The $443 Billion AI Lending Bias: Why 65% of Good Customers Get Declined | Carla Canino, Founder and CEO Kindlee

In this pod,Carla Canino, CEO of Kindlee AI, shares with us how AI bias is costing lenders $443 billion annually and what financial institutions can do about it.

Key highlights:

• 65% of loan declines are actually creditworthy customers being misclassified by biased AI models

• Traditional lending models ignore 23% disabled, 20% elderly, and 22% neurodiverse populations

• Small banks waste $4-5M annually on operational friction caused by bias in customer interactions

• European AI Act requires independent third-party auditing of high-risk AI systems

• Inclusive lending models can increase profitability while ensuring regulatory compliance

We also go personal, and Carla shares her journey from payments expert to solo founder, explaining how her experience as a disabled immigrant showed her gaps in financial services that inspired her to start a company that solves for these.

She demonstrates why reducing bias isn't just about social responsibility - it's about capturing enormous untapped market opportunities while maintaining risk standards and regulatory compliance.

Follow for more discussions on building FinTech products with customer and commercial impact and to stay updated on the latest episodes.

Socials:

👉 Follow Carla Canino:

LinkedIn: https://www.linkedin.com/in/carlakerstenscanino/

Website: https://www.kindlee.ai/

👉 Follow Monica:

LinkedIn: https://www.linkedin.com/in/monicamillares/

YouTube: https://www.youtube.com/@moni_millares

TikTok: https://www.tiktok.com/@moni_millares

We cover:

[00:00:00] The $443 billion lending opportunity being missed

[00:28:00] Core question: How to lend more without losing money

[02:21:00] Why 65% of good customers get declined by AI

[04:46:00] The invisible customers AI models ignore

[08:07:00] Personal banking discrimination story

[10:17:00] Who exactly are these declined customers

[13:24:00] Biometric authentication bias problems

[18:21:00] What Kindly AI does for financial institutions

[23:43:00] Zero integration implementation approach

[28:50:00] European AI Act compliance implications

[33:02:00] Quantifying operational waste from bias

[37:54:00] Build versus buy decision framework

[45:16:00] Career pivot to solo founder journey

[55:14:00] Key startup pivot moments and lessons

SEARCH QUESTIONS

How to reduce AI bias in lending decisions

What is the cost of algorithmic bias in finance

How to approve more customers without increasing risk

European AI Act compliance for banks

Why do good loan applications get rejected

How to measure bias in credit scoring

What causes AI lending discrimination

How to build inclusive financial products

AI bias detection platforms for fintech

How to reduce false loan declines

What is systematic bias in banking

How to serve disabled customers in fintech

Solo founder challenges in AI startups

How to comply with new AI regulations

What is ROI of bias reduction initiatives

How to audit AI models for fairness

Why biometric authentication fails minorities

How to calculate operational costs of bias

What is Kindly AI technology

How to retrain discriminatory AI models

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Production and marketing by Monica Millares. For inquiries about sponsoring the podcast, email Monica at fintechwithmoni@gmail.com

Disclaimer:This episode does not constitute professional nor financial advice and does not represent the opinion nor views of my current, past or future employers. The guest has agreed to record and release our conversation for the use of this podcast and promotion in social media.