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Fintech company

200 cases automated

An existing QA team cleared its automation backlog in a few months. Regression went from one week to two days.

Existing cases automated
200
Identified backlog completed
100%
Previous regression
1 week
Regression after automation
2 days

The starting problem

A QA team supporting a complex fintech product had test cases ready but no time to automate them. The backlog had reached 200 cases, while regression consumed a week.

What changed

  1. Used the 200 existing cases as the defined automation backlog.
  2. Automated the entire identified backlog over a few months.
  3. Enabled those cases to run automatically while the QA team continued supporting product delivery.
Once the 200 pending cases were automated, regression stopped consuming a full week and completed in two days, even across a complex project.

Project outcome summary

Scope of the result

100% refers to the 200 cases in the identified backlog, not 100% of the product. The regression figures are the reported before-and-after duration for this project; a separate effort-hours breakdown is not published.

The backlog was completed in a few months. Exact dates and pipeline configuration have not been published.

What to take from this case

A defined backlog gives an automation engagement a concrete scope and a clear completion target.

These are project-specific outcomes, not forecasts for a new engagement. Your baseline and acceptance criteria are agreed separately.

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