Executive Summary
A leading compliance platform in the financial services industry modernized its regression testing process by adopting an AI-powered test automation framework. PalTech’s QA team enabled a smooth transition from manual, time-intensive testing to an intelligent, scalable solution using CursorAI, Playwright, and MCP Server. This shift accelerated test creation, minimized maintenance, expanded coverage, and improved release velocity—without increasing QA headcount.
Business Problem
The platform’s internal web application involved complex workflows such as dynamic configurations, user bookings, and financial reporting. Each release required rigorous testing to ensure stability. However, the QA function faced several roadblocks:
- Manual regression cycles were repetitive and time-consuming
- Frequent UI changes demanded constant updates to test scripts
- Resource limitations restricted test coverage
- Test creation required significant manual coding, slowing delivery
There was a growing need for a scalable, intelligent automation approach to keep up with rapid development and ensure continuous product quality.
Solutions Implemented:
To overcome these challenges, the PalTech QA team implemented a future-ready automation framework consisting of:
- CursorAI to convert natural language scenarios into automation scripts
- Playwright as the automation engine for modern, cross-browser testing
- MCP Server for orchestrating, managing, and scheduling test executions at scale
Automation Approach:
- Regression scenarios like booking workflows, configuration testing, and financial report validations were authored in plain English and auto-converted by CursorAI
- Test executions were scaled using MCP Server, enabling parallel runs across environments
- AI-powered selectors adapted automatically to UI changes, reducing breakages and manual fixes
Technology Stack
