Efficient software testing plays a crucial role in the digital financial industry, where customer trust relies on reliable systems and smooth user experiences. AI-powered tools are revolutionizing software testing for online banking. Learn how Applitools’ Autonomous Testing Platform, an AI-driven testing solution, can boost efficiency and ensure seamless functionality for digital banking platforms.
AI-Powered Testing for Visual Verification
Modern interfaces are becoming more dynamic, making software testing more challenging than ever. Applitools uses AI-powered end-to-end testing to deliver accurate, human-like visual validation. With this advanced approach, teams can easily detect visual bugs, handle dynamic content, and solve multi-device rendering issues. Compared to traditional testing tools, Applitools’ AI testing solution offers a faster, more reliable way to ensure seamless user experiences across all platforms.
Visual AI “sees” applications as a human would, identifying not just design inconsistencies, but functional issues within complex environments. This human-eye accuracy is especially critical for financial applications, where misdisplayed data or minor UI errors can compromise user trust.
Visual Verification with AI gives QA teams:
- Precise identification of visual bugs, such as misaligned content or missing elements.
- Compatibility across a range of devices, screen sizes, and browsers.
- Reduced false positives, ensuring only actionable defects are flagged.
Challenges in Automated Testing for Financial Apps
Some of the key challenges QA teams face in the financial services industry include testing data-heavy dashboards, personalized user experiences, and meeting strict compliance requirements. QA teams also navigate the complexity of testing constantly changing data, such as account balances and transactions, while ensuring seamless functionality across multiple devices and screen sizes. These unique testing challenges highlight the importance of effective QA processes in delivering reliable, user-friendly financial services.
Adding to these complexities are regulatory requirements, like accessibility compliance mandated by guidelines such as the European Accessibility Act. Traditional tools often fall short in dynamically adapting to such changes, leading to increased bottlenecks.
Common Obstacles Faced by QA Teams:
- Exponential growth in test scenarios due to dynamic UI states.
- Maintaining coverage amid rapid deployment cycles.
- Lacking tools to validate compliance and localization needs.
The Role of Visual AI and Autonomous in Testing
Applitools’ Visual AI is transforming the way teams approach UI testing. Developed with 11 years of research and development, this powerful technology compares both visual elements and DOM structure to deliver comprehensive UI validation. Key features like automated baselining and self-healing tests make maintaining tests easier, especially during frequent code updates or UI changes.
The Autonomous platform takes Visual AI testing to the next level by integrating it with end-to-end test workflows. The platform simplifies visual, functional, API, and accessibility testing. With Autonomous, teams can automate testing, schedule tests, validate results, and efficiently manage issues—all from a user-friendly interface.
Features of Visual AI & Testing with Autonomous:
- Self-healing capabilities to adapt tests to UI updates without manual adjustments.
- Natural language authoring that allows easy collaboration between technical and non-technical team members.
- Supports functional flows like login processes while ensuring personalized data fields meet validation patterns.
Efficiency and Coverage Improvements
A top US bank improved testing efficacy using Applitools Autonomous. By adopting Visual AI and scaling to test its entire ecosystem, the bank achieved:
- 5x Test Coverage Expansion across all devices and browsers.
- 35% More Defects Caught weekly within earlier production stages.
- Up to 999 Hours Saved Per Release by reducing manual test generation and maintenance efforts.
This expansive coverage allowed the team to uncover bugs that would otherwise have been missed, delivering higher-quality software quicker.
Visit the event archive to see more of the case study and watch the full session on-demand.
Security and Integration Features
Data security and adaptiveness in distinct environments are primary concerns in financial testing. The webinar addressed how Applitools ensures client protection with private cloud implementations and a secure architecture for test data management. The platform seamlessly integrates with firewalls and various development ecosystems, making it an ideal choice regardless of organizational infrastructure.
Ensuring Data Privacy and Flexibility:
- Test data secured using encryption and private cloud options.
- Compatible with diverse environments, both behind firewalls and in SaaS architectures.
- Allows scalability without compromising compliance adherence.
Strengthen Financial Application Testing
AI-assisted testing is helping overcome the hurdles posed by traditional testing. By integrating Visual AI with a broad end-to-end testing workflow, financial institutions can drastically enhance their QA practices. More importantly, these improvements do not require trade-offs between coverage, speed, and accuracy.
If you’re ready to elevate your testing game, particularly in high-demand sectors like online banking, platforms like Autonomous present an opportunity you can’t afford to miss.
Explore the full webinar on-demand or reach out to learn how Applitools Autonomous can streamline your QA efforts and ensure the flawless delivery of digital experiences.
