Case Studies
Four Engagements, With the Numbers on the Page.
Not gated, and not a PDF you trade an email for. We do not publish client names. Most of our agreements prohibit it, and we hold the same line on the ones that don't. What we publish instead is the sector, the system, the method, and the numbers, plus three ways to check any of it that don't depend on us.
Replacing a Legacy CRM Without Pausing Diagnostic Throughput
The client was migrating from a legacy CRM to Salesforce while running a live diagnostic business. Manual testing was consuming the team and gating every release.
We placed subject-matter experts alongside the client's team to lead a larger offsite group, developed over 3,000 test cases against defined business requirements, moved the programme to Agile for coverage and Dev–QA collaboration, and automated the manual work the legacy platform had required.
A Largely Manual QA Cycle Rebuilt as AI-augmented Automation
Regression was manual, slow, and the binding constraint on release frequency. Coverage claims were high; confidence was not.
We rebuilt the suite as pipeline-native automation with app scanning and self-healing so it would survive the rate of change rather than degrade against it and re-pointed coverage at the failure modes their incident history actually showed.
Validation Scaled to a Development Team That Had Already Accelerated Past It
Development throughput had risen and verification had not. The team was absorbing the difference by quietly reducing depth — the pattern that precedes a rise in escaped defects.
We rebuilt validation capacity around the current change volume rather than the historical one, then reported throughput and rework into the client's own engineering dashboard so the improvement was visible without a status deck.
A Third More Delivery Without Adding a Single Person
The client had no headcount to give. The gain came entirely from changing where verification effort was spent—automating the repetitive base, freeing experienced engineers for the judgement-heavy work.
This is the engagement shape we now see most often, because it is the only one that fits a flat or falling budget.
How to verify without names
Three checks that don't depend on us.
A logo wall proves a contract was signed. It does not prove the work was good. These do more.
Independent Reviews
Seventeen reviews verified by a third party, averaging 4.8 of 5. Reviewers are attributed by role and sector rather than by employer.
Reference Calls
At proposal stage, under NDA, we introduce you directly to a client in your sector. You ask whatever you want. We are not on the call.
Our Own Reporting
Within thirty days of starting, our engineers' throughput, rework, and adoption numbers sit in your dashboard beside your team's. Claims stop being claims and become observable.
Reported by a public-safety software client who moved QA earlier into their process.
Across twenty-five years. The number we watch most closely, because it is the one we cannot market our way to.
Public and third-party maintained. We cannot edit it, which is the point.