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AI for financial services and fintech in Mexico

Artificial intelligence helps financial institutions and fintechs in Mexico lend and operate with less risk: it estimates the probability of default, flags suspicious transactions and answers your customers instantly. At Corsoft we build explainable models on your own data.

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Challenges we solve

01

Slow or blind credit decisions

Reviewing applications by hand is slow and inconsistent. A scoring model trained on your portfolio answers in seconds with consistent criteria.

02

Fraud caught too late

When fraud shows up at reconciliation, the money is already gone. Detection models flag unusual transactions in the moment, not at month-end.

03

Growing overdue portfolio

Default probability can be estimated before a payment is missed. Preventive collections focused on the highest-risk cases recovers more with fewer calls.

04

Customers waiting for answers

Balances, disputes and requirements make up most inquiries. An AI assistant resolves them instantly and leaves your team the cases that need judgment.

05

Black-box models no one can explain

In finance, a model you can't explain is a model you can't defend — to the committee, the auditor or the regulator. We build explainable, documented models.

Use cases

  • 01Credit scoring for loan origination
  • 02Fraud detection in transactions and applications
  • 03Default-probability models and preventive collections
  • 04AI assistant for customer service and disputes
  • 05Portfolio analysis and risk dashboards
  • 06Automating regulatory and operational reporting

Sound familiar?

Tell us about your operation's challenge and we'll come back with a clear plan, timeline and quote — usually within one business day.

Let's talk about your project

Frequently asked questions

Do the models meet regulatory requirements?+

We work with explainable, documented models: every decision can be traced to the variables behind it. Validation and documentation are delivered as part of the project.

What data do I need for a risk model?+

Your own loan and payment history is the foundation. A few thousand originated loans is enough to train a first model; we also incorporate bureau and alternative data if you use them.

How do you handle data confidentiality?+

Data doesn't leave your infrastructure without explicit agreement: we can work in your cloud or on-premises, under NDAs and with auditable access.

Is this for a small lender or fintech, or only banks?+

Projects are sized to your operation. A lender with a solid payment record can have scoring running in weeks, without big-bank consulting costs.

Does the model decide on its own, or does my team have the final say?+

You choose the level of automation: the model can auto-approve within limits, or only recommend and leave the decision to your committee.