AI Automation for Fintech and Financial Services
Accelerate your fintech with artificial intelligence: credit scoring in seconds, real-time fraud detection and automated KYC. 300-700% ROI.
The Challenge for Fintechs in LATAM
Fintechs compete on speed, experience and risk control. Manual processes in scoring, KYC or fraud are now a critical disadvantage against automated competitors.
is the average time a traditional fintech takes to approve a personal loan, while digital neobanks do it in minutes.
of onboarding drop-offs happen during the manual KYC process: document requests, slow validations and retries.
in annual losses from financial fraud in LATAM, much of it detectable with real-time AI models on transactions.
of inquiries at digital banks are repetitive (balances, transactions, card blocks): perfect for automating with WhatsApp agents.
6 AI Solutions for Your Fintech
Every solution delivers measurable returns and integrates with your banking core or payment processor.
AI Credit Scoring
Machine learning models that assess risk by combining credit bureau data, transactional data and digital behavior. Approvals in seconds with lower default rates.
Automated KYC
End-to-end identity verification with document OCR, facial biometrics and validation against PEP/AML lists. Built-in CNBV, SuperFinanciera and BCRA compliance.
Real-Time Fraud Detection
AI models that analyze every transaction in milliseconds, detecting anomalous patterns, suspicious devices and atypical behavior before the money leaves.
Banking WhatsApp Chatbot
24/7 conversational assistant for balance inquiries, transactions, card blocking and credit pre-approvals. Integration with banking core and handoff to humans.
Automated Collections
Personalized collections strategies with AI: risk-based segmentation, adaptive messaging per channel (WhatsApp, SMS, email, voice) and voice agents for mass calls.
Behavioral Analytics
Dynamic customer segmentation, churn prediction, product recommendations and early detection of financial stress. Data-driven decisions at scale.
Before vs After Automating
Before
- Credit approval in 7-15 days with manual analysis
- KYC with document uploads by email and human validation
- Fraud detected days later by the risk team
- Call center overwhelmed with basic balance inquiries
- Collections with generic scripts and low response rates
- Regulatory reports consolidated manually every month
After
- Approval in seconds with AI scoring across 200+ variables
- KYC in under 3 minutes with OCR + biometrics + AML lists
- Fraud blocked in milliseconds before the transaction
- WhatsApp bot resolves 70% of inquiries, humans for complex cases
- Collections personalized by channel and customer's optimal moment
- Regulatory reports generated automatically in real time
Frequently Asked Questions
Is it compatible with CNBV regulation in Mexico?
Yes. We design every implementation in compliance with the Mexican Fintech Law and CNBV guidelines: full traceability of automated decisions, KYC/AML evidence storage, auditable models and automated regulatory reporting. We also work with the frameworks of Colombia's Superintendencia Financiera and Argentina's BCRA.
How does it integrate with our banking core or payment processor?
We connect via REST APIs, webhooks or message queues with the leading banking cores (Temenos, FIS, Mambu), processors (Pomelo, Galileo, Marqeta) and local credit bureaus (DataCrédito, Buró de Crédito, Veraz). A typical integration takes 2-4 weeks with a sandbox environment before production.
What happens with our customers' sensitive data?
The entire architecture complies with PCI DSS, ISO 27001 standards and local data protection laws (LFPDPPP Mexico, Habeas Data Colombia, Ley 25.326 Argentina). Sensitive data is encrypted in transit and at rest, and models can be deployed on the customer's private infrastructure if regulation requires it.
How long does it take to implement credit scoring or fraud detection?
A typical credit scoring project takes 4-8 weeks: 2 weeks of historical data analysis, 2-3 weeks of model training and validation, and 1-2 weeks of integration. Real-time fraud detection is implemented in 6-10 weeks depending on transaction volume and the systems to integrate.
What realistic ROI can I expect in the first year?
Fintechs that automate scoring + KYC report 300-500% ROI in the first 12 months from reduced operating costs and increased onboarding conversion. Those adding real-time fraud detection reach 700-1000% from avoided losses. We build a personalized business case in the free assessment.
Can the AI models explain their decisions to a regulator?
Yes. We use explainable AI techniques (SHAP, LIME, reason codes) that make it possible to justify every scoring decision or credit rejection to the customer or the regulator. This is critical for complying with the non-discrimination and right-to-explanation principles required by CNBV, SuperFinanciera and BCRA.
Ready to automate your fintech?
Book a free 30-minute assessment and discover how much your fintech can grow with AI