Why Automated Testing is a Game Changer for your QA Strategy

Your business might be juggling countless priorities like speeding up releases, improving product quality, cutting expenses, and maintaining team cohesion. However, if you’re QA cycle still relies heavily on manual testing, you’re likely to slow down progress.

If this sounds familiar, it’s time to reconsider how you use automated testing. According to Katalon’s 2025 Test Automation Report, nearly 82% of QA teams still rely on manual testing. However, those who have adopted automation have reported up to 70% faster release cycles and a notable improvement in product quality.

At Clarion, we’ve seen how platforms like AccelQ are helping teams overcome these challenges to automate repetitive tasks, reducing manual efforts and enabling faster, smarter QA delivery.

If you’re curious to know how QA automation services can transform your strategy, read on to learn how it works and industries are profiting from quality assurance services.

How Automated Testing Transforms QA Workflows

Automated QA testing isn’t just about running the same tests faster. It changes every aspect of your QA team’s daily operations such as what testers actually focus on, how fast you can ship and how confident everyone feels on release day.

If you’re unsure about automated testing, let’s dive in to understand how automated testing transforms QA workflows:

#1 Repetitive Manual to Regression Testing

Regression testing takes days or weeks in a traditional setup before a big release. Testers run the same essential processes, such as login, checkout and critical API calls. Automation turns that entire task into a background process:

• Automate your core regression suite once
• Run it automatically on every new build, even multiple times a day.
• Free QA from babysitting test steps so they can focus on results and edge cases.

Many experts now recommend automating 60-70 percent of regression tests, concentrating on high-value, repeated scenarios (LoadFocus).

#2 Continuous Testing in CI/CD

When you shift automated tests into your CI/CD pipelines, your workflow tests change all the time and not just at the end. According to Load Focus, around 70% of development teams now integrate automated tests as a core part of their CI/CD pipelines, turning testing from a separate phase to an integrated one. This is a part of continuous testing. Here’s how it works:

• Developer commits → CI/CD triggers automated tests
• Unit, API, and UI suites run automatically
• Failures are flagged within minutes, not days

With this, you get faster feedback, smaller/safer releases and higher deployment frequency. These are all key traits of high-performing, DORA-style DevOps teams.

#3 Codeless, Business-Focused Test Automation

Testing has evolved from script-heavy to business-focused, codeless workflows. Traditional automation required a lot of scripts, constant maintenance and a strong reliance on developers. Due to this, scaling automation became expensive, slow and time-consuming.

Modern tools like AccelQ reverse this model. Instead of struggling with scripts, they design tests around how the business actually works using natural-language stages and visual processes. That means:

• Codeless/low-code tests that are faster to build and maintain
• Non-technical team members can help create and manage tests
• One business-driven “source of truth” instead of scattered scripts

#4 Early Defect Prevention

When most of your testing is manual, there’s a high chance of missing some errors during full regression, UAT or in production. By then addressing a bug can be slow, expensive and risky than simply applying a quick patch.

According to Forbes, a flaw that might only cost $100 to fix early can easily turn into a $10,000 issue if it’s found in production. A software automation testing changes this equation by:

• Running quick checks on every commit
• Catching regressions before they reach users
• Enabling frequent, reliable regression runs
• Turning QA into an early warning system

#5 Data-Driven QA Decisions

Once you switch to automating tests, your QA workflows gain something which manual testing can’t provide. You can check things like pass/fail rates by module or feature, flaky test trends, time taken per suite and so on.

Modern automation and reporting tools detect these patterns over time. For example, test automation metrics such as automation pass rates, automatable test case percentages, and more are now widely used to measure the effectiveness and impact of automation. In platforms like AccelQ, this reporting goes even deeper, helping you pinpoint:

• Where are your tests most brittle?
• Which parts of the app fail the most?
• How much of your release-critical paths are truly automated?

