Test Automation Using AI

Test Automation Using AI

Transform your Testing with AI-Powered Automation

Talk to our Experts

Automating businesses today has become an integral part of growth for enterprises. At Tx, we have developed AI-based test automation frameworks like Tx-Automate and analytics-based reporting dashboards like Tx-Insights. It uses AI/ML algorithms and intelligent automation to generate test automation code, build manual test cases from user stories, generate insightful analytics in dashboard, and make the test processes faster and smarter.

The need for Test Automation
using AI

  • Increased test life cycle 
  • Complexity of Modern Applications
  • High Frequency of Releases
  • Continuous Improvement
  • Improved Accuracy and Consistency
  • Enhanced Test Coverage
  • Efficient Resource Utilization
  • Rapid Feedback Loop
  • Self-Healing Tests
  • Cost Savings
  • Scalability Issues
need for Test Automation using AI

Business Benefits

Get In Touch
  • Reduced Time to Market
  • Improved Software Quality
  • Cost Efficiency
  • Enhanced Test Coverage
  • Better Resource Allocation
  • Increased Productivity
  • Improved Scalability
  • Faster Feedback Loop
  • Reduced Human Error
  • Data-Driven Insights

Why Choose Tx?

Automated Code Generation
Automated Code Generation

Tx-Automate, our in-house accelerator, as an AI engine analyzes the manual test cases and generates test scripts automatically, supporting multiple programming languages including Java, C#, JavaScript, and Python. Using AI, it specifically reduces automation development effort, enhances accuracy, and significantly accelerates the scripting process.

DevOps
Manual Test Case Generation

Tx-Automate generates manual test cases, examining the user stories and expanding them into human-readable test cases. This feature aids in ensuring detailed test coverage and encourages collaboration between manual and automation testing teams. 

software testing and QA testingxperts
Advanced Error Resolution using AI Reporting

Leveraging AI algorithms, Tx-Automate provides intelligent insights and suggestions for issue resolution by analyzing test reports. It identifies patterns, root causes, and potential solutions, thereby expediting the debugging and issue resolution process.

API and Microservices Testing practice
Manual Test Case Generation using Tx-GPT

We use AI to generate manual test cases from requirements and user stories, ensuring thorough coverage and enhancing collaboration between development and QA teams.

Next-gen Tools and Technologies
Integration with Third-Party Tools

We help businesses integrate with third-party tools like test management, defect management, CI integration, cloud service providers and code quality and code coverage analysis tools. 

automation testing using AI

How Tx Stands Out in Offering Test Automation Using AI

Invested in R&D for decades, and being an innovation-based organization, our TCoE has developed modular, integrated, compatible and reusable test automation assets. Tx-Automate integrates into your delivery pipelines seamlessly, delivering significant scripting effort savings.

Our team of experts help you transform your digital assurance process with Tx-Automate, featuring AI-Powered automated code generation in Java, C#, JavaScript, and Python, saving costs and delivering effective automated test results.

Speak to an expert

In your line of work, we know every minute matters.


    Recent Insights

    March 3, 2026

    BLOG

    Risks of Generative AI: What Businesses Must Know

    The blog explores how Generative AI can significantly enhance business operations, offering benefits like process scaling and customer insights. However, businesses must be aware of their risks, including AI bias, deepfakes, toxic content, hallucinations, and privacy concerns. These challenges can harm reputation, security, and compliance. Learn how to assess and mitigate these risks effectively, safeguarding your business while leveraging AI to drive innovation and growth.

    Read More

    March 2, 2026

    BLOG

    Scaling Quality with SIL Testing: How Leading Teams De-Risk Embedded Software Early

    Read More

    February 24, 2026

    BLOG

    Quality Engineering for Generative AI: Building Trust and Reliability at Enterprise Scale

    Non-deterministic outputs, opaque model logic, high compute costs, and evolving compliance demands make traditional testing insufficient for GenAI applications. This blog breaks down the biggest GenAI testing challenges. It outlines modern quality engineering practices, evaluation metrics, observability, ethical audits, stress testing, and human-in-the-loop methods for building trustworthy AI at scale.

    Read More

    February 23, 2026

    BLOG

    Engineer Trust at Every Touchpoint: Intelligent Automation for Phygital Ecosystem

    As physical and digital systems integrate, quality failures directly impact revenue and brand trust. This blog explores how intelligent test automation validates complex phygital interactions, reduces integration risk, and accelerates enterprise innovation. Learn the strategic pillars and roadmap leaders need to turn QA into a competitive advantage.

    Read More

    February 17, 2026

    BLOG

    Engineering Reliable eCommerce Experiences with Intelligent End-to-End Testing

    The blog discusses why end-to-end testing is critical for building scalable digital commerce platforms. It validates complete user journeys, integrations, and data flow across systems. This blog also explains key challenges in eCommerce testing, how E2E testing improves reliability, and why continuous, automated testing is essential for handling peak demand and delivering consistent customer experiences.

    Read More