Who owns quality at your company? If that took a moment, start here. One partner, the whole lifecycle.
Most organisations do not have a testing problem. They have six of them, spread across four suppliers, with nobody accountable for the whole. Sandhata covers the full lifecycle: the test strategy nobody has written, the governance nobody is enforcing, the automation nobody is maintaining, the environments that keep going missing, and the team to run all of it once it works. Strategy and governance at one end, AI-powered automation at the other, and a single partner across everything in between.
Fast cars do not win races. Fast cars with brakes you trust do.
Every engineering leader we meet wants to ship more often, and almost none of them are held back by how quickly their developers write code. They are held back by what happens after code complete. A regression suite nobody fully trusts. Environments that go missing at the worst possible moment. Test data that is either too old to be useful or too sensitive to touch. And a go/no-go meeting where twenty people read each other’s faces because the honest answer is that nobody knows. Sandhata rebuilds that entire stretch of the pipeline. Not so you can test more, but so you can stop treating every release as an event.
Rebuilding the Part of Delivery Nobody Shows You
Sandhata’s Quality Engineering services span six capability areas, from advisory through to hands-on delivery. We do not arrive with a rebuild proposal. We start by measuring what quality is costing you today, then fix the constraint that returns the most. In our experience it sits in one of these three places.
1
Automation That Maintains Itself
Most automation estates quietly become the thing they were bought to replace. A developer renames a button, forty tests fail, and your engineers spend the sprint repairing tooling instead of finding defects. Our Playwright-based framework is built to absorb change rather than break on it, with AI generating tests from your requirements and self-healing locators that repair themselves before they cause a failure. Teams reach a first running test in under four hours and cut around 60 percent of setup effort on every project.
2
Environments and Data That Stop Blocking You
This is the bottleneck nobody owns and nobody reports. Environments unavailable, dependencies not ready, data too old or too sensitive to use. Delivery slips and the real cause never reaches the status report. We fix it with service virtualisation that simulates the systems you are waiting on, plus test data that is masked, refreshed and provisioned on demand. On one real-time payments platform, 200 virtual services kept testing always on and lifted delivery capacity from roughly 100 to 1,000 changes a month.
3
The Strategy Up Front, and the Team to Run It
Two ends of the same problem. Most organisations know something is wrong long before they know what to fix, and once they do know, they lack the people to sustain it. We cover both ends. Come to us for the assessment and the operating model, or for the team that runs quality day to day. Many clients start with the first and stay for the second.
Proof We Deliver
An enterprise order platform was running roughly 12,000 manual test cases on every two-week release across more than 3,000 order flows. We automated it in Playwright with AI-assisted test generation and wired it into their existing CI/CD pipelines. Manual testing effort fell by 95 percent, testing velocity rose fourfold, and every release now ships with 100 percent automated regression coverage. Elsewhere, a release redesign took a portfolio of more than 50 applications from 4 releases a year to 22, and a payments platform saved £3.3m annually while lifting change throughput tenfold. Different problems, same pattern. Measure first, fix the real constraint, then scale what worked.
Frequently Asked Questions
We already have test automation. Why would we need you?
Most organisations we meet already have automation, and coverage is usually rising. The number that has not moved is release frequency. That gap almost always comes down to three things: the suite runs beside the pipeline rather than inside it, maintenance quietly eats the time savings, and every team has built its own framework so nothing is reusable. We baseline all three before recommending anything, and often the answer is rationalising what you own rather than replacing it.
Why Playwright, and what happens to the tools we already own?
Playwright gives us genuine cross-browser coverage, built-in parallelism, native API testing and smart waiting, which removes most of the common causes of flaky tests. That said, we are technology agnostic and we start by rationalising what is already in place. Our framework integrates with your existing CI/CD, observability and defect tooling. Replacing everything is rarely the fastest route to value, and we will say so when it is not.
Where does AI genuinely help, and where is it oversold?
AI earns its place in three concrete ways: generating tests from requirements and user stories, healing locators when the UI changes, and flagging failure patterns before they compound. What it will not do is fix a fragmented estate. Point a generation model at four inconsistent frameworks and you get four times the tests and four times the debt. Standardise, then govern, then accelerate. In that order, or the investment works against you.
How do you prove it is working?
With six numbers, agreed before we start and reported throughout: test pass rate at or above 95 percent, flaky rate under 2 percent, onboarding to a first running test in under four hours, boilerplate reduction of around 60 percent, execution time deviation within 10 percent, and 100 percent CI integration coverage. We capture your baseline before changing anything, because that is the only way an improvement can be argued rather than asserted.
How small can we start?
Very small. Most of our engagements begin with a two-week assessment or a single pilot project, and several started with a handful of onshore roles. We would rather be judged on two weeks of real work than on a document. From there you can scale into managed quality services, a dedicated delivery team or a Quality Centre of Excellence, entirely at the pace your risk appetite allows.
Basically, we take your releases from “fingers crossed” to “ship it”.
Quality advisory and governance, functional and non-functional testing, automation and DevSecOps, environments and test data, release management, and managed quality services. Whichever part is hurting most, that is where we start.