FinTechTest AutomationAPI TestingCI/CD

The FinTech platform that stopped fearing Fridays.

A three-day manual regression cycle had become the bottleneck on every release. We compressed it to four hours with a Playwright suite wired into CI — and the platform shipped nine months with zero escaped P1 defects.

IndustryFinTech · payments
RegionUnited States
EngagementContinuous · 18 months
ServicesAutomation · API
▲ SAMPLE CASE STUDY — anonymized illustrative engagement. Replace with a verified client story, named (with permission) and real metrics, before publishing.
regression cycle · from 3 days
critical flows automated
escaped P1s in 9 months

the challenge

Every release was a three-day held breath.

This payments platform shipped real money movement, so nothing went out without a full regression pass. That pass was manual, three days long, and run by engineers who were needed elsewhere. Under deadline pressure it got compressed or skipped — and that's exactly when defects slipped through.

  • Regression took three full days, so it became the release bottleneck
  • Under pressure, coverage got quietly cut — right when risk was highest
  • A few escaped defects in payment flows had already cost real trust
  • No one could answer "what's actually covered?" with confidence

what we did

A suite in their repo, a gate in their pipeline.

Mapped risk before writing a line

We ranked every user flow by revenue-and-risk and audited the thin existing tests, then chose Playwright against their stack — documented, so it survived engineering scrutiny.

→ artifact: risk-ranked flow map + framework decision doc

Automated the 42 flows that mattered

Senior engineers built the suite inside their repository, following their conventions, reviewed through their own PR process — page objects, fixtures, the lot.

→ artifact: 42 critical flows automated & merged

Wired it into CI as a gate

PR smoke checks on every pull request, full nightly regression, results in Slack before standup — failures triaged by us, not their developers.

→ artifact: GitHub Actions gates + Slack reporting

Held the line with a flake budget

Flaky tests quarantined within 24 hours, root-caused, fixed or deleted — so the suite stayed trusted instead of becoming noise everyone ignored.

→ artifact: enforced flake budget + weekly stability report

the result

Defects stopped escaping. Watch the gap close.

Before automation, defects were found after release — by users, in production. After the CI gate went live, they were caught before merge. This is escaped defects per release, month by month, as coverage grew:

escaped-defects.chart — 12 months● before● after gate

SAMPLE TREND — illustrative shape; replace with the client's real defect-escape data.

Since partnering with QACraft, our software quality has improved dramatically — defect rates dropped and our release cycles are faster than ever.
JP
Jason Peter · Toronto, Canada
platform quality engagement

services used

What made this engagement work.

The combination that delivered this outcome — each links to how we run it:

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