The international banking group BBVA has launched a structured program to integrate generative AI into internal operations, supporting thousands of employees in several countries. The goal is to increase productivity, service quality, and analytical capabilities, while maintaining security, compliance, and data protection at the core.<\/p>\n
In this article we analyze how BBVA is leveraging ChatGPT Enterprise, what use cases it has identified and what impact it can have.\u2019artificial intelligence<\/strong> on banking business models and digital marketing strategies.<\/p>\n For a large international bank, adopting solutions artificial intelligence<\/strong> requires high levels of security, control, and governance. ChatGPT Enterprise was created specifically to meet the needs of enterprises and institutions, offering a dedicated environment, clear data policies, and advanced workflow integration capabilities.<\/p>\n BBVA has chosen ChatGPT Enterprise to equip its teams with a generative AI tool compliant with banking industry security criteria. The solution allows for the use of advanced language models without using the institution's data to train public models, a crucial aspect for any regulated bank.<\/p>\n According to public information released by BBVA, the adoption of ChatGPT Enterprise is part of a broader digital transformation strategy, which includes data, cloud, APIs and automation.\u2019artificial intelligence<\/strong> It is considered a key enabler for making financial services faster, more personalized and accessible.<\/p>\n The bank has started to integrate the\u2019artificial intelligence<\/strong> in various internal workflows, with a particular focus on knowledge worker productivity. ChatGPT Enterprise is used as an assistant for low-value but time-intensive tasks, freeing up resources for more strategic tasks.<\/p>\n In the financial sector, documentation is produced on a massive scale: internal policies, risk reports, compliance memos, regulatory analyses. Generative AI can help teams synthesize complex texts, generate draft documents, compare versions, and identify inconsistencies much more quickly.<\/p>\n Thanks to ChatGPT Enterprise, BBVA employees can upload texts, request summaries, ask for clarifications or suggest rewording.\u2019artificial intelligence<\/strong> It does not replace compliance managers, but provides a first level of processing that reduces review times and improves communication consistency.<\/p>\n Another key area is ongoing staff training, which is essential in an environment where banking regulations, products, and technologies are rapidly changing. ChatGPT Enterprise is used as a knowledge management engine, capable of answering internal questions, explaining procedures, and clarifying technical concepts.<\/p>\n BBVA can connect the solution of artificial intelligence<\/strong> to its internal document database, allowing employees to query policies, manuals, and training resources in natural language. This reduces the time it takes to find the right information and speeds up the onboarding of new employees.<\/p>\n IT, data, and software development departments can use ChatGPT Enterprise to assist with programming, technical documentation, and scripting. Generative AI helps generate code samples, explain bugs, suggest refactoring, and document internal APIs.<\/p>\n In a banking context, where the reliability of systems is critical, the combination of human skills and tools artificial intelligence<\/strong> It can reduce development times and improve software quality, while maintaining high standards of control and testing.<\/p>\n For BBVA, the adoption of artificial intelligence<\/strong> Generative learning isn't just a technology issue, but above all a governance one. Institutions must ensure that the use of tools like ChatGPT Enterprise is aligned with regulations, internal policies, and the expectations of customers and supervisory authorities.<\/p>\n ChatGPT Enterprise offers specific features for centralized account management, permissions, usage monitoring, and data protection. Conversations are handled in an enterprise-level manner, with tighter control over information storage and access.<\/p>\n BBVA can thus define clear guidelines for the daily use of the\u2019artificial intelligence<\/strong>What data can be entered, what activities are permitted, and which cases always require human review. This approach allows you to leverage the benefits of AI while mitigating operational, reputational, and regulatory risks.<\/p>\n Supervisory authorities and international institutions are beginning to define frameworks for the responsible use of AI in the financial sector. Bodies such as the Bank for International Settlements<\/a> and the European Central Bank<\/a> They closely monitor these developments, highlighting the opportunities and risks of a massive use of algorithms and generative models.<\/p>\n The structured introduction of artificial intelligence<\/strong> At a large bank like BBVA, this is a clear signal for the entire industry. Financial institutions are moving from isolated pilot projects to integrated enterprise programs, with dedicated budgets and a cross-cutting impact on processes, people, and technology.<\/p>\n Generative AI can accelerate digital transformation on multiple levels: automating internal tasks, analyzing data, supporting decision-making, and personalizing commercial offerings. In the coming years, we will see a growing number of banks integrating models like ChatGPT's into existing platforms, CRMs, risk management systems, and front-office tools.<\/p>\n This evolution requires new internal skills, strong technology partnerships and a cultural shift: see the\u2019artificial intelligence<\/strong> not as a threat, but as an ally to increase efficiency, transparency and customer proximity.<\/p>\n To delve deeper into the fundamentals of generative AI and large-scale language models, it is also useful to consult popular resources, such as the entry dedicated to AI on Wikipedia<\/a>, which offers a historical and technical overview of the topic.<\/p>\n The integration of the\u2019artificial intelligence<\/strong> In banking environments like BBVA, it's not just about internal efficiency, but also redefining the way companies market and manage customer relationships. Data, automation, and generative AI enable personalization on a scale previously impossible.<\/p>\n In financial services, AI enables the creation of personalized content, tailored financial education scenarios, simulations, and recommendations based on real customer profiles. Marketing teams can use tools similar to ChatGPT Enterprise to generate campaigns, better segment audiences, test message variations, and optimize end-to-end digital funnels.<\/p>\n THE'\u2019artificial intelligence<\/strong> It also offers an integrated view of the entire customer journey: from lead generation to loyalty, including onboarding, support, and cross-selling. By analyzing multichannel interactions (website, app, email, WhatsApp, branch), companies can identify behavioral patterns, anticipate needs, and reduce churn.<\/p>\n For SMEs and non-financial brands, the BBVA case is an example of how a structured AI implementation can impact marketing and business: standardizing repetitive tasks, creating more relevant content, supporting the work of sales and customer care teams with always-on intelligent assistants.<\/p>\n In this context, messaging channels like WhatsApp become the ideal place to converge data, automation and artificial intelligence<\/strong>, to offer seamless, integrated and measurable conversational experiences.<\/p>\n The principles that guide BBVA in adopting artificial intelligence<\/strong> Enterprise solutions can also be applied to WhatsApp communication and marketing strategies. SendApp offers a suite of solutions designed to integrate automation, AI, and messaging channels securely and scalably.<\/p>\n With SendApp Official<\/a>, companies can use the Official WhatsApp Business APIs<\/strong> to orchestrate automatic conversations, notifications and personalized flows, integrating templates where necessary artificial intelligence<\/strong> for understanding natural language and generating responses.<\/p>\nArtificial Intelligence and Banking: Why ChatGPT Enterprise for BBVA<\/h2>\n
Banking workflows powered by AI<\/h2>\n
Documentation and compliance support<\/h3>\n
Internal training and knowledge management<\/h3>\n
Support to technical and development teams<\/h3>\n
Security, governance, and responsible use of artificial intelligence<\/h2>\n
![\"Intelligenza](\"https:\/\/sendapp.cloud\/wp-content\/uploads\/2025\/12\/intelligenza-artificiale-in-banca-come-bbva-integ-1765563263-165.png\")
<\/figure>\nArtificial Intelligence and the Transformation of the Banking Sector<\/h2>\n
Artificial Intelligence: Impact on Marketing and Business<\/h2>\n
How SendApp Can Help with Artificial Intelligence and Conversational Automation<\/h2>\n