Quality Organisation and Operating Architecture Consulting
Contact usWe run our consulting work under two headings. Through organisation strategy we design the place of the quality function inside your organisation, its roles and its governance. Through operating architecture we build the test environments, data management, tool set and automation infrastructure that will make that structure work.
We design quality objectives, the ownership model and the decision mechanisms around your product organisation.
We turn the tool chain, the automation layers and the CI/CD integrations into an architecture you can actually run.
So the structure you design does not stay on paper, we plan the transition and make sure teams take ownership of it.
We design the position of the quality function inside your organisation, its authority boundaries and its decision mechanisms. The choice of model is determined by your release frequency, product count, team structure and regulatory obligations, and we make the design by measuring those four variables.
We determine whether the quality function sits centrally, embedded in product teams, or in a hybrid structure. The decision is made by measuring your current structure and against your target release rhythm.
We define which roles hold test responsibility, defect prioritisation authority and the release approval decision. A defined authority matrix moves quality decisions from personal initiative into corporate process.
We prioritise test coverage by risk level at product and module level. Test depth for each component is set through business impact, rate of change and regulatory obligation.
We determine the metrics to be tracked, the measurement method and the reporting frequency. For each metric we define an action threshold and the decision mechanism that engages once that threshold is crossed.
We build the reporting structure that lets quality status be tracked at management level. Release readiness, open risk items and trend indicators are brought together in a single view.
We build the technical infrastructure required to make the organisational design work. We design the five headings as one connected operating structure rather than five separate projects.
We design the automation framework, the scenario writing standard and the maintenance model. Which scenarios are automated is determined through execution frequency, fragility and business impact.
We define a separate approach for each test layer. We determine the level at which validation is carried out, the mobile device coverage and the performance acceptance thresholds.
We design the integration of tests into the deployment pipeline. Which test runs at which stage, and which result stops a release, are set out as rules.
We determine the number of environments, their purposes and the allocation model. We build a data generation method that delivers the variety scenarios require without using production data.
We assess your existing tool set for usage rate and functional overlap. Manual data transfer between tools is removed through integration.
Both are right in different circumstances. A central model preserves standards and traceability and is advantageous where regulatory load is high. An embedded model shortens the feedback loop and produces faster results in product teams releasing frequently. In most multi-product organisations the right answer is a combination: standards at the centre, execution in the product.
It is a structure that manages the quality standard, the tool set and the methodology from a single point. It makes sense in organisations with several product teams, growing divergence in method between teams and an audit obligation. In single-product or small-team structures it creates an unnecessary layer.
It depends on scope. Organisation strategy on its own is a matter of a few weeks. Operating architecture setup depends on the breadth of scope and the state of the existing infrastructure. We clarify scope and build the timeline together in the assessment conversation.
On the organisation side: the model decision, role and responsibility definitions, a capability matrix and a metric set. On the architecture side: a built and running test infrastructure, integration configuration and an operating guide. In both cases what is delivered is a working structure rather than a document.
Usually not. We first look at how much of the existing tool set is actually used and where it stalls. In most organisations the problem lies not in the tool itself but in the disconnection between tools. We recommend a change only where the existing tool cannot carry the target structure, and always with the reasoning attached.
Because it is where test projects most often stall. Using real data creates regulatory risk, anonymised data does not cover most scenarios, and manually created data does not scale. Synthetic data generation is the one sustainable route between the three, but it has to be designed from the start.
If you want us to, yes. We can take on the running of the structure we design through our managed services model. Consulting remains an independent service, though: taking the design and implementing it with your own team is entirely possible, and some of our clients choose that route.
Complete the form and we will discuss your current team structure, product count and infrastructure position to clarify the scope.
