Test Automation

Software testing, automated end to end. The origin of the practice.

Test Automation is where Qsome began. A decade of software testing turned into test automation, then into agentic context generation. It's the discipline that holds the rest of our work to standard.

What we do here

The diagnosis

Most automation
suites die
before the
application does.

Tools change. Apps evolve. Test suites that don't evolve with them quietly rot. Within a year, half are flaky. Within two, the team is back to manual regression with a layer of automation maintenance on top. The work doubled, instead of halving.

The fix isn't another tool. It's a different stance: design the suite for the team that owns it, build resilience as a property of the system, and treat QA as an organisation, not just a budget line.

Suites should be assets, not liabilities.
Reliability is engineered through adaptability and self-healing, not asserted at launch.
QA organisations need design, not just tooling.

What we do here

Four sub-capabilities,
layered.

Each one stands alone in a focused engagement. Most clients arrive with one of these problems and discover, in Discovery, that they need two or three.

Test strategy & diagnosis

Where the engagement starts. We assess what testing protects in your operation, what risks it doesn't see, and where automation earns its place. A six-week sprint that often saves the next twelve months.

Reliable automation

Suites engineered for reliability through adaptability and self-healing. Designed for the team that will own them, not the consultancy that wrote them.

Agentic context generation

Agents that read application behaviour and generate test context as the app evolves. Less brittle than fixed scripts. Closer to how a thoughtful human tester actually works.

QA organisation design

Tooling is the easy part. The harder part is the team shape, the cadence, the standards, the ownership. We help design QA organisations that scale past the tooling decision.

How we work here

Same four phases.
Applied to testing.

The Discovery, Design, Build, Run shape doesn't change. What changes is what the diagnosis asks about, what the design produces, and what the run looks like when testing is the area.

01DIAGNOSE

Discovery

What testing protects in your operation. What it doesn't. Where the team is breaking today. What 'good' looks like in your context, not a generic maturity model.

02PRESCRIBE

Design

Pyramid shape, tooling choices, ownership boundaries, governance. Designed to be owned by your team on day one of build. We hand over a plan, not a black box.

03ASSEMBLE

Build

The suites themselves, in your stack, with your data. Agentic context generation where scripts won't survive. Deterministic suites where they should. Tested by the people who built the tests.

04PARTNER

Run

We stay. Tuning, expansion, capability building. The point is that within twelve months your team runs the practice without us. We measure that.

What we measure

Three signals
that matter to most clients.

What we measure differs by engagement. These three carry weight in nearly every one.

Suite stability past 12 months

What share of your suite still runs, unchanged, twelve months after deployment. The number that tells you whether automation became an asset or a liability.

Defect leakage to production

Defects that escape testing and land in production. The number that matters to the customer, not the testing team.

Maintenance to feature-test ratio

Hours spent maintaining the existing suite versus hours spent writing new tests for new features. A telltale of suite design.

Often paired with

Enterprise Automation

Test Automation and Enterprise Automation often sit in the same engagement. The two areas share the orchestrator, the team, and the discovery. If your problem doesn't end at the application boundary, you may be looking for both.

Read the area

Start with a diagnosis

Tell us what's stuck.

We'll tell you whether testing is the answer, and if so, where to begin. Honest answers, inside one working day.