Infocredit Group
Whitepaper · RISQO

The State of AI in Credit Risk 2026

Artificial intelligence is moving from experiment to infrastructure in credit risk. This whitepaper benchmarks where banks, lenders and fintechs are today: automated credit scoring, explainable AI, real-time portfolio monitoring, and the governance frameworks regulators expect. It separates proven use cases from hype, maps the risks of black-box models, and shows how to build AI-augmented credit decisioning that auditors and boards can trust. Drawn from the credit intelligence work we deliver on RISQO and through API4ALL data services.

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What you will learn

  • Where AI is delivering measurable lift in credit origination and monitoring today
  • How to balance model performance with explainability and regulatory scrutiny
  • The data and API architecture needed for real-time credit decisions
  • A practical roadmap for moving from pilot to production AI in credit risk

Who this is for

Chief risk officers and credit directors
Data science and model risk teams
Lenders, banks and fintechs modernising credit infrastructure

Topics covered

AI credit riskCredit scoringExplainable AIPortfolio monitoringCredit decisioning

Frequently asked questions

Who is this whitepaper for?
Credit risk leaders, data scientists, model risk managers and anyone planning to embed AI into origination, underwriting or portfolio monitoring workflows.
Does it cover regulation?
Yes. It covers the governance, documentation and explainability expectations that regulators and auditors have for AI-driven credit models.
Is it free to download?
Yes. Enter your work email and we will send you the whitepaper plus an optional follow-up from our credit intelligence team.

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Each resource is designed to help you make a specific risk or compliance decision faster.