate innovation, maintain consistent user experiences, and support business growth without continually expanding QA effort.

If your team is facing similar challenges with release delays, rising testing costs, accessibility compliance, or maintaining quality at scale, it may be time to rethink how QA fits into your digital delivery strategy.

Ready to Elevate QA From a Release Bottleneck to a Competitive Advantage? Contact Us.