Gen 2.0 AI Assist Framework

BFSI Case Study · Web & API Automation
Gen 2.0 AI Assist Framework

Client Context

Pan-regional bank operating in 32 markets with 8.5M+ customers. Required faster releases and consistent behavior.

Scope

  • Web Applications
  • API Integration
  • 32 Market Variants

Challenges

  • Lagging Automation: Scripts consistently 2-3 sprints behind development
  • Flaky Regression: Inconsistent behavior between Web UI and API layers

AI-Assist Architecture

1

IGS Gen 2.0 Platform

Unified architecture using Playwright with MCP as automation core

2

AI-Driven Generation

AI assist suggests test scenarios and generates skeleton code from requirements

3

Business Function Modelling

Core journeys modeled as functions with formalized stable locator contract

4

Hybrid Orchestration

Seamless integration of existing Karate API suites within web flows

Technology Stack

Gen 2.0 Playwright Karate GitHub Actions ReportPortal

Outcome

60-70%

Drastic reduction in regression execution time across all 32 market variants

Shift Left: In-Sprint

Backlog Eliminated

Mobilization: 4-5 Weeks

To First Pack

Significantly reduced manual regression effort. Automation now runs effectively for feature branches via GitHub Actions