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Wayam AI
Financial ServicesEngineeringRepresentative scenario

Autonomous End-to-End Regression Test Authoring for Core Banking Applications

A commercial retail bank updating its core banking web portal and mobile banking applications across bi-weekly release cycles.

Run on Parikshan · Software Delivery & Quality

A long test path assembling itself plate by plate across a core system

The challenge

    01

    QA engineers spent 70% of sprint time manually writing and updating Selenium and Appium test scripts for complex banking flows.

    02

    Manual test authoring could not keep pace with rapid agile feature releases, resulting in incomplete regression coverage.

    03

    Escaped software defects caused checkout and wire transfer failures in production.

How Parikshan solves it

    01

    User Story & Spec-to-Test Generation

    Parikshan ingests Jira user stories, API specs, and Figma design files, automatically generating comprehensive end-to-end test scenarios.

    02

    Autonomous Script Generation

    Produces clean, maintainable Playwright/Cypress automation scripts without manual coding.

    03

    Edge Case & Boundary Auto-Discovery

    Discovers non-obvious negative test paths (e.g., concurrent session timeouts, invalid currency characters).

    04

    Continuous Execution Pipeline Integration

    Wires generated test suites directly into GitHub Actions / Jenkins CI/CD pipelines.

    05

    Automated Defect Documentation

    Generates detailed Jira bug reports complete with DOM snapshots, console logs, and step-by-step reproduction scripts upon test failure.

The outcome

test authoring time reduced
0%test authoring time reduced
reduction in production escapes for core wire transfer
0%reduction in production escapes for core wire transfer
  • Test authoring time reduced by 80%, enabling 100% automated regression coverage prior to release.

  • 90% reduction in production escapes for core wire transfer and online banking modules.

  • Accelerated sprint release cadence from bi-weekly to daily reliable deployments.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

Bring us the version of this that you actually have.

Every engagement is fixed-scope and outcome-guaranteed. The scoping conversation starts with your systems, not with a template.