In recent years, the adoption of artificial intelligence (AI) has seen a significant increase within organizations, especially in 2024. However, this deployment often remains limited to a single business function, demonstrating that full integration is still to come.
Companies, particularly in the banking sector, are encouraged to move beyond the experimentation stage and transform their key functions through advanced AI technologies. This transition is crucial in the face of increasing competition and irregular productivity performance.
Generative AIs are proving particularly promising in areas such as marketing, product and service development, as well as computing. However, to realize the full potential of AI, it is essential to integrate it at the enterprise level, focusing on robust systems and the development of a bold and comprehensive vision.
In parallel, Swiss banks illustrate this global trend with increasing adoption. They identify areas such as process automation and data management as the main applications of AI in their future operations. Although AI shows considerable promise, the path to total and smooth integration is still fraught with pitfalls.
The integration of AI in modern organizations
Over the past few years, the adoption of artificial intelligence (AI) has undergone rapid growth across various sectors. With innovations such as generative AI, companies have been able to rethink their ways of operating, particularly in key areas like marketing, sales, and product development. A recent report from McKinsey highlights that nearly half of organizations have already integrated AI into at least one business function. However, many are still in the experimental phase, far from large-scale integration.
The challenges of complete AI integration
To truly leverage the power of AI, companies must overcome various obstacles. One of the main challenges lies in adapting traditional business processes to more advanced AI systems. Transforming a company into an organization fully centered on AI does not simply involve installing tools like chatbots; it requires fundamentally rethinking every aspect of the company’s operations to maximize the added value from AI. According to a PwC study, companies need to establish a robust infrastructure and create a comprehensive vision for AI integration.
The future implications of AI in the banking sector
The banking sector, in particular, could benefit from the transformation brought by AI. Banks that fully leverage AI can improve risk management, increase productivity, and offer more personalized solutions to their clients. Yet, McKinsey’s report indicates that few financial institutions have achieved complete AI integration. To learn more about the impact of AI on skills, please refer to this document.
