WoningNet & QA Company:
building an AI-first future together
From inspiration session to fully automated test pipeline. How WoningNet combined speed and reliability with a well-thought-out AI strategy.
CI/CD test pipeline
on quality
Customer
WoningNet
Sector
Housing market & public services
Service
Agentic QA in an AI-first pipeline
At a time when technological innovation and reliability must go hand in hand, WoningNet, together with QA Company, has taken an important step towards future-proof software quality. With a clear ambition to deploy AI in a responsible and effective manner, an innovative AI-first pipeline has been designed and realised.
From inspiration to implementation
1
Inspiration session & context
The collaboration started with an inspiration session in which QA Company helped WoningNet think about the use of AI in the development pipeline and test automation, and supported them in placing the many ideas within the context of modern software development.
2
Risk-impact analysis with Evaluaite
Following a risk impact analysis based on Evaluaite, QA Company’s model for validating and verifying probabilistic systems, consideration was given to how AI tooling best fits within WoningNet’s quality process. In close collaboration with WoningNet’s QA lead, QA Company designed an entirely new risk-based testing approach for their gen-AI development pipeline. Thanks to the risk analysis, the team can deploy AI tools in a targeted manner.
Within the AI development pipeline, smart tooling and AI agents play a central role in supporting the development team in carrying out testing activities faster, more consistently and more intelligently, without compromising on quality and reliability.
3
Smart tooling, proven choices
During the selection process, AI deep research was used as a pre-selection method. Subsequently, the compiled set of tools was thoroughly evaluated and, following hands-on validation, the tools were selected that best match WoningNet’s environment and ambitions.
An important principle here was the realisation of predictable, stable and reliable regression testing and robust quality assurance throughout the entire development chain. The CI/CD pipeline was largely developed with the aid of AI.
A new way of working with AI agents and AI tooling
In addition to tooling, a new Way of Working was also developed to align with the AI-first approach. Within this working method, AI tools and AI agents play a key role and support the team, among other things, with:
Story refinement
Reviewing and refining user stories
Test case generation
Generating test cases based on risk analysis
Test automation
Converting test cases into test automation
Regression testing
Automatically starting and executing regression tests after deployment
Quality testing
Performing, among others, WCAG, UX, performance and vulnerability testing
Reporting & monitoring
Monitoring test reports, defect management and quality gates
By automating these steps as much as possible within the CI/CD pipeline, an efficient and consistent quality chain is created, in which developers receive feedback more quickly and software quality is structurally safeguarded.
What do our stakeholders say?
With AI, we are now able to generate and maintain applications at high speed. This requires the rest of our CI/CD pipeline to accelerate as well. That is why both testing and service delivery within our organisation are moving towards an AI-first approach. In QA Company, we have found a strong partner to shape this transformation together. Together, we have set up an innovative AI-first testing pipeline in which speed, quality and reliability come together.
What makes this collaboration special for me is the trust that QA Company has built from day one. They combine in-depth expertise with professional and personal guidance. As a result, we were able to take concrete steps in AI adoption with confidence, without compromising on quality. Their pragmatic and responsible approach to applying AI within our QA processes has demonstrably moved us forward.
The collaboration with QA Company gives me confidence that our AI-first development approach can be applied in a controlled and reliable manner. The possibilities for acceleration through AI in software development are widely highlighted, but attention to quality and acceleration in testing lags behind. The way in which QA Company specifically helps us in this area ensures that we can continue to achieve our objectives: developing reliable solutions for home seekers, housing associations and municipalities. This trajectory demonstrates that, with the right expertise, AI can be successfully integrated while simultaneously strengthening the reliability and quality of your IT landscape.
Innovation and reliability
Through this collaboration, WoningNet demonstrates that innovation and reliability go extremely well together. By integrating AI into the development process in a well-considered manner, a scalable and future-proof solution is created that structurally strengthens the quality of software development.
For QA Company, this project underlines the strength of their expertise in AI-driven testing. It demonstrates how organisations can be successfully guided in the transition towards confidently applying AI within their development processes, from strategy to concrete implementation.
Facing a similar challenge?
We'd be happy to help you further
Would you like to modernise your test automation with AI? Get in touch for a no-obligation initial conversation.
Applied expertise
About WoningNet
WoningNet is the largest provider of housing allocation in the Netherlands, managing the assignment of social housing for home seekers, housing associations and municipalities.