AI redefines the business model in financial entities

Santo Domingo.- Artificial intelligence has ceased to be an emerging innovation to establish itself as a strategic pillar within the financial system. Its impact goes beyond operational efficiency, as it is reconfiguring business models, enabling new services and strengthening risk management in an increasingly dynamic and regulated environment. Firms like EY, with extensive experience in digital transformation of the financial sector, are setting the standard on how to adopt these technologies safely, ethically and with a long-term vision. In the financial field, this technological revolution has given rise to a new generation of solutions. From models focused on prediction, there has been a transition towards generative systems and autonomous agents capable of executing tasks, generating content, and making decisions autonomously. These capabilities open up unprecedented opportunities to optimize processes, reduce cost structures, diversify income sources, and advance financial inclusion. However, they also require addressing complex challenges in terms of governance, regulatory compliance, and the availability of specialized talent.

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“In the organizational environment, artificial intelligence requires more than technological curiosity. It demands a clear vision, robust control structures, and a well-defined strategy. What simplifies our lives as users, in a company involves redesigning processes, training teams, and building technological autonomy. It is not about traditional software, but about a technology that trains, adjusts, and evolves,” said José Rafael Sánchez Vecchini, Business Consulting Panama – FSO of EY, during his participation as a spokesperson in a recent congress of the financial sector in the Dominican Republic. From EY's perspective, this type of solution should not be understood as isolated tools but as a new business operating system. The development of proprietary architectures, the use of open-source models, and the customization of data and prompts are positioning themselves as strategic assets that drive technological independence, reinforce security, and foster constant innovation. At a local level, the banking sector has before it a range of possibilities that includes the intelligent automation of operations, virtual assistants that enhance the work of analysts and commercial teams, more fluid and personalized customer experiences, as well as the creation of digital products and embedded solutions. However, these advances must be managed alongside critical challenges such as traceability in decision-making, regulatory compliance, ethical and cyber risks, and the shortage of trained professionals.