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The smart lender

Insights, trends, and perspectives shaping the future of AI in lending

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Generative AI

Credit underwriting

The AI divide reshaping financial institutions

Financial institutions putting AI to work are moving faster, finding better insights, and making better lending decisions—while others are still trying to move past the hype.

The smart lender

The AI divide reshaping financial institutions

All blogs

The AI divide reshaping financial institutions

Consumer Lending Fraud in 2026: Why fraud detection must become more automated using AI

Credit decisioning software: A complete guide for banks and credit unions

Decoding First-Party Fraud: When your best customers become your biggest risk

Top five ways lenders are embracing machine learning

What is machine learning?

Generative AI for Credit Unions and Banks

5 macroeconomic indicators for lenders to watch

Lending strategies for tariffs and consumer pressure

How to write effective prompts when using generative AI in lending

What is Agentic AI? Benefits and challenges for financial institutions

5 ways GenAI is reshaping lending

How RAG is transforming analytics for banks and lenders

How tailored generative AI transforms credit union operations

What lenders should know about behavioral fraud detection

Feeling challenged by challenger banks? This one’s for you.

Debunking 5 Fraud Myths

Level up with AI before you level out: Unlocking new skills and proficiency with AI

Mythbusting common AI misconceptions for financial institutions

If alternative data is the new black, Zest AI’s been ahead of the trend

Fighting fire with fire

Put AI on the frontlines against fraud

Much ado about delinquencies

What is AI-automated underwriting?

The future of lending—ethical AI’s disruptive potential

Getting model explainability right means everything to AI lending

Zest Cares — we mean it when we say it!

Going digital—meeting high consumer expectations with auto-decisioning

What the future generation thinks about credit unions

Sowing the seeds of successful loan growth

Six ways to manage missing data

Why picking the right AI-credit decisioning partner matters

Who’s keeping score?

Data, documentation, monitoring: the best practices of AI lending

From A to Zest AI: A glossary of machine learning terms for credit underwriting know-how

Why machine learning can boost your lending automation

Why AI transparency is so important

There’s a fix to the problem of biased algorithms in lending

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