Skip to main content

Why IT Startups in the USA Are Using AI to Reduce QA Costs by 50% ?

Anush Chandra Shekar
Anush Chandra Shekar
SEO & Digital Marketing, DevAssure

Software Testing has evolved rapidly over the last decade. From test automation frameworks to AI-powered testing tools, the industry has witnessed a rapid change in how software testing is performed.

The ever-vibrant IT landscape in the United States, a frontier in the tech revolution, has contributed a lot to this evolution. Moreover, many IT companies in the USA have come up with their own test automation platforms, and other micro-SaaS startups have started to adopt AI-powered test automation tools.

us-startups-using-ai

The “Automation + AI” Approach​

AI’s incorporation in automation has become indispensable. Software testers across the United States are following the new approach by coupling AI with automation. This approach has resulted in the creation of AI-powered test automation tools such as DevAssure.

Why US Software Companies Are Using AI-Powered Test Automation Tools​

Test automation platforms help software testers in numerous ways. Fast-paced IT companies in the United States need to deploy bug-free code. Below are some of the reasons why US companies have started using AI-powered test automation tools.

1. Reduced Human Error​

Manual testing is prone to human error. Moreover, the traditional principles of manual testing can cause elongated QA cycles and delays in deployment. This also increases fatigue as software testers repeatedly perform repeated tasks.

By using a test automation software, human error can be avoided. Especially when testing fintech/banking applications where there can be no margin for human error, an AI-powered test automation platform comes in handy.

2. AI Test Case Generation​

Another aspect where time is consumed in the QA cycle is test case generation. Manually creating test cases by quality professionals can take a lot of time. Moreover, there is also a chance of omitting some functionality.

With an AI-powered test case generation tool, users can generate test cases with just a click. Even for complicated functionalities, AI can generate test cases within a matter of seconds. Most modern test automation tools have an in-built AI engine that helps software testers generate test cases via PRDs, UI mockups, image screenshots, etc.

IT companies in the US (both product-based and consulting) are moving toward this modern approach as it helps them with accuracy and productivity.

3. Automation for Complex Tasks​

Testing products with complex math calculations can cause human error when tested manually. With the incorporation of automation using a test automation tool, the entire complex and tedious testing process can be automated with just a few clicks. With the evolution of low-code testing tools like DevAssure, automating tasks has never been easier.

Most SaaS startups in the US are adopting low-code / no-code test automation tools as it helps even non-programmers perform testing. This also helps them ship quality features in a short span of time.

4. Checking Cross-Browser Compatibility​

Cross-browser compatibility is an important aspect of testing a web application’s UI and functionality across different browsers, dimensions, and devices. Manually testing the application’s compatibility across different devices, browsers, and dimensions can be tedious.

Many software companies in the US that make products for healthcare, banking, and retail sectors have slowly started to adopt test automation tools like DevAssure that provide an intuitive low-code interface via which even non-programmers can seamlessly perform cross-browser testing.

5. Managing Test Cases​

Managing test cases for a web application can be complex. An end-to-end test management and automation platform can help software testers maintain all test cases in a single unified platform.

IT companies in the US that serve the e-commerce and retail verticals have started to adopt test automation and management software instead of test automation frameworks. Right from test planning, automation, and execution can be carried out in a single platform. This avoids the hassle of juggling between multiple tools.

6. Integration With Other Tools​

One of the key reasons why US companies are moving toward an AI-powered test automation tool is integration capabilities. Modern test automation tools like DevAssure can seamlessly integrate with tools such as Git, Jira, Figma, CircleCI, Jenkins, etc.

Advantages of Using a Test Automation Tool​

1. Overall QA Cycle Reduction by 50%​

By adopting an AI-powered test automation tool, IT companies in the United States of America are able to reduce the overall QA cycle by nearly 50%. With the help of AI coupled with automation, test case generation, maintenance, and execution can be performed with reduced manpower within a shorter period.

2. Improved Test Coverage​

Automation allows teams to cover:

  • Multiple browsers
  • Multiple devices
  • Large datasets
  • End-to-end flows
  • Regression scenarios

Manual testing cannot match this level of scalability.

3. Consistency & Accuracy​

Automated tests eliminate human error.
Every execution follows the same steps precisely, which improves reliability and repeatability.

4. Cost Savings in the Long Run​

While initial setup requires effort, automation significantly reduces:

  • Manual effort
  • Repetitive tasks
  • QA cycle time
  • Cost per release

Teams get higher ROI with each additional execution.

5. Enables Continuous Testing (CI/CD)​

Modern test automation tools integrate with:

This enables testing on every commit → faster delivery → DevOps alignment.

7. Enhanced Test Reusability​

Reusable components like:

  • Page objects
  • Test steps
  • Test data
  • Workflows

help scale automation across teams.

8. Visual Testing & AI Capabilities (Modern Tools)​

New-age tools (like DevAssure) include:

  • AI self-healing
  • Visual regression
  • Auto-locator healing
  • No-code test creation
  • Intelligent test orchestration

This reduces maintenance and improves accuracy.

9. Parallel Execution & Scalability​

Run tests across:

  • Browsers
  • OS
  • Devices
  • Cloud grids

Parallel testing reduces total execution time drastically.

10. Better Reporting & Analytics​

Automation tools provide:

  • Logs
  • Screenshots
  • Videos
  • Insights
  • Trend analysis

This helps in quicker debugging and decision-making.

The Future of Software Testing in the USA​

As the US tech ecosystem continues to scale at unprecedented speed, QA teams can no longer rely on traditional testing methods that slow down releases and inflate operational costs. AI-powered test automation tools have emerged as a strategic weapon for startups and enterprises alike—enabling faster development cycles, higher accuracy, and dramatic cost reductions.

By combining automation with AI-driven intelligence, companies are not only cutting QA efforts by nearly 50% but also improving product quality, boosting team productivity, and accelerating time-to-market.

In the coming years, US software companies that adopt AI-driven automation will lead the innovation race—shipping more reliable features, reducing deployment risks, and staying ahead of competitive market demands. The future of testing in America is clear: AI is not just an upgrade—it’s the new standard for achieving speed, quality, and cost efficiency.

Frequently Asked Questions (FAQs)​