Test automation: what it is and why to do it

Test automation has become an essential strategy for companies that need to speed up deliveries, reduce operational failures, and keep up with the growing complexity of digital systems.

Organizations that still rely exclusively on manual validations face challenges such as frequent rework, delays in releases, difficulty scaling operations, and a higher risk of errors in environments with ERP, CRM, and multiple integrations.

In this way, automating tests increases the reliability of systems, speeds up the development cycle, and optimizes the productivity of IT and QA teams.

Keep reading to understand how test automation works, when to invest in this strategy, and how it drives scalability with lower operational risk.

Enjoy the read!

What is test automation?

Test automation is the process of using testing software (tools and frameworks) to run checks, scripts, and validations on systems, mobile apps, and corporate platforms in an automated way.

Unlike manual testing, which requires constant human intervention, test automation lets repetitive tasks run quickly, with precise metrics and indicators.

In general, automating a test usually involves:

Creating test scripts that simulate user actions;
Validating expected results in mobile apps, ERP (Enterprise Resource Planning) and CRM (Customer Relationship Management) systems;
Continuous monitoring to detect failures and inconsistencies.

In companies with complex digital operations, test automation helps reduce failures in critical systems, speed up validations, and sustain faster, more predictable delivery cycles.

The goal is to achieve quality, agility, and cost reduction, without sacrificing security or user experience.

What is the difference between automated and manual testing?

Although manual tests are still used in exploratory validations and specific scenarios, companies that work with complex systems, frequent updates, and scalable operations need speed, predictability, and coverage.

In this scenario, automated tests become essential to reduce operational failures, speed up deliveries, and increase software reliability.

Automated testing vs. manual testing comparison

Criterion	Manual testing	Automated testing
Execution	Performed by people	Run by scripts
Speed	Slower	Faster
Scalability	Limited	High
Repeatability	Variable	Consistent
Human error	Higher risk	Reduced
Test coverage	Partial	Broader
CI/CD integration	Limited	Complete
Operating costs	Rising	Optimized in the long run
Best use	Exploratory testing	Repetitive, well-defined testing

When to use automated and manual testing together?

Choosing a hybrid testing approach is ideal to maximize test coverage, ensuring efficiency and reliability in the final product.

That is why one test should not replace the other: the ideal is to combine them strategically.

With that in mind, it is important to understand that each test performs better in specific scenarios.

Thus, automated tests are better for:

Ensuring stability after changes.
Eliminating repetitive manual tasks.
Validating data at scale.
Instant feedback in the development cycle.
Mitigating risks in vital software flows.

Meanwhile, manual tests are best used to:

Assess the user experience during navigation.
Run exploratory tests based on different contexts.
Analyze sensory and aesthetic quality.
Check specific changes or bug fixes.

With that in mind, the ideal scenarios for using these tests together are:

Development of new features.
Automated regression testing and manual exploratory testing.
Usability and UX testing.
Front-end changes.
Validation of complex end-to-end scenarios.

In short, the most efficient model is to combine the approaches strategically to balance agility, coverage, and quality in deliveries.

🟢 Better understand the differences between automated testing and manual testing!

How does test automation work?

Test automation works by creating scripts, sequences of instructions written in a programming language, that simulate real user interactions in systems, apps, and platforms.

In this way, companies can automate repetitive validations, speed up testing processes, and increase operational efficiency.

The scripts are run by automation tools that check whether the software behavior matches what is expected, reducing manual failures and increasing the reliability of the validations.

Automated execution across different environments and versions makes it possible to identify failures quickly, supporting continuous adjustments and reducing risks before problems affect users or critical operations.

In addition, resources such as real-time monitoring and integration with CI and CD pipelines help speed up development cycles, increase delivery predictability, and reduce the risk of human errors in frequent updates.

Why is it important to automate software testing?

As explained, test automation uses digital tools to run validations on software and identify possible failures before they affect users, operations, or critical company processes.

