Regulated Fintech & Financial AI

Move regulated money with AI.
Prove it stays controlled.

Financial AI sits on SOC 2 and ISO 27001 as the floor, with payment-card rules, model risk, and anti-money-laundering controls stacked on top. We deliver the floor and the AI management system, and specify the specialist financial regimes with the right partner.

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Why this matters for financial AI

A model touching money
has to be explainable.

Partners, banks, and regulators expect a financial AI system to be documented, validated, monitored, and overridable, and they expect the organization around it to be certified. A model that makes a lending, pricing, or fraud decision no one can explain is a liability, and diligence will find it.

What you need, when and why

The frameworks in your world,
and who owns each.

We deliver this in-house
SOC 2 ISO 27001 ISO 42001

The security floor your banking and enterprise partners require, plus the AI management system that governs your models. We assess, implement, and deliver these done-for-you.

We specify and connect the right partner
PCI-DSS Model risk (SR 11-7) BSA / AML

The payment-card standard, the model-risk-management expectations, and anti-money-laundering obligations. We specify the controls and bring in the right assessor or compliance partner to execute them.

How the evidence gets built

One control, traced end to end.

Frameworks are abstract until you can see a single requirement turn into the artifact a reviewer actually reads. Here is one, the way it runs through the program.

The control
Every model decision that affects a customer's money is explainable, logged, and reviewable, and a person can override it before it takes effect.
Where it is required
The SR 11-7 model-risk-management expectations, the ISO 42001 human-oversight control, and the SOC 2 processing-integrity criterion.
The evidence it produces
The model documentation and validation record, the decision log, the override procedure, and the ongoing monitoring plan. A reviewer can trace any single decision from input to human accountability.
Who it is for

Built for the companies
putting AI near money.

Lending and credit AI

Models that price, approve, or decline, where every decision must be explainable.

Payments and fraud

Systems handling card data and real-time fraud calls under strict standards.

Financial platforms

Fintech infrastructure whose bank and enterprise partners run hard diligence.

Tell us what your models decide. We will tell you what model risk and your partners will require.



or start the free scoping questionnaire at ferendis.com/start