Automating API Testing for a Global AI-Based TaxCompliance Platform

CLIENT OVERVIEW Our client is a leading AI-driven global tax compliance product company. Their platform enables businesses to seamlessly manage sales tax, VAT, and GST compliance across multiple geographies, including North America, Europe, Asia, and Australia-New Zealand. The product is widely adopted by enterprises that require robust, up-to-date, and reliable tax compliance solutions. THE CHALLENGE ● The client’s platform exposes a comprehensive set of APIs

that are integrated by companies to automate their tax

compliance processes.

● Given the fintech nature of the product, reliability and

accuracy are paramount.

● The APIs must support a vast array of tax rules and

regulations, which frequently change across different regions

and jurisdictions.

● Manual testing of these APIs was time-consuming,

error-prone, and could not keep pace with the rapid release

cycles and evolving business logic.

● This posed a risk of bugs slipping into production, potentially

impacting clients’ compliance and financial operations. OUR SOLUTION To address these challenges, we implemented a robust API test

automation framework using Playwright. Our approach included:

● Designing and developing automated test scripts to cover all

critical API endpoints and business scenarios.

● Integrating the automated tests into the CI/CD pipeline to ensure

every code change and feature update is thoroughly validated

before release.

● Enabling rapid regression testing, which significantly reduced the

time required for testing new features or changes in tax logic.

● Providing detailed reporting to quickly identify and resolve issues. RESULTS

Custom HTML Report

Custom HTML Report

Raw Playwright Report

IMPACT By automating the API testing process, the client achieved:

● Faster Release Cycles: Automated tests enabled quicker

validation of new features and updates, allowing the product

team to release changes with confidence and speed.

● Improved Product Quality: Early detection of bugs and

inconsistencies ensured a more robust and reliable product,

critical for fintech compliance solutions.

● Scalability: The automation framework easily scaled to

support new geographies and tax rules as the product

expanded.

● Reduced Manual Effort: The QA team could focus on

exploratory and edge-case testing, while routine checks

were handled automatically