Test Automation
UiPath test automation: regression suites that keep pace with delivery
Automation ships weekly. In most organisations the regression pack that is supposed to catch what breaks is still run by hand, the week before go-live, by people who have other jobs. We build automated test suites on UiPath Test Suite and Test Cloud that run on every release, and stay maintained without a dedicated team behind them.
What we build
Regression suite build from zero
A working automated regression pack for the processes that actually carry risk, not the ones that are easiest to automate. We start from your existing manual test scripts, prioritise by business impact and failure history, and build in waves so you have running coverage in weeks rather than a complete suite in a year.
Manual-to-automated migration
Existing manual packs get audited before they get automated. A significant share of most manual regression packs is duplicated, obsolete, or testing a screen rather than a business outcome. We tell you which tests to retire before we build anything, so you don't automate waste at scale.
Continuous test pipelines
Test execution wired into your CI/CD so suites trigger on deployment, not on someone remembering. Results published where your delivery team already looks — Azure DevOps, Jenkins, GitHub Actions — with failures routed as tickets, not as an email nobody owns.
Suite maintenance and self-healing
The reason automated suites get abandoned is maintenance cost, not build cost. We build with resilient selectors, centralised object repositories, and data-driven cases, so a UI change breaks one definition rather than forty test cases.
Orchestrator monitoring
Test run and pipeline health surfaced through dashboards built on the Orchestrator APIs and Data Service, so failures get seen without someone checking logs manually.
Patterns we build
The suite that rots between releases
A regression pack was automated two years ago by a team that has since moved on. It now fails on forty per cent of runs, nobody knows which failures are real, so the team runs it, ignores it, and tests manually anyway. We triage what still has value, repair the selector layer, retire the dead cases, and hand back a suite with a maintenance model attached — not just a repaired suite that will rot again.
Manual regression compressed into the go-live weekend
Every release ends with a weekend of manual verification, staffed by whoever is available, covering whatever there is time for. Coverage is inversely proportional to schedule pressure, which is exactly backwards. Automating the top-risk paths first turns that weekend into an overnight run with a report waiting on Monday.
Selector drift misdiagnosed as defect
Half the failures in a mature suite are the application changing shape, not the application being wrong. Teams that cannot tell the two apart stop trusting the suite. We build the distinction into the framework — object repository, resilient selectors, and failure classification — so a red result means something.
Coverage you cannot evidence
An auditor, a regulator, or a client asks which business processes are covered and to what depth. The honest answer is a spreadsheet somebody maintained until March. Test Suite links requirements to cases to executions, so coverage is a report rather than a reconstruction.
Test data that does not survive a refresh
Suites that pass in one environment and fail in the next are almost always a test data problem, not a test problem. We build data provisioning into the suite — generated, parameterised, or masked from production — so the pack is portable across environments instead of hardwired to one.
Testing that lags the automation it is meant to verify
RPA ships a change on Tuesday. The regression suite covering that process gets updated whenever the test team has capacity. Because we build both layers, test coverage is scoped in the same engagement as the automation it verifies, rather than funded separately and later.
How an engagement runs
- 1
Assessment
Two weeks. We review the existing pack, the release cadence, the applications in scope, and the failure history. Output is a prioritised backlog with an effort and payback estimate per suite, and an honest view on what should not be automated at all.
- 2
Framework
Object repository, test data strategy, environment configuration, reporting, and CI integration built once, before test case volume starts.
- 3
Waves
Cases built and released in priority order. You have running coverage from the first wave, not at the end.
- 4
Handover
Source, documentation, and a maintenance runbook. Your team can extend the suite without us. That is the point.
Frequently asked questions
Find out what your regression pack is actually costing you
Start with a two-week assessment: what to automate, in what order, and what to retire. The fee is credited in full against a build started within 60 days.
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Whether you have a specific project in mind or want to explore possibilities, reach out — you will hear back from a senior engineer, not a sales team.