01
Fraud vs conversion
Hard controls kill onboarding; soft controls kill the license.
Fintech sector
Executable AI for Fintech: Transactional Security and Bank-Grade Compliance.
Fraud prevention, KYC/AML, and B2B payments with architectures under ISO 27001 and data sovereignty: from regulatory friction to measurable EBITDA advantage.
- KYC/AML
- Fraude
- Pagos B2B
- ISO 27001
Value proposition
What Kodex does for your fintech
Fraud, KYC/AML, and B2B payments with verifiable compliance: less regulatory friction, more trust from risk, product, and CFO.
Book strategic consulting
Typical pressure in fintech
02
Moving regulation
MiCA, PSD3, and internal policies change faster than SOPs.
03
Fragile integrations
Gateways, core, and ERP without a common governance layer.
Measurable impact
What risk and product look at
-
KPI 01
Cleaner
human exceptions
-
KPI 02
↓
Fraud
real-time signals
-
KPI 03
B2B
Payments
ERP via MCP
Scale with verifiable compliance
Direct
Machine learning + regulatory RAG
Real-time anomalies and regulatory RAG; key vault for critical secrets.
Indirect
User trust and adoption
Transparent design system: compliance without penalizing UX.
Outcome
Risk and CFO aligned
Less fraud, faster onboarding, and traceability for compliance.
Applied to your business
Fintech use cases
Concrete cases for your sector's day-to-day — not generic demos.
Priority · 01 Use case
AI-assisted KYC/KYB
Documents, identity, and scoring with human exceptions.
Fintech
- 02
KYC/AML automation
Identity validation with auditable agents.
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03 B2B payment optimization
Financial flows with ERP via MCP.
- 04
Dynamic compliance
Regulatory monitoring (MiCA, PSD3) and flows with evidence.
Visual context
The Fintech world we operate in
01 · KYC / AML
Data and risk
02 · B2B payments
Kodex infrastructure
03 · Fraud
Transactional security
How do you want to scale your financial operation?
DFY = full regulated implementation. DIY = checklists and templates in KodexLAB.
FAQs for risk and product
How do you guarantee privacy of financial data?
Encryption and ISO 27001; sensitive data does not train public models.
Can it integrate with traditional payment systems?
Yes. MCP with gateways and core securely.
What impact does it have on conversion rate?
Less onboarding abandonment without increasing risk.
What security do you apply for sensitive data?
ISO 27001, OWASP, roles, and encryption.
More sectors
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Legaltech
Legal
eDiscovery, integridad documental y cumplimiento ISO 27001 para firmas y departamentos legales.
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Private Equity
Private Equity
Due diligence acelerada, unificación de portfolio y tesis de salida con IA auditable.
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B2B
B2B / Industrial
Supply chain, mantenimiento predictivo e integración ERP/IoT con seguridad de grado industrial.
Open →
Want this sector live with Kodex?
We move from diagnosis to DFY delivery with the same engineering and audit criteria.