Although tests can be done manually, automation speeds up repetitive validations, reduces execution time, and supports faster, more predictable development cycles.

Companies that still rely exclusively on manual testing face challenges such as:

Higher risk of human errors during repetitive execution;
Constant rework after updates and releases;
Difficulty keeping up with agile development cycles and the digital evolution of the operation;
Higher risk of failures in production and system unavailability.

On the other hand, by automating tests, companies can strengthen software reliability and sustain more efficient digital operations through:

Greater consistency in quality and a reduction of critical failures;
Continuous monitoring and faster identification of inconsistencies;
More security and predictability in ERP and integrated system updates.

Given the high competitiveness of the market, test automation is not a differentiator but a strategic necessity for organizations that depend on a complex software architecture.

🔴 Understand why to automate SAP testing!

When to invest in test automation?

As companies accelerate their digital transformation, the challenges related to the quality, stability, and speed of software deliveries also grow.

In many cases, manual tests can no longer keep up with the pace of updates, integrations, and operational demands, creating bottlenecks that impact productivity, costs, and user experience.

In this scenario, identifying the right moment to invest in test automation is essential to drive scalability, predictability, and efficiency in software development.

Signs that your company needs to automate testing

Some signs indicate that manual tests can no longer sustain the complexity and speed the business requires.

Among the main scenarios are:

Frequent rework after updates: if new releases cause failures in already-validated features, automation helps reduce regressions and increase software stability.
Excessive time to validate systems: very long manual processes delay deliveries, compromise team productivity, and hinder agile development cycles.
Growing system complexity: companies that work with ERP, CRM, APIs, and multiple integrations need scalable tests to ensure operational reliability.
Recurring failures in production: when bugs frequently reach the end user, automation helps increase test coverage and detect inconsistencies before the deploy.
Teams overloaded with repetitive tasks: QA teams and developers who spend much of their time on operational validations have less room for innovation and strategic improvements.
Adoption of agile methodologies and CI/CD: companies with continuous deliveries need fast, automated validations to keep up with the speed of software changes.

The greater the need for scale, speed, and predictability, the more strategic test automation becomes to sustain the growth of the operation.

Companies that benefit most from test automation

Although companies from different segments can automate testing, some operations feel the impacts of automation even more significantly.

This happens due to the high complexity of the systems and the volume of updates.

SaaS and technology companies

Businesses with frequent updates need to ensure continuous stability without compromising user experience.

Operations with ERP, CRM, and SAP

Integrated systems require constant validations to avoid failures that impact financial, logistics, and operational processes.

Fintechs and financial sector companies

Highly regulated environments demand security, precision, and maximum reduction of failures in production.

E-commerces and digital retail

Automation helps ensure stability during periods of high traffic, integrations, and constant updates in the buying journey.

Industries and companies with complex operations

Organizations that depend on multiple systems and operational flows need greater predictability and technological reliability.

Healthtechs and companies with sensitive data

With the General Data Protection Law in mind, automation strengthens validation, compliance, and security processes in critical environments.

In companies with mature digital operations, test automation becomes a strategic part of operational efficiency, scalability, and risk reduction.

Advantages of automated testing

Smart automation offers advantages that go beyond the speed of running software tests.

In fact, implementing it provides concrete benefits:

1. Cost reduction

By replacing repetitive manual tests with automated tests, it is possible to reduce hours of human work and errors that generate rework.

This frees up budget for innovation and strategic investments and speeds up the technology's ROI (return on investment).

2. Speed of delivery

Pre-configured scripts make it possible to run hundreds of scenarios simultaneously in just a few minutes, speeding up validation cycles and reducing the time between development, testing, and release.

This enables faster deliveries, early detection of failures, and greater productivity for QA and development teams.

3. Consistent quality

Automated tests maintain Quality Assurance (QA) standards, allowing each release to follow excellence criteria.

This reduces incidents in production, preserves customer trust, and protects the company's reputation.

