Software and Product Engineering

Quality intelligence turned manual testing into confident releases

Playwright automation and Tricentis SeaLights bring continuous coverage intelligence and release readiness to a business critical payments platform.

The Opportunity

A leading global insurance and protection services company relied on manual testing for a business critical payments platform that handles premium collections, billing, claims payments, refunds, and partner settlements.

As the platform evolved, every release required significant manual testing. Teams had limited visibility into whether changes had been fully tested, making it harder to spot gaps early and make confident release decisions. The client needed a faster, more reliable way to test critical payment journeys and understand where release risk remained.

The Transformation

Artizent introduced automated testing with Playwright and added Tricentis SeaLights to provide continuous visibility into test coverage and release risk.

Integrated into the client's Azure DevOps delivery process, the solution automatically tests critical payment journeys, checks that financial data moves correctly through connected systems, and shows teams where additional testing may be needed before a release.

  1. Automated Critical Payment Journeys

    High risk payment, refund, settlement, and failure scenarios that previously required manual testing are now validated automatically, reducing repetitive effort and creating a more consistent testing process.

  2. End to End Transaction Validation

    Testing goes beyond the user interface to confirm that payments, refunds, settlements, and related documents are processed and recorded correctly across connected systems.

  3. Continuous Coverage Intelligence

    Tricentis SeaLights shows teams which areas of the application have been tested after a change and where coverage gaps remain, giving them clearer insight into potential release risk.

  4. Quality Built into Every Release

    Automated tests run as part of the existing delivery process, with results available to development and QA teams immediately. This creates a repeatable quality check before software moves toward production.

Impact
Manual to automated

Critical payment and settlement journeys moved from repetitive manual testing to consistent automated validation

3 layers validated

User journeys, application services, and underlying data are checked together for stronger end to end assurance

3 levels of testing

Smoke, Regression, and Edge testing are built directly into the release process

1 trusted release signal

QA, engineering, and business teams share a consistent view of coverage and release readiness instead of relying on manual judgment

Tech Stack: Playwright (C#), Tricentis SeaLights, Azure DevOps, Swagger, Cosmos DB, Azure Blob Storage
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