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AI governance

AI Governance in Banking and Insurance in Morocco

By KaperX Editorial Team4 min read

The uses concerned

UseMain issue
Consumer credit scoringDecision to grant or refuse, risk of discrimination
Life and health insurance pricingAccess to cover at a fair price
Fraud detectionBlocking of accounts or transactions
Banking chatbotAccuracy of information on products and fees
Anti-money launderingSuspicious activity reports and false positives

What Law 09-08 says

Article 11 prohibits basing a decision with legal effects on a person solely on the result of automated processing intended to define their profile or assess certain aspects of their personality. The law provides for exceptions, notably where the decision is taken in the context of a contract and the person has been able to present their point of view.

In practice, a credit refusal based solely on an automated score, with no human involvement and no opportunity for the customer to put their case, exposes the bank. The rights of access and objection under Law 09-08 also mean being able to explain, in understandable terms, the logic of a score that has effects on a person.

What the AI Act says

Annex III of the AI Act classifies as high risk:

  • systems intended to evaluate the creditworthiness of natural persons or establish their credit score, with the exception of those used to detect fraud;
  • systems intended for risk assessment and pricing in relation to natural persons in life and health insurance.

These obligations apply from 2 December 2027. A Moroccan bank is affected when these systems produce output used in the European Union, for example through subsidiaries or activities involving customers who live there. Each situation must be assessed case by case.

Governance good practice

  • An inventory of the models used in customer decisions, with an owner for each one.
  • Human review of any significant adverse decision, with a channel for the customer to present their point of view.
  • Bias testing on data representative of the Moroccan customer base, by region, age, sex and income type.
  • Explainability: being able to tell the customer which factors weighed in the decision.
  • Monitoring of model drift and periodic revalidation.
  • Oversight of third-party models: documentation, test results, conditions of use.
  • Integration into the internal control and risk management framework that Bank Al-Maghrib (Morocco's central bank) requires across all of a bank's activities.

See also The AI System Life Cycle: From Design to Retirement.

Further reading

Frequently asked questions

Can a bank refuse credit based solely on an automated score?

Article 11 of Law 09-08 prohibits basing a decision with legal effects solely on the result of automated profiling, subject to exceptions, notably in the context of a contract where the person has been able to present their point of view. Human review and a way for the customer to be heard are therefore strongly recommended.

Is AI-based fraud detection high risk under the AI Act?

No. Annex III explicitly excludes systems used to detect fraud from the high-risk category covering creditworthiness assessment.

When do the AI Act obligations for credit scoring apply?

From 2 December 2027, the date set by Regulation (EU) 2026/1744 for Annex III high-risk systems, and only where the AI Act applies to the system concerned.

General information, not legal advice.

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References (4)