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[Home](/en)[Blog](/en/blog) CRiskCo CEO Urges Shift to Real-Time Credit Data and AI Models 

# CRiskCo CEO Urges Shift to Real-Time Credit Data and AI Models

Erez Saf discusses the future of credit risk: real-time data, AI models, quantum computing, and financial inclusion in an interview with JLN.

Video September 5, 2025 Erez Saf 

In this interview with John Lothian News (JLN), CRiskCo CEO Erez Saf makes a compelling case for why the financial industry must abandon static, backward-looking credit data in favor of real-time intelligence powered by AI and machine learning.

  

## The Problem with Traditional Credit Data

  

Traditional credit assessment relies on historical financial statements — balance sheets and income statements that may be months or even years old by the time they reach a lender's desk. This backward-looking approach creates a dangerous blind spot: it tells you where a business _was_, not where it _is_ or where it's _going_.

  

Saf argues that in today's fast-moving economy, especially in emerging markets like Mexico, this lag can mean the difference between funding a thriving business and extending credit to one that's already in decline.

  

## Real-Time Data Changes Everything

  

CRiskCo's approach connects directly to government tax authority data — in Mexico's case, the SAT (Servicio de Administración Tributaria). By analyzing actual invoicing data (CFDI) in real time, lenders can see a company's true commercial activity: who they're selling to, who they're buying from, revenue trends, customer concentration, and payment patterns.

  

This isn't a credit bureau score based on past behavior. It's a living, breathing picture of a company's financial health updated continuously.

  

## AI and Machine Learning in Credit Decisioning

  

The conversation dives deep into how machine learning models can identify patterns invisible to human analysts. CRiskCo's FinScore algorithm processes hundreds of data points from fiscal records to generate a credit risk score that predicts both the probability of default and — uniquely — the probability of business success.

  

## Financial Inclusion as a Business Imperative

  

Perhaps the most powerful argument is that better data and AI don't just reduce risk — they expand the addressable market. Millions of SMEs in Mexico and Latin America are "credit invisible" because they lack traditional financial statements. But they _do_ have tax records, invoicing data, and commercial relationships that can be analyzed.

  

* * *

  

_Want to see how real-time credit intelligence can transform your lending decisions? \[Explore CRiskCo's platform\](/solutions/credit-risk)._

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