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Test automation for business-critical systems

Reliable releases. Traceable quality. Less risk in operations.

The reality in many projects

The tests run. But the confidence is missing.

Many organizations have already invested in test automation.
Frameworks are in place, tests exist, reports are generated.

And yet, before every release, the same situation keeps coming up:

  • Coordination meetings pile up
  • Business departments ask questions
  • Uncertainty remains

Not because there are no tests — but because no one can say with confidence what they actually cover.

Our solution

Test automation that works in everyday project life

We don't start with tools, but with the questions that really matter in projects: which processes are business-critical, where do real risks arise, and which tests deliver genuine value? Only on this basis does test automation emerge that doesn't just work technically, but reliably holds up in everyday project life.

BDD & Gherkin

We rely on Behavior Driven Development (BDD) with Gherkin syntax to map business requirements directly into test scenarios. This creates end-to-end traceability between business logic, requirements, and automated tests.

โœ“ Business requirements directly testable
โœ“ Clear traceability
โœ“ Shared understanding

Screenplay Pattern

By using the Screenplay Pattern, we cleanly separate test logic, interactions, and business workflows. This enables modular, reusable test components and reduces maintenance and adaptation effort in the long run.

โœ“ Modular structure
โœ“ High reusability
โœ“ Low maintenance effort

Continuous Testing

Test automation is fully integrated into CI/CD pipelines (e.g., via build triggers, automated test runs, and artifact generation). This turns quality assurance into a continuous process across the entire delivery pipeline.

โœ“ Tests on every build
โœ“ Early error detection
โœ“ Seamless integration

Reporting & Traceability

With structured reporting (e.g., Serenity Reports), test results become traceable and requirements are clearly mapped. This creates audit-readiness and enables sound decisions based on reproducible results.

โœ“ Clear result mapping
โœ“ Auditable tests
โœ“ Solid basis for decisions

Test Automation as a Service

Test automation is treated as an ongoing part of operations and actively developed further. Through clear role models, versioning, and infrastructure integration, the setup stays stable and scalable even as complexity grows.

โœ“ Continuous operation
โœ“ Scalable setup
โœ“ Clear responsibilities

Test automation that holds up when it matters most

Whitepaper: Decision confidence in business-critical systems

Test automation is well established — yet before release, the decisive confidence is often missing.
This whitepaper shows how test automation becomes a reliable basis for decisions.
Practical, structured, and based on real enterprise projects.

For anyone who no longer wants to build releases on uncertainty.

Stability, transparency, and decision confidence

When quality becomes a reliable basis for decisions

The result is more than working test automation:
it creates a reliable foundation for quality, stability, and sound decisions.

  • Critical processes reliably secured
  • Clear, traceable test results
  • Confident release decisions
  • Scalable, maintainable architecture
  • Integrated into processes
  • Compliance from day one

The result is test automation you can rely on when it matters most.

Frequently asked questions about test automation

Everything decision-makers and IT want to know about our test automation — concise, clear, and technically sound.

We already have test automation -- why does it still feel uncertain?

We see this very often.
In many projects, tests exist — but they don’t provide a clear basis for decisions.

Typical reasons:

  • Tests are technically sound but not understandable from a business perspective
  • it’s unclear which processes are actually covered
  • results are hard to interpret

This is exactly where we start: we make sure test automation becomes understandable, attributable, and robust.

How do I find out whether our current test automation is actually "good"?

The decisive question isn’t how many tests exist — it’s:
Can you confidently approve a release today based on the tests?

If the answer isn’t a clear “yes,” what’s usually missing is:

  • a clear structure
  • a business-level connection
  • or transparency in the results

We help assess and make exactly that visible, objectively.

Can we even meaningfully introduce this in an ongoing project -- without rebuilding everything?

Yes — and in practice, that’s actually the normal case.
We don’t work by “starting from scratch,” but by:

  • joining existing projects
  • using existing structures
  • building on them step by step

The goal isn’t perfection — it’s noticeable improvement in live operations.

How do I know test automation is actually adding value -- and not just creating overhead?

A clear indicator is:
Less coordination before releases — more clear decisions

If instead you see:

  • lots of meetings before go-live
  • uncertainty despite reports
  • discussions instead of decisions

…then the real value is missing.
Good test automation reduces exactly this friction.

Honestly -- do we really need test automation?

If quality, releases, and stability already work reliably: probably not right away.

But if:

  • uncertainty exists before releases
  • coordination is increasing
  • or errors are becoming costly

…then now is exactly the right time to approach it in a structured way.

What is Gherkin syntax (BDD) and why is it used in test automation?

Gherkin is a structured, easy-to-understand language for describing test scenarios in test automation.
It’s based on the Behavior-Driven Development (BDD) approach and uses a clear syntax with the keywords:

  • Given (starting situation)
  • When (action)
  • Then (expected result)

This format makes it possible to define requirements and tests in a shared language — understandable for business, IT, and quality assurance alike.

Using Gherkin offers several advantages:

  • Tests are understandable from a business perspective, not just technically implemented
  • Requirements and test cases are directly linked
  • Results are auditable and clearly documented
  • Misunderstandings between business and IT are reduced

Especially in complex or regulated systems landscapes (e.g., public authorities, insurance, or healthcare), this approach ensures that test automation doesn’t operate in isolation, but can be used as a reliable basis for decisions.

In practice, it turns out:
The real value doesn’t come from the syntax itself, but from building tests that are structured, understandable, and maintainable in the long run.

Want more information or a tailored offer?

Use our contact form and we'll be happy to respond to your request individually.