Manage cookies
We use essential cookies to run the site and, with your consent, analytics and marketing cookies. Cookie Policy
Manage cookies
Cookie Settings
Cookies necessary for the correct operation of the site are always enabled.
Other cookies are configurable.
Essential cookies
Always On. These cookies are essential so that you can use the website and use its functions. They cannot be turned off. They're set in response to requests made by you, such as setting your privacy preferences, logging in or filling in forms.
Analytics cookies
Disabled
These cookies collect information to help us understand how our Websites are being used or how effective our marketing campaigns are, or to help us customise our Websites for you. See a list of the analytics cookies we use here.
Advertising cookies
Disabled
These cookies provide advertising companies with information about your online activity to help them deliver more relevant online advertising to you or to limit how many times you see an ad. This information may be shared with other advertising companies. See a list of the advertising cookies we use here.

Case study · Fintech

Finverse: an AI agent that tests every release of a fintech platform

We trained an AI agent on the work of Finverse's QA team. It runs unit, API and regression tests, writes documentation for new features and tells QA what to check by hand.

Client
Finverse
Industry
Fintech · payments
Service
AI agent for QA
Tests
Unit · API · regression
Result
~60% less manual work

The client

Who Finverse is

Finverse is a fintech platform that handles payments and financial data for businesses and financial services.

The product grows fast: every release brings new features.

The challenge

New features every release, tests that couldn't keep up

Manual regression took up to three days and slowed down every release. Some critical bugs still reached production.

Classic automated tests weren't enough: every new feature meant rewriting them or adding more.

The solution

What the agent learns from, what it produces

We gathered the existing QA cases and a year of the QA team's work into a knowledge base and trained the agent on it. For every new feature the agent writes the documentation, runs the tests and prepares a list of what needs checking by hand. When it finds a bug, it opens a ticket in the team's tracker right away and, once the developer fixes it, re-runs the test and closes the ticket.

Learns from

Existing QA casesScenarios and tests already written
A year of the team's workBugs, fixes, decisions
New featuresSpecs for every release
QA agenttrained on your product

Produces

DocumentationFor every new feature
Unit and API testsCode and endpoints
RegressionLogin, 2FA, payments, exchange
Bug ticketsOpened at once, re-tested after the fix
QA checklistOnly what to check by hand

The release

Before and after the agent

Before

3 days

of manual regression every release

Day 1Day 2Day 3
  • ✕The team re-checks almost everything by hand
  • ✕Automated tests have to be rewritten for every new feature
  • ✕Documentation written by hand, or missing

After

1 hour

of regression, run by the agent

Day 1Day 2Day 3
  • ✓The agent runs unit, API and regression tests
  • ✓QA tests only the new feature and runs a smoke test
  • ✓Bugs opened and re-tested automatically

Results

Less manual work, stable releases

~60%less manual work in QA
3d→1hfor a full regression run
−40%fewer issues in production
0blocking errors in login, payments and transfers over the last 4 releases
"With the new QA process we release with confidence every two weeks. The core financial flows are stable: no regressions, no surprises."

Product Owner, Finverse

Is your QA team chasing releases?

We build AI agents trained on your team's work: tests, documentation and checks, with a fixed price in writing before we start.

All case studies →

Related Services

The services behind projects like this one.

AI Development & Integration

Add AI features into a product you already run or are building.

Learn more →

Bug Fixing & Code Review

Your product works, but bugs and slow code hold it back.

Learn more →

API Development

Your CRM, payments and other systems need to share data automatically.

Learn more →

Cybersecurity

You need an audit, stronger protection or proof of GDPR compliance.

Learn more →