The Moroccan insurance sector is reinventing itself by accelerating digital transformation and increasing use of artificial intelligence.
The aim is to maintain the sector's position as a key player in the economic and social modernisation of the Kingdom.
This strategy is led by the Moroccan Insurance Federation (FMA), which is determined to drive innovation in the service of policyholders while strengthening solidarity and confidence in a rapidly changing market.
This commitment is outlined in the Courrier de l'Assurance, a publication of the FMA. "The digital transformation of the sector plays a crucial role, not only in improving the services offered to customers but also in strengthening security and control mechanisms," reads the FMA publication.
For the FMA, this ongoing transformation brings significant opportunities, inviting the insurance industry to rethink practices, innovate and collaborate closely to build a future where insurance will be more accessible, more efficient and more in line with the real needs of populations regardless of their social status.
To illustrate this dynamic, the Federation reviewed the main projects carried out, such as the digitalisation of the automobile insurance certificate initiated in consultation with the Supervisory Authority of Insurance and Social Welfare (ACAPS) and insurance companies.
The digitalisation of automobile insurance premium payments via advanced electronic payment solutions is also among the sector's priorities. This project, which is at an advanced stage of implementation, will simplify and streamline the payment process for policyholders. "By offering a plurality of secure payment channels, whether physical or digital, the multi-channel approach adopted will provide an optimised, modular customer journey in line with the best electronic payment standards.”
“This initiative is part of a broader strategy aimed at strengthening financial inclusion and accessibility to insurance services," said the FMA. To deal with fraudulent practices, units specialised in data analysis and fraud detection have been set up, some of which are based on AI and machine learning.