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Finance software testing
When it's essential for software to be as reliable as data
In the financial sector, poor software quality isn’t just a technical liability. It shows up on the balance sheet. Every transaction must work, and so must every release. A comprehensive framework for testing, integration, and analysis ensures predictable quality.

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One enterprise platform for integration and continuous testing

In today's rapidly evolving technology landscape, banks, insurance companies, and other financial institutions face the ongoing challenge of meeting rising customer expectations, complying with strict regulations, and managing risks within a complex ecosystem. Rather than relying on isolated quality assurance measures, what's needed is a culture of continuous testing. Only then can digital experiences be created that truly convince customers — while keeping risk to a minimum.

Our platform supports this with an end‑to‑end, unified framework for quality management. It integrates automated testing and advanced analytics across applications, devices, and network layers. This enables financial companies to continuously safeguard functionality, performance, and security across the entire delivery chain — boosting operational efficiency and accelerating digital transformation.


Continuous integration and testing — seamless and simplified

Test report and coverage


All test reports are stored in a database. With extensive filter and evaluation options, the database helps users to quickly identify relevant reports.

Teams can:
  • collaborate on results and reevaluations
  • share reports via link or subscription
  • directly create new issues in their tracking system or link to existing ones
  • get an overview of test case coverage with requirements import from their ALM system

This ensures that no important results are overlooked. The central collection of all test data provides the ideal foundation for collaboration and AI-driven data evaluations.

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Quality-Gates and Staging


Staging facilitates collaborative work across departmental boundaries.
Different Quality-Gate types ensure collaboration, regardless of whether teams prefer a manual quality assurance approach or rely on fully automated testing. Quality Gates can be shared between different projects, such as sub‑processes, teams, or stages.

This approach makes it possible to work independently on individual projects while still sharing important information across interfaces, making dependencies and the entire process visible to users.

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Integrated process automation


New software versions should be integrated and tested quickly. To accomplish this, it is crucial to automatically grant approvals as soon as defined quality targets are met — thereby supporting collaboration.
With the automation flow.kit complete business processes can be modeled and automated. Including interfaces to ALMs, LLMs and other surrounding systems, cumbersome data exports or manual triggering of further process steps are things of the past.

It is possible to pass artifacts on to other teams, inform colleagues via email, start the next stage tests if a quality gate is passed successfully or automatically export results to your ALM systems, once full test coverage is reached.

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Do not only automate testing. Automate the integration of your innovation into your ecosystem!

Report management

Aggregation and visualization of test results across all development phases. Direct linking of requirements, tests, and reports with ALM systems for seamless traceability. Flexible export and reporting options for compliance reports and audits.

Test orchestration

In scaled setups with many different test environments, it is important that resources are used efficiently. Test plans should therefore be executed in parallel and distributed as much as possible to save time.

Defect ticket creation

Issues for bugs found can easily be created based on templates. New results can be linked with to existing issues. And therefore, hundreds of failed results can be drilled down to few important issues.

data.app agent

data.app agent  democratizes access to complex test data analysis. It acts as an intelligent interface between raw technical data and decision‑critical information. Speak to your agent to gain insights. No code and little data analytics skills required.

Collaboration (flow.kit)

Build custom test-process automations using simple blocks with the flow.kit. These user-defined workflows are started by events that can originate inside one:cx (e.g. a new artifact upload) or outside the platform (e.g. a status change in Jira via webhook).

Connect and scale

Connected to testing pipelines, ALMs, LLMs and every tool in your daily business life one:cx drives value. The one:cx base layer ensures a smooth operation inside your organization to whatever extent your one:cx solutions scales, from team members to the whole organization.

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