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Case study · Fintech

Release faster without releasing bugs

Fintech teams can't afford regressions, so releases slow down while manual testing catches up. This is how we added QA automation engineers who build regression suites in the client's CI pipeline, so the team releases more often with more confidence.

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Project overview

QA automation engineers embedded in the client's product team.

Industry
Fintech
Client
Confidential
Model
Staff augmentation
Skills
Playwright, API, mobile automation
Ramp-up
2–3 weeks
Team size
1–3 engineers
Integration
The client's CI/CD pipeline
Management
The client's engineering lead
Terms
Monthly

Expected business outcomes

What the client set out to achieve

Measured in release frequency, regression time and escaped defects.

  • 50–80% Less manual regression time

    Critical flows covered by automated tests in CI.

    Target range once core journeys are automated

  • More frequent Releases

    Confidence from automated checks shortens release cycles.

    Measured in the client's deployment history

  • Fewer Escaped defects

    Regressions caught before release.

    Tracked in the client's issue tracker

Business challenges

Where the client started

Manual testing becomes the release bottleneck.

Testing

Manual regression before every release.

Releases

Monthly or less, because testing takes days.

Coverage

Critical payment flows tested by hand.

Developers

Pulled into testing before releases.

Risk

Regulators and customers expect reliability.

Proposed solution

How the engagement works

Automation engineers who build suites the client's team will own.

  • Test strategy

    Risk-based plan: what to automate first and at which level.

  • UI automation

    End-to-end tests for critical journeys with Playwright or Cypress.

  • API tests

    Fast API tests for business rules and integrations.

  • Mobile automation

    Automated tests for iOS and Android apps where needed.

  • CI integration

    Tests run on every change with clear reports.

  • Handover

    Suites maintained with the client's developers so they own them.

Project requirements

What the client asked us for

The request was test automation. The goal is release confidence, so we automate the riskiest journeys first: sign-up, payments, transfers and reconciliation.

Tests must stay reliable; flaky tests are fixed or removed, because a suite nobody trusts is worse than none.

What the project had to deliver

  • 01Riskiest flows automated first
  • 02Tests in CI on every change
  • 03Reliable, non-flaky suites
  • 04Owned by the client's team

Key challenges & considerations

What made it harder, and what we did

  1. Test data for financial scenarios

    What we did

    Test data was built for the financial scenarios, including the edge cases.

  2. Third-party payment sandboxes

    What we did

    Payment sandboxes were wrapped so that tests stayed stable.

  3. Frequent UI changes

    What we did

    Tests were written against stable selectors and the API layer where the interface changed often.

  4. Compliance requirements for test evidence

    What we did

    Test runs produced the evidence the compliance team needed.

What we watched for

  • Automate by risk, not by page
  • Fix flaky tests immediately
  • Invest in test data
  • Hand ownership to the team

Development process

Risk first

Coverage grows from the most critical flows outwards.

  1. Stage 1

    Assessment

    Current testing and release process reviewed.

  2. Stage 2

    Strategy

    Risk-based automation plan agreed.

  3. Stage 3

    Core journeys

    Critical flows automated and running in CI.

  4. Stage 4

    Expansion

    Coverage extended to API and mobile.

  5. Stage 5

    Ownership

    Team trained to maintain and extend suites.

Technology stack

Modern test automation

Tools chosen to fit the client's stack and CI.

UI

  • Playwright
  • Cypress

API

  • REST/GraphQL tests
  • Contract tests

Mobile

  • Appium
  • Detox

CI

  • GitHub Actions
  • Azure DevOps
  • Test reports

Quality assurance & deployment

Held to the client's own standards

Our engineers worked inside the client's team, so quality was measured the client's way: their definition of done, their reviews and their pipelines.

  • The client's definition of done on every ticket
  • Code review on every change, by the client's team and ours
  • Automated tests written with the work, not after it
  • The client's security and access policies followed
  • Delivery reviewed every sprint with the client's lead

Deployment

  • 01ExpansionCoverage extended to API and mobile.
  • 02OwnershipTeam trained to maintain and extend suites.
  • 03Releases through the client's pipelineWork shipped through the client's own CI/CD and release process.
  • 04ContinuityThe same engineers kept on the product, with a monthly review of fit and performance.

Final deliverables

Releases with confidence

Critical journeys are tested automatically on every change, releases happen more often and developers stop spending release weeks testing.

The client's team owns the suites and keeps them growing.

  • Automated regression
  • Tests in CI
  • Faster releases
  • Team-owned suites
Talk about a project like this

Handed over to the client

  • 01Delivered workIn the client's repositories and boards
  • 02DocumentationWritten as the work was done
  • 03Knowledge transferThrough pairing and review
  • 04Monthly reviewsOf delivery and fit
  • 05Flexible termsScale up or down monthly

Success metrics

How success is measured

MeasureOutcomeHow it is measured
Less manual regression time 50–80% Target range once core journeys are automated
Releases More frequent Measured in the client's deployment history
Escaped defects Fewer Tracked in the client's issue tracker

Verified reviews

What clients say about our staff augmentation work

Verified reviews from our clients on the same kind of work, published on Clutch.

5.0 27 verified reviews
See All Testimonials Read All Reviews on Clutch

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