Dedicated Teams
The release confidence you keep promising yourself next quarter
Testing as an owned function, not the thing that gets cut when a date slips.
Almost every team intends to invest in test automation and almost none get to it, because the coverage work always loses to the feature work. The result is a regression suite that is manual, partial, and run by whoever is least busy — so releases get slower and scarier exactly as the system gets more valuable.
- Releases that stop being events
- Regressions caught on merge rather than by a customer
- A defensible answer when an auditor asks how you test
Capabilities
What the work actually involves
A suite that is somebody's job
A dedicated QA pod owns coverage as its deliverable, so it cannot be traded away for a feature deadline.
Regression automation
The manual pack becomes an automated suite that runs on every merge, starting with the paths that would hurt most if they broke.
Performance and load
Load profiles modelled on your actual peaks — the sale day, the month-end close, the results announcement — rather than a synthetic curve.
Release gating
Explicit, agreed criteria for what blocks a release, so the go/no-go call is a reading rather than an argument.
Coverage reported as a number
Coverage, flake rate, mean time to detect — reported monthly, because unmeasured QA quietly reverts to manual.
Test data and environments
Realistic, masked data and environments that reset to a known state — the two things whose absence makes a suite flaky no matter how well the tests are written.
Accessibility and compatibility testing
WCAG 2.2 AA checks and the browser and device matrix your users actually have, run as part of the suite rather than once before launch.
Deliverables
What you are handed.
Yours to keep, and written so another team could pick them up.
An automated regression suite
Starting with the paths that would hurt most, not with a coverage percentage.
Load profiles from your real peaks
The sale day, the month-end close, the results announcement — not a synthetic curve.
Agreed release gates
What blocks a release, decided in advance, so go/no-go is a reading rather than an argument.
Monthly coverage, flake rate and MTTD
Reported, because unmeasured QA quietly reverts to manual.
We do not publish prices — scope drives them. Everything else, here.
- Starts with
- A fortnight identifying the ten flows that must never break
- Typical duration
- Three-month minimum, usually ongoing
- Who you get
- A QA lead and two to four automation engineers
- Commercial model
- Monthly, thirty days' notice
How to decide
What the answer depends on.
Two sets of conditions. Read both against your own situation — most organisations recognise themselves in one column within a sentence or two.
This is the right call when
- Releases are slow and frightening and getting worse as the system grows.
- The regression pack is manual and run by whoever is least busy.
- An auditor has asked how you test and the answer was uncomfortable.
A different approach fits better when
- The goal is a coverage percentage rather than confidence in a release. That target optimises for the wrong thing.
- No CI to run a suite in — that comes first.
- No appetite for a gate that can block a release.
Before you ask
Questions about dedicated QA & test automation
Sectors
Where this comes up most.
The regulatory context and the systems already in the building change the build. Each sector page says how.
More in Dedicated Teams
Next step
Bring us the problem. We will bring the architecture.
A discovery call takes forty-five minutes. You leave with our read on the problem, the shape of the system we would propose, and a straight answer on whether we are the right team for it.
- No sales deck
- An engineer on the call, not an account manager
- NDA before you share anything