
Tech • IA • Crypto
Financial institutions are rapidly adopting advanced AI models to transform workflows, workforce productivity, and customer-facing products while strengthening security and compliance.
Financial institutions are redesigning core processes such as risk, compliance, and operations to reduce cost and complexity. AI enables end-to-end workflow transformation, allowing banks to operate more efficiently and at scale. This shift marks a move away from incremental automation toward fully reengineered systems built around intelligent models.
NatWest has launched more than 200 AI initiatives, with over 25 already in production. Its AI assistant, Cora+, supports customers with mortgages, banking, and money management. The tool has increased customer satisfaction scores by more than 150%, demonstrating measurable impact in retail banking experiences.
Financial firms are deploying AI agents to assist employees in daily tasks, from data analysis to customer service. These systems surface insights, automate repetitive work, and increase output, enabling staff to focus on higher-value activities such as client relationships and revenue generation.
Commonwealth Bank of Australia (CBA) has rolled out ChatGPT Enterprise to 50,000 employees, emphasizing AI fluency across the organization. The bank integrates AI into customer service, fraud detection, digital banking, and operations. It is also extending cybersecurity tools to over 1 million small businesses, reflecting broader ecosystem impact.
AI is enabling institutions to deliver highly customized services at scale, previously reserved for high-net-worth clients. Enhanced personalization is becoming a competitive differentiator, allowing firms to better serve mass-market customers with tailored financial guidance.
Revolut is integrating AI into fraud detection and customer support through tools such as its assistant Rita. These systems improve fraud prevention, reduce operational friction, and accelerate response times for millions of users, highlighting AI’s role in both security and service delivery.
New AI systems such as GPT-5.5 are designed for professional tasks including financial analysis, coding, and research. Evaluations measuring economically valuable work show state-of-the-art performance, particularly in handling spreadsheets, presentations, and complex analysis tasks.
As AI capabilities expand, financial institutions are prioritizing security. Tools like Codex Security help identify and patch software vulnerabilities, while specialized cyber models allow enterprises to test and strengthen their systems before threats emerge.
AI deployments emphasize strict data protection, including encryption and enterprise key management. Expanded data residency options and newly introduced inference residency in Europe ensure that both data storage and processing remain within regional boundaries, addressing regulatory requirements.
The broader vision centers on integrated platforms that allow organizations to govern, monitor, and scale AI across all functions. These systems aim to unify workforce tools, operational workflows, and customer-facing products under a single intelligent infrastructure.
AI is rapidly becoming foundational to financial services, reshaping how institutions operate, compete, and secure their systems while enabling scalable personalization and productivity gains.
[music] [applause] >> Good afternoon, everyone. Thank you for being here with us today. It is not often, as Matt said, that we get a room of executives like you together in person. I'm fortunate to work with many of these leading companies in our financial services team. One thing strikes me that comes up from these companies over and over again, which is they tend to ask the same three questions in our conversation. First, how can we rethink our workforce so that AI can drive more value? Second, how can our workflows better capture the impact of AI? And finally, how can we better infuse AI into our products so we can beat our competition and win in the markets? Let's take a look at how some organizations are doing this effectively today. First, driving value with AI workflows. Processes like risk, compliance, and operations