Fintech Software Engineering and AI QA

Fintech

AI writes more of your code. Every payment still has to be right.

Your teams ship faster with AI, and fewer people check what it wrote. A payment rule that drifts shows up in a customer’s account before it shows up in a test. Perform’s engineers build and test inside fintech teams, and our largest client is a fintech company.

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Three ways to start
01Engineers who build and testSenior engineers who write the change, test it and answer for it, inside your review process.
02Tests for AI-written codeRegression checks and quality gates on what your AI tools write, before it reaches a customer.
03Data your AI can trustA clean data layer under the models, so answers match the numbers in your reports.

AI writes the code faster than anyone can check it.

Smaller teams now ship in weeks what used to take a full team months. Nobody added time to check the work.
When the code touches payments, a change that passes review can still move money the wrong way, and the error shows up in a customer’s account.
Models also answer differently from one run to the next. The same input no longer always returns the same output, so the old test plan misses what changed.
We put engineers on your team who build with AI and test what it writes, so you keep the speed and the accuracy.

How a change reaches your customers

With quality gatesEvery AI-written change
Reviewed by a senior engineerRegression tests on payment rules
Released ✓Drift caught before customers see it
Without themAI-written change, quick review
Passes the old test planA rule drifts in production
✕
Found by a customerThen traced back by hand
What we build

Every AI-written change goes through the same checks, in the tools your team already uses.

What our engineers built for a fintech client.

Perform engineers have worked inside one fintech company’s teams for years, through its move to AI-first engineering. They work as developers with a QA mindset: they build the change, test it, and stay accountable after release. Here is some of what they built.

Regression checks on payment behavior

Checks that caught payment behavior drifting after new rules went in, before customers felt it.

A retraining pipeline with an accuracy gate

Models retrain on new data, and a model only ships when it clears an accuracy bar for each customer.

A semantic layer for the language model

Business definitions the model reads directly, so its answers match the reports and it makes things up less often.

Pipelines with a cost on every one

A real-time pipeline into the analytics warehouse, with cost tags on every pipeline and sizing rules for the warehouse.

Results from two systems that could not go down

Neither of these is a fintech company. What carries over is the handover. The team running the system afterward works for you.
One reservations platform: the concurrent user ceiling went from under 100 to 1,000, and the opening rush now clears 3,500 reservations in 10 minutes.
CommScope: 72 SAP test cases converted, double the requested load proven, and the testing capability handed to their team.
You can take the read and stop there. Some do.

Your team can name the change that worries them.

We bring engineers who build with AI and test what it writes, inside your review process.

Nobody agrees on what to build first.

More candidates than you can fund. 2 to 4 weeks on one problem, ending in an order of work and a first piece scoped.

Questions about fintech work

Can you work under our compliance and security rules?

Yes. Our engineers work in your repo, your review process and your access controls. Anything that would need an exception, you hear about before work starts.

Who checks the code our AI tools write?

A senior engineer reads it, tests it and answers for it. We add regression checks and quality gates around the parts that move money, so a change that drifts gets caught before release.

Where are your engineers, and what hours do they work?

They work from LATAM, India and the Philippines, on your hours, in your standups. You interview each one before they start.

Related reading

Customer storyCamis: a platform under an opening rush ServiceCustom software in the systems you run ServiceA senior engineer reads your systems

Start with a conversation

Your team knows which change worries them most. We look at how AI-written code reaches production today, then name the first check to add.
Where AI-written code enters your release process
Which payment rules have no regression test
One check named first, with what it protects