Most teams respond by hiring more QA. That fixes the symptom, not the structure. We run your entire QA operation through TestComet, our own testing infrastructure, so coverage keeps pace with your delivery.
As delivery speeds up, QA has to move with it. Manual testing, fragmented tooling, and brittle scripts don’t scale – they fall behind. Coverage drifts. Releases slow down. Confidence drops.
This isn’t a people problem. It’s how QA is structured.
| THE OLD MODEL | THE AI TEST GROUP MODEL |
|---|---|
| Engineers write and maintain test scripts | Test cases written and maintained by our team |
| QA slows releases down | QA runs continuously alongside delivery |
| Coverage degrades as product evolves | Coverage updates automatically as you ship |
| Failures buried in logs no one reads | Failures surfaced with video, logs, and tickets |
We handle the full cycle — every deliverable below is produced by our team and delivered straight into your workflow.
We turn your user stories and acceptance criteria into working, executable test cases. Nothing for your team to write or review before sign-off.
Tests executed across real browsers and devices — Chrome, Safari, Firefox, iOS, Android. Not simulated. Not scripts alone. Real user flows.
Every failure includes video playback, console logs, and network traces — so your engineers can reproduce and fix issues immediately.
Pass rates, failure summaries, trend data, and recommended actions — structured for both engineering teams and stakeholders.
Every failure generates a fully documented ticket, straight into your project management workflow. No manual triage, no duplicate reporting.
Coverage stays current as your product evolves. New features get tested. Broken tests get fixed — continuously, without your team touching it.
No brittle scripts · No manual upkeep · No QA bottlenecks
Most managed services hand you a platform and leave you to it. We don’t. TestComet is our own infrastructure — we built it, we operate it, and we use it to run your entire QA function. You get the outcomes. We handle the system.
You share your requirements. We handle everything else.
We turn your user stories and acceptance criteria into working, executable test cases. Nothing for your team to write or review before sign-off.
Our team writes test cases and sets up coverage across real browsers and devices. No setup required from your side.
Every cycle produces a full report, video recordings, and defect tickets raised directly into your workflow. No manual effort from your side.
As your product evolves, we update your test suite to match. New features get coverage. Broken tests get fixed. Continuously.
What engineering and product leaders see after switching to a managed model.
QA runs alongside delivery, not after it. Sprints close on time because testing isn't the bottleneck holding the release back.
One team is accountable for coverage, execution, and reporting. Not spread across engineers who have other priorities.
No guessing, no assumptions. Every release comes with a clear picture of what was tested, what passed, and what was flagged.
We keep coverage current as your product changes. New features get tested. Broken tests get fixed. Your team touches none of it.
The fit is strongest where releases are expensive to delay, difficult to govern, or too dynamic for manual QA to keep pace.
| ORGANISATION PROFILE | WHY THEY LOOK FOR CHANGE | HOW AI TEST GROUP RESPONDS |
|---|---|---|
| Scaling SaaS teams | Delivery is moving faster than current QA capacity. Manual testing can't keep up with sprint cadence. | AI Test Group adds a managed test function without forcing the team to build a large internal QA org first. |
| Regulated and domain-heavy products | Quality requires traceability, repeatability, and stronger oversight — not just test execution. | AI Test Group combines service discipline with structured reporting to support higher-confidence releases. |
| Engineering teams with brittle automation | Existing scripts are expensive to maintain and fail to keep up with product change. | The operating model shifts effort away from manual maintenance toward reliable execution and reporting. |
| Startups scaling past manual testing | Manual QA worked early. Now shipping too fast for it. Automation needed without the setup cost. | AI Test Group provides immediate coverage without the hiring, tooling decisions, or ongoing maintenance overhead. |
See how we compare against the two most common alternatives.
| Feature |
✦ Best Value
AI Test Group
|
Hiring In-House | QA Wolf |
|---|---|---|---|
| Fully managed end-to-end | ✓ | ✓ | ✓ |
| Live in 10 days | ✓ | ✗ 3+ months | ✗ 4 months |
| Real device coverage | ✓ | Depends | ✓ |
| Globally resourced, UK-led team | ✓ | Maybe | ✗ |
| Security cleared team | ✓ | Unlikely | ✗ |
| Flat monthly fee | ✓ | ✗ Salary + NI | ✗ Per test |
| LLM & RAG pipeline testing | ✓ | ✗ | ✗ |
| Scripts delivered to your repo | ✓ | ✓ | ✗ |
| Cancel anytime | ✓ | ✗ | ✗ |
| 10-day delivery guarantee | ✓ Or you don't pay | ✗ | ✗ |
| Starting from |
£2,495/mo
Flat fee · Cancel anytime
|
£60k+/yr
Salary + NI + benefits
|
$7,500/mo
Per-test pricing
|
No commitment required. 30-minute call.
Managed QA isn’t a fixed subscription. It’s sized around your product, your delivery cadence, and your coverage requirements. Every engagement starts with a 30-minute scoping call.
There are no tiers to pick from. We look at what you’re shipping, how often, and what coverage currently looks like — then tell you exactly what it would cost.
We’ll look at your current setup and come back with exactly what coverage would look like — and what it would cost — under a managed model.
Usually responded to within one business day.
Questions we get asked before every scoping call — answered here so you’re prepared.
You share your requirements — user stories, acceptance criteria, or a recorded walkthrough of your app. We map your critical flows, write the initial test suite, and have automated tests running within 10 days. No lengthy setup calls, no technical configuration required from your team. If we don’t deliver within 10 days, you pay nothing.
Pricing starts from £2,495/month and is scoped to your delivery model — the number of critical flows, your release frequency, and your coverage requirements. There are no per-test charges, no usage limits, and no bill shock as your test suite grows. Every engagement includes a 14-day free pilot and can be cancelled with 30 days notice.
Yes. Every automation script is written as maintainable Playwright code and delivered directly into your repository. You own it entirely — even if you cancel. There is no vendor lock-in. Your tests run independently of our platform and can be maintained by your own team if you ever choose to bring QA in-house.
This is included in your monthly engagement. As your product evolves — new features, UI changes, updated flows — we update your test suite to match. You notify us of significant changes, we handle the rest. No stale scripts, no broken selectors, no maintenance burden on your engineering team.
When a test fails, a defect ticket is raised automatically with full context attached — video recording of the failure, console logs, network traces, and reproduction steps. Tickets are delivered directly into your existing workflow — Jira, GitHub Issues, Linear, or any other tool your team uses. No manual triage required from your side.
We test across Chrome, Firefox, Safari, and real physical iOS and Android devices — not emulators or simulators. We also cover different screen sizes and viewport configurations. The exact coverage matrix is agreed during the scoping call based on your user analytics and product requirements.
TestComet is available as a self-serve platform if you want to run it yourself. The managed QA service is for teams who don’t want the overhead of operating it — we write the tests, run them, interpret the results, raise the defects, and maintain coverage as your product evolves. You get the outcomes without any of the work.
Book a 30-minute scoping call. We’ll look at your current setup and tell you exactly what coverage would look like under a managed model.
Usually responded to within one business day.