4. Comprehensive coverage

With the ability to automate a wide range of tests, including edge tests and complex scenarios, automated testing makes a more comprehensive software coverage possible, effectively identifying critical areas and potential problems.

5. Scalability

Automation makes it possible to test new features, ERP, and CRM systems without depending on huge teams.

Thus, business growth is not limited by operational costs or human bottlenecks.

6. Continuous Integration and Continuous Delivery (CI/CD)

Automated testing is fundamental to the successful implementation of CI/CD practices, enabling automatic validations with each code change.

The greatest of the benefits of smart automation is raising software quality.

7. Script reuse

Automated scripts can be reused across different versions, flows, and stages of software development, reducing operational effort and speeding up future validations.

This increases process standardization and improves the sustainability of the QA strategy in the long term.

8. Improved user experience

With performance testing, agility testing, and security testing, the final solution meets customer expectations.

This generates loyalty, strengthens the brand, and increases customer satisfaction, boosting recurring revenue.

In the end, all the advantages mentioned converge on a single point: the strengthening of the business model through the connection between operational efficiency and real value generation.

How does test automation impact the business?

Test automation goes beyond the technical optimization of software development.

In practice, it directly influences operational efficiency, team productivity, and the company's ability to scale systems with more predictability.

By reducing manual failures and speeding up validations, automation strengthens internal processes, improves the quality of deliveries, and contributes to more stable and sustainable operations.

Reduction of operational costs

Production failures, rework, and excessive manual validations significantly increase the operational costs of IT and QA teams.

With test automation, repetitive processes start to be run in a faster, more standardized way, reducing the time spent on corrections, reviews, and manual checks.

In addition to optimizing internal resources, automation helps reduce incidents in production and avoid costs related to unavailability, delays in releases, and critical failures in corporate systems.

More productivity for IT and QA teams

Teams that rely exclusively on manual testing tend to spend more time on repetitive, operational tasks, reducing their capacity for strategic work.

Automation makes it possible to speed up validation cycles, free professionals for more complex analyses, and increase delivery efficiency.

Greater predictability and security in deliveries

In environments with frequent updates and multiple integrations, maintaining operational stability becomes a constant challenge.

Test automation helps reduce inconsistencies between versions, broaden validation coverage, and identify failures before they reach the end user.

How to calculate the ROI of test automation

The ROI of test automation can be analyzed based on the reduction of manual effort, the decrease in production failures, and the increase in team productivity.

Although the initial implementation requires investments in tools, structure, and training, the operational gains over time tend to quickly offset the initial costs.

This payoff is clear mainly in companies with complex digital operations.

Types of tests to automate

Some examples of test levels that can be automated are:

Integration testing: checks the communication between different modules, systems, or APIs (Application Programming Interface).
Acceptance testing: validates whether the system actually meets the end user's needs.
Regression testing: ensures that new changes do not break existing features.
Performance testing: assesses the system's speed, stability, and performance.
Security testing: identifies vulnerabilities and risks related to the LGPD (General Data Protection Law) and compliance.
Progressive testing: runs tests in stages, allowing continuous adjustments without impacting production.
Agility testing: checks whether fast changes in the system keep the user experience satisfactory.
Unit testing: examines the smallest testable part of a piece of code, isolating and validating specific features or methods.
Functional testing: validates whether each function or feature of the system operates according to business requirements and specifications.
Graphical user interface (UI) testing: checks the usability and appearance of visual elements so the user interaction is intuitive and error-free.

By combining different types of tests, you can optimize processes and obtain measurable results.

What are the main challenges of test automation?

Despite the benefits, companies can face challenges with test automation:

Integration with legacy systems

Not all platforms support direct integration.

Many companies still rely on old or custom systems that were not designed for automation, which can cause incompatibilities, the need for manual adaptations, or dependence on proprietary connectors.

Internal resistance

Teams used to manual testing may hesitate to adopt new technologies.

