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.

test authoring time reduced: 80%test authoring time reduced
reduction in production escapes for core wire transfer: 90%reduction in production escapes for core wire transfer

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

QA engineers spent 70% of sprint time manually writing and updating Selenium and Appium test scripts for complex banking flows.
Manual test authoring could not keep pace with rapid agile feature releases, resulting in incomplete regression coverage.
Escaped software defects caused checkout and wire transfer failures in production.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

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.

Capabilities this relies on

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