Manual regression cycles
Every release waits on days of repetitive checks by a QA team or an outsourced vendor — and the cost grows with every feature you ship.
We automate your regression testing inside your existing CI and put a measurable, human-approved quality gate on every release. Start with a fixed-scope pilot on one product stream.
Development speeds up every year. Release confidence usually doesn’t. The bottleneck moves to the last mile — proving that what worked yesterday still works today.
Every release waits on days of repetitive checks by a QA team or an outsourced vendor — and the cost grows with every feature you ship.
Test suites exist, but no one can say which critical user paths are actually covered, which tests are flaky, and what was skipped this time.
The release decision rests on a chat thread and a spreadsheet. When a defect escapes, there is no evidence trail of what was tested and approved.
A fixed-scope engagement on one product stream. We agree the metrics and the success criteria before any work starts, and we report against them weekly.
Measure today: regression cycle time, manual effort per release, critical-path coverage, escaped defects. Pick the stream with the most to gain.
Output: baseline + agreed success criteria
AI agents generate and maintain the regression suite for that stream, integrated into your CI. Your QA leads review every change before it lands.
Output: suite in your repo, running on every build
Each release candidate gets an evidence report and a human approval gate. We compare against the baseline and decide together whether to scale.
Output: measured result + scale decision
Everything we build lives in your repository and keeps working whether or not you continue with us. No proprietary runner, no lock-in.
Built on GateFactory, our GitHub-native delivery platform where AI agents execute and humans approve at defined gate checkpoints.
No test change merges and no release is approved without a named person signing off.
Work runs in your repositories and CI. Access is scoped to the pilot, covered by NDA, and removed at the end.
Every generated test, approval and release decision leaves a trail your auditors and leadership can follow.
Add AI-driven regression and release gates to your own client engagements — delivered under your relationship, with our platform and engineering behind it. Referral and white-label models available.
Available to clients of the QA practice, or on request.
Independent SOC 2 examinations and reports are performed by qualified CPA firms.
Fintegro started in technical recruiting, helping companies expand their engineering teams. We saw the same pattern everywhere: teams grew, but releases didn’t get safer or faster.
Today we build AI-driven delivery and quality automation — grounded in engineering leadership experience and the practical realities of shipping complex software.
Tell us about your product, release cadence and how regression is done today. We’ll come back with a proposed pilot stream, the metrics we’d baseline, and what success would look like.
Your request has been received. We’ll follow up to schedule a discovery call.