Professionals less familiar with software automation may resist using the tools, creating a cultural barrier.

Script maintenance

As systems evolve, the instructions need to be updated constantly.

Modern applications change quickly, and each update to an interface, flow, or business rule can invalidate automation scripts, requiring constant adjustments.

Choosing the right tool

An inadequate automation tool negatively compromises results by extending the automation development time and slowing down test execution.

Beyond being ineffective, it can cause significant damage, harming the entire project.

Understanding the possible challenges is crucial so that test automation adds real value to the business, without generating hidden costs or internal frustrations.

🔵 Learn how automated testing with Selenium works!

How to start automating software testing?

Implementing test automation requires strategic planning, alignment between teams, and the definition of priorities that sustain operational efficiency, scalability, and quality in deliveries.

1. Map critical processes

The first step is to identify which business flows have the greatest impact.

For example, ERP and CRM modules or apps used daily by customers and employees.

This mapping directs automated tests to the more sensitive areas of the operation, reducing risks in critical processes and making it possible to identify failures before they cause operational losses.

2. Choose the software automation tool

There is no single tool capable of serving all scenarios and levels of complexity.

The choice should consider the system's complexity, the programming language adopted, the ease of integration with CI/CD pipelines, and the cost-benefit.

Selecting the right software automation tool reduces rework, makes future integrations easier, and increases operational efficiency from the start of the project.

3. Train teams

Even the best technology loses value when the team is not prepared to use it.

Investing in training on automation frameworks, script creation, and continuous monitoring strengthens team autonomy, reduces operational failures, and speeds up the learning curve.

4. Run pilot tests

Before scaling, it is recommended to run pilot projects in controlled environments.

These tests work as a proof of concept, validate the quality of the scripts created, and help adjust strategies without compromising critical processes in production.

5. Scale gradually

With validated results, automation can be expanded to other processes, adjusting scripts and analysis metrics according to the company's maturity.

This gradual growth reduces operational risks, strengthens IT governance, and supports a sustainable, scalable digital transformation aligned with business needs.

When each phase is carried out clearly, from the initial mapping to the gradual expansion, the company builds a more solid foundation for continuous innovation, sustainable scalability, and trust in the software delivered.

Best practices for test automation

To maximize the value of test automation, some practices are essential:

Define clear objectives: which problems you want to solve with automation.
Choose reliable frameworks: which sets of tools, standards, and pre-written code best structure the execution of automation tests?
Prioritize critical tests: automate first the processes that directly impact the user experience.
Keep scripts up to date: systems change constantly and your instructions must evolve along with them.
Monitor metrics and indicators: track results for continuous adjustments.

By following these practices, you gain scalable efficiency and avoid wasting resources.

🟡 Also discover the worst practices in test automation to avoid making them in your software!

Which metrics should you track to measure the success of software test automation?

Monitoring test automation metrics is fundamental to assess not only the technical efficiency of the operation, but also impacts on productivity, software quality, and delivery predictability.

These indicators help companies identify bottlenecks, optimize resources, and track the evolution of QA process maturity.

Check out some of the main metrics used to measure test automation performance:

Efficiency metrics

Metric	What it measures	Why is it important?
Test Execution Time	The total time it takes to run the entire suite of automated tests (in minutes/hours)	The drastic reduction in test execution time is the most direct benefit of automation, enabling faster feedback and more frequent releases
Automation Coverage	The percentage of manual test cases that have been converted to automation	Indicates the scope of automation. High coverage suggests that less time will be spent on repetitive manual testing
Execution Cost per Test	The cost (in work hours) of running a test case manually versus automatically	Demonstrates resource savings. Ideally, the automated cost should be nearly zero after the initial creation investment
Feedback Time	The time between code submission and the completion of the test pipeline that indicates whether the code is ready (pass/fail)	The shorter the feedback time, the faster developers can fix bugs or move on to new deliveries and fixes

