Automation framework setup
We build the automation infrastructure and integrate it with your existing tool set. The scenario writing standard and folder structure are defined from the outset.
We take the regression workload off your team and make release speed permanent through automation.
Request an assessmentTest automation as a service means coding repeatable test cases so software executes them, and running them automatically on every release. We build the automation framework, write the scenarios, connect them to your deployment pipeline and report the results. Maintaining the automation suite is part of the service.
A large share of automation investment stops producing value after setup. As the application changes, scenarios break, the capacity set aside for maintenance falls short, and the suite gradually loses its credibility. Tests go back to being run by hand.
The reason is not tool choice but undefined maintenance ownership. Automation is an asset that requires continuous maintenance. We take that maintenance on as part of the service: scenarios are updated alongside the application, broken tests are repaired within the same cycle, and coverage widens with every release.
We build the automation infrastructure and integrate it with your existing tool set. The scenario writing standard and folder structure are defined from the outset.
We write smoke, sanity and regression scenarios. Which scenarios are automated is determined through execution frequency, fragility and business impact.
We run automation across web, mobile, API and desktop layers. Which layer a validation belongs in is chosen on cost and stability grounds.
We structure scenarios so business teams can read them too. Traceability between requirement and test is built through that structure.
We connect the automation suite to your CI/CD pipeline. Which test suite runs after each build is set out as a rule.
We repair broken scenarios and reflect application changes back into the suite. Maintenance is carried out inside the cycle.
We plan around your release rhythm, manage the operation and improve it in every cycle.
We define scope, test levels and success criteria against your release calendar. Environment and test data requirements are resolved before the work begins.
We take on team, tool and environment management. Progress is reported regularly against defined KPIs.
We run the tests and prioritise the findings. We track closure together with your development teams.
At the end of every cycle we review scope, automation rate and escaped defect rate. The priorities for the next cycle are set from that review.
We run automation with AutoRunner: AI-powered scenario generation, centralised test management and intelligent parallel execution work in one flow. If you want to widen scope from requirements validation through to production monitoring, RabbitQA manages the whole cycle in a single structure. AutoRunner can also be purchased on its own.
When you buy a tool, the capacity to write scenarios, maintain them and interpret results sits inside your organisation. In the service model we carry out that work and you receive the results. Some organisations combine the two: the tool stays with them and we run the operation.
No. We assess the existing suite first. Usable scenarios are kept, broken ones repaired and coverage gaps filled. We only recommend starting over where the maintenance cost of the existing structure exceeds the cost of rewriting it.
Scenarios that run often, remain stable and carry high business impact are suited to automation. Where a scenario runs rarely or changes constantly, the maintenance cost of automation exceeds the gain. We prioritise against all three criteria together.
The first working suite goes live in the first cycle after scope is settled. Exact timing depends on application complexity and environment readiness; we build the timeline together in the assessment conversation.

Complete the form and we will review your current regression suite, your release frequency and your automation rate.