AI test automation
that tracks
requirements, not lines.
Tests generated from structured specs and run continuously in CI, with flake quarantined and fixed rather than tolerated.
Trusted on systems that cannot fail
Certified, accredited and independently reviewed
When to bring in test automation.
Five signals that a suite has outgrown manual upkeep. Where they show up, AI-driven selection, generation and self-healing pay for themselves; where they do not, we will say so.
CI/CD bottlenecks
Testing cycles take longer than the feature work itself, so the choice is slower releases or more risk. Without prioritisation and selection, the pipeline congests behind long-running suites.
Long regression cycles
The regression suite has grown to hours. At that length it stops being a safety net and becomes an expensive way to find defects late.
Coverage that will not scale
Extending coverage means hiring proportionally. Without a multiplier, teams cap their testing ambitions or absorb escalating recruitment costs.
Maintenance eating the sprint
Frequent UI changes and evolving logic break tests every sprint. Repairing brittle locators takes more engineering time than the development did.
Gaps in critical flows
Manually designed tests overlook edge cases. As the system grows, high-risk paths go unverified and production defects become likelier.
Test automation services,
from strategy to CI.
One team, accountable for the whole lifecycle, not a slice of it.
Test strategy
A risk-based plan for what to automate, at which layer, and why.
Spec-to-test generation
Tests derived from structured specs so coverage tracks real requirements.
End-to-end and integration suites
Coverage across the paths that carry the most risk.
CI integration
Suites wired into CI so every change is verified before it merges.
Flake and maintenance reduction
Stable selectors and patterns that keep suites trustworthy over time.
Coverage reporting
Reporting that maps coverage back to requirements, not just to lines.
What AI-driven test automation is worth.
Six gains we hold ourselves to, and report against from the first sprint.
Boosted release velocity
Regression timelines shrink, so software is validated rapidly instead of held up by legacy process.
Optimised QA spend
Script maintenance is automated and triaging flaky results stops consuming budget.
Failsafe operation
Hidden edge cases are addressed before release, not discovered by users in production.
Improved transparency
Pass rate, flaky rate, time to results and MTTA make the value of the investment visible.
In-house expertise
Your engineers master the practice and keep framework ownership, without being locked to a single supplier.
Sustainable stability
Self-healing mechanisms adapt to UI changes, so suites stay resilient without constant repair.
The metrics we rely on.
Four numbers decide whether a suite is worth trusting. We report them from the first sprint, not at the end.
Pass rate
Identifies whether a test failed because of a real defect, a broken script, or an unstable environment.
Flaky rate
Quantifies the impact of flaky tests, so false alarms stop consuming engineering time.
Time to results
Measures the total time from a code commit to a final gate decision.
MTTA
Tracks how quickly a failure is analysed and assigned for a fix.
Spec-driven, AI-assisted
delivery, governed end to end.
AI agents build. Senior engineers hold the gates. The framework that turns AI speed into governed, predictable delivery, from the first call through to support after launch.
- 01
Learns the product
Specs, docs, codebase and tickets read first, so the suite knows how the system should behave.
- 02
Self-healing specs
Tests adapt as the product changes, which removes the flake and the manual upkeep.
- 03
Keeps up with the code
Every pull request and commit watched, and coverage gaps closed as they open.
- 04
Failures you can act on
Regressions triaged with repro steps, session replays and root-cause analysis.
- 05
Governed in CI
Runs on every commit, deploy and environment, with senior engineers holding the gates.
What we build it with.
Chosen for what your team can operate and hire for, not for what is new.
End to end
-
Playwright -
Cypress -
Selenium -
Detox
Unit and integration
-
Jest -
Vitest -
JUnit -
xUnit -
pytest
API and contract
-
REST Assured -
Pact -
k6 -
Postman
CI/CD tools
-
GitHub Actions -
GitLab CI -
Azure DevOps -
Jenkins
Coverage that
tracks requirements
Tests were derived from the same structured specs the build ran on, so coverage mapped to requirements rather than to lines.
Coverage that tracks requirements, generated from the specs the team already writes.
Tests were derived from the same structured specs the build ran on, so coverage mapped to requirements rather than to lines. Suites run on every change, with flake quarantined and fixed rather than tolerated.
How we work together
Every engagement runs on the Agentic SDLC, with senior engineers at every gate.
Test strategy sprint
Decide what to automate and where.
Suite build
Coverage where the risk actually is.
Embedded automation
Continuous coverage as the product moves.
Every engagement starts with an assessment. It is fixed price, it ends in a written plan, and the plan is yours whether or not you continue with us.
Automation or independent QA?
They solve different problems and are often bought as though they were the same thing. The short version: automation is a capability you own, QA is a function that judges.
AI Test Automation
- You want a capability your own team owns and runs.
- The gap is coverage and CI speed, not process.
- Specs exist, or you are ready to write them.
- Engineers will maintain the suite after handover.
You are reading this one.
QA and Testing
- You want an independent function that signs off.
- You need evidence and traceability for buyers or audit.
- Exploratory, usability and performance judgment matters.
- Someone outside the build team should hold the gate.
Most enterprise programmes end up running both: automation inside the delivery loop, independent QA holding the release gate. If you are not sure which to start with, the assessment answers it in a week.
Certified, accredited and independently reviewed
- Built to SOC 2 Type II criteria
- GDPR-compliant processing, DPA available
- NDA and IP assignment as standard
Explore other services
All servicesFrequently asked questions.
Something not covered here? Ask an engineer directly, no SDRs, no funnel.
Does AI write the tests?
It generates them from structured specs, and engineers review them. A test nobody read is not a test.
Will this work on our existing codebase?
Yes. Where there are no specs we start with characterization tests, then move to spec-derived coverage as areas get worked on.
How do you stop flaky tests?
Stable selectors, hermetic test data, a flake budget and a quarantine policy. Flaky tests get fixed or removed, never ignored.
How long until CI is meaningfully green?
Usually a pilot suite in two to four weeks, and a suite the team trusts within a quarter.
Do you hand it over?
Yes, with a maintenance playbook and pairing so your engineers own it.
Let's Work Together
Tell us what you're building. Our engineers will respond within 1 business day with a concrete next step - no sales script, no obligation.
- Email[email protected]
- Phone(+84) 246.276.3566
- Response TimeWithin 1 business day