Quality metrics

Metric	What it measures	Why is it important?
Defects Found	The number of critical and serious bugs that automation identified before they reached production	Automation acts as a strategic layer of prevention, reducing risks and identifying failures before they affect users or critical operations
Defect Escape Rate	The percentage of bugs that automation did not detect and that were only found in Production or by later manual testing	Indicates the effectiveness of automation. A high escape rate suggests that the automation strategy may need broader coverage, a review of critical scenarios, or optimization of existing tests
Instability Rate (Flakiness)	How often tests fail without any code change (flaky tests)	It is a critical automation health metric, since high instability reduces automation reliability and impacts teams' decision-making.

Sustainability metrics

Metric	What it measures	Why is it important?
Test Maintenance Time	The average time spent fixing a broken (failed) test or updating a test due to a code change	If maintenance is slow, the operational effort of automation can compromise its scalability and reduce the expected return on investment
Test Creation Productivity	The number of automated tests created by a software engineer in a given period	Measures the framework's efficiency. If productivity is low, the framework may have excess complexity, low standardization, or scalability limitations
Framework Adoption	The percentage of teams/projects within the organization that are using the standard automation framework	High adoption suggests the framework is well accepted, efficient, scalable, and aligned with the operation's needs.

The success of test automation is the ability to identify bugs consistently, reduce operational risks, and sustain more reliable deliveries over time.

When tracked strategically, these metrics help companies continuously evolve their QA processes, increase operational efficiency, and strengthen software quality in complex environments.

The role of AI in test automation

Artificial intelligence (AI) is revolutionizing automated testing through:

automatic script creation based on usage patterns;
predictive analysis of failures and performance testing;
anomaly detection in complex software architecture;
reduction of rework in repetitive processes.

The combination of test automation and AI results in time savings, cost reduction, and improved user experience, creating a long-term competitive advantage.

What is the best platform to optimize software testing securely and efficiently?

As test automation evolves within companies, the need to centralize executions, broaden validation coverage, and integrate different frameworks into a single QA operation also grows.

In this scenario, Proton acts as an automated test orchestration platform aimed at companies that seek more efficiency, scalability, and control over their software quality processes.

With Proton, QA teams can manage and orchestrate their scripts, regardless of the technologies used, such as Cypress, Cucumber, Rest Assured, Appium, and others.

This makes process standardization easier, reduces operational complexity, and increases the efficiency of testing routines.

Integration with different frameworks makes it possible to broaden test coverage and adapt automation to the specific needs of each operation, favoring more scalable environments aligned with CI/CD practices.

In addition, Proton makes it possible to create dedicated test cycles for different projects or squads, promoting a more structured, predictable, and collaborative management of QA operations.

Get to know Proton and discover how to centralize automated testing more efficiently!

Gain more productivity with smart automation

Improve your results with smart test automation, reducing costs, speeding up deliveries, and strengthening the user experience with Proton.

Get dynamic dashboards that update automatically based on test cycles, providing a clear, instant view of the project's quality status.

Visit the Atomic Solutions website and get in touch to request a personalized automation strategy for your company!

Frequently asked questions about test automation

The main questions about the subject answered.

What is the difference between manual testing and automated testing?

Manual testing depends on human execution, subject to errors and lower scalability. Automated testing, on the other hand, uses scripts and tools that provide precision, repeatability, and greater speed, reducing operational costs.

How does test automation impact IT ROI?

Test automation optimizes time, minimizes failures, and speeds up deliveries, reducing rework and increasing reliability. The result is a more predictable, sustainable ROI aligned with the IT (Information Technology) strategy.

How to integrate test automation into existing ERP and CRM systems?

Integrating automated tests into ERP and CRM requires analyzing the critical flows, choosing compatible tools, and building adapted scripts to gain stability, operational continuity, and greater efficiency in complex systems.

Test automation: what it is, how it works, why to do it, and how the right platform can optimize your business model