#6 Value-adding Quality Partners

According to Marketing Scoop, 46 percent of teams see a 50 percent or higher reduction in manual testing after adopting automation. This is a huge change but it nowhere means testers aren’t needed anymore. It means they can finally:

• Focus on exploratory and edge-case testing
• Get more involved in requirements and shift-left reviews
• Design smarter test data and scenarios instead of rerunning regression

Steps to Build a Scalable QA Strategy

Before you pick any tools or platforms, it’s essential to understand your current state to build a scalable QA testing automation strategy. Let’s discuss it step-by-step:

1. Know Your Current State

First, get a clear view of your current QA setup. According to the World Quality Report, teams who treat  QA as a systematic, measurable practice benefit most from automation in the long run.

So, you don’t need a sophisticated framework, just answer to a few questions below:

• How much of your testing is still manual?
• Which test cycles slow you down the most?
• Where do defects slip through to production most often?

2. Define Clear Goals

Automation isn’t just about a tool. You need to be clear about why you’re doing it. These common goals can be like, reducing test cycle time, increasing coverage or cutting production incidents.

For example, according to AImultiple, 30% of businesses adopting test automation stated faster time-to-market is their primary goal.

3. Pick an Automation Approach

Once you know your goals, you can decide how to automate:

• What to automate first: High-volume, repeatable tests, high-risk flows
• What level to focus on: UI tests for end-to-end journeys, API tests for stability and speed, data-driven tests for edge cases

It can help you to prioritize the main area required for automation testing.

4. Plug Automation into your CI/CD Pipeline

To really make a change, make sure key test suites run automatically on each commit or at least every build. It should not just be before major releases. According to MoldStud, businesses using automated builds and tests see around a 30% increase in deployment frequency and much fewer defects.

5. Invest in People, Process and CI

A scalable QA strategy is not just about tools and scripts. It is also about how your team works. To make sure your teams gives their best, focus on:

• Upskilling your team
• Standardizing how you design tests
• Reviewing and improving regularly

Automated Testing Use Cases

Automated testing isn’t just to make your work easy but it solves real problems across industries. Here are some real-world use cases on automated testing based on the issues faced by different sectors:

1. End-to-End Regression for Complex FinTech Apps

FinTech solutions are constantly changing, including new loan rules, pricing changes, UI tweaks, integrations with CRMs or core banking systems. It can be risky and time-consuming to manually do complete regression before every release.

However, AccelQ, an AI-powered automation QA tool, worked with a leading financial services organization. They used their cloud-based, no-infrastructure setup and pre-built assets for platforms like Salesforce and Microsoft Dynamics. It improved time-to-market and overall product quality while improving their quality lifecycle by 3x.

2. API & Integration Testing for Healthcare Platforms

When it comes to the healthcare industry, its systems are full of integrations, including EHRs, lab systems, billing, patient portals, insurance providers. If a single API breaks, it can hamper patient experience or even compliance.

According to the reports, a leading pharmaceutical company collaborated with AccelQ to automated API tests for critical cases. They powered over 1.9 million automated test executions across 273 CI/CD suites. It helped the company to deliver a 74 percent saving in cost of quality by standardising and extending their automation strategy.

Consult Clarion to Automate Your QA Strategy

So, if you're asking yourself:

• “How do we cut manual testing without losing quality?”
• “Can our QA handle faster releases?”
• “Do we have the right tools to automate web, mobile, and API tests?”

Then, automated testing software is exactly what you need and platforms like AccelQ can help you get there faster. However, choosing the right tool is just one part. You also need the right strategy, setup and QA team behind it. That’s when Clarion can help you.

Our experienced QA and test automation engineers specialize in developing scalable, automation-first QA workflows. We assist in transitioning from manual-heavy testing to a smarter, automated QA approach by helping you identify which test cases to automate, set up a tool, integrate it with your CI/CD workflow.

Plus, with our vEmployee™ model, you can onboard dedicated quality assurance automation experts from Clarion and work with them as your in-house team. If you’re ready to save your testing time, and increase coverage, get in touch with us. Let our A-Players automate your QA strategy and make sure your products/services are always release-ready.