AI INTEGRATION × FINTECH

AI integration for fintech products

Credit scoring, fraud detection, automated KYC, customer assistants: we integrate AI into fintech products with regulatory guardrails and the required precision.

AI × fintech

What you get

  • Real-time scoring and fraud detection
  • RAG on your docs and policies
  • Human fallback and audit trail
  • AI Act and GDPR compliance

They trust us

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Industry stakes

AI in fintech tolerates no hallucination

Integrating AI into a fintech product requires higher rigor than any other sector. An erroneous credit recommendation, a false fraud detection, a poorly automated KYC: each error costs dearly financially and regulatorily.

The European AI Act also requires complete traceability of automated decisions, human guardrails for high-impact cases, exhaustive documentation of models used.

Our approach

Fintech AI is built with guardrails, not "magic"

We integrate AI into fintech products with structured outputs (JSON-constrained responses), grounding on your internal documents (RAG), automatic output validation, systematic human fallback on high-impact cases.

Every AI decision is logged with its context, inputs and outputs to respect AI Act and facilitate audits. No black box — every recommendation is replayable and explainable.

Module: 03

Frequently asked questions

Credit scoring (increase precision without replacing committee), real-time fraud detection (flag vs block), automated KYC (OCR documents, false identity detection), customer assistants grounded on your T&Cs.

We avoid "gadget" cases (free financial advice generation, etc.) that pose more risk than value.

Exhaustive model documentation, decision logging, complete audit trail, human guardrails on high-impact decisions (credit, account closure, etc.).

We scope these requirements from the start — compliance built in, not added as late patch.

Depending on the case: Claude excels at long analysis and fidelity, GPT on multimodality, Mistral on European sovereignty. For very high volumes or ultra-sensitive data, we sometimes deploy open-source models internally.

We decide with you based on your regulatory, budget and data sensitivity constraints.

Let’s talk about your project

A web or mobile application to launch, or a product to accelerate?
Book 30 minutes to align on the right next step, without wasting cycles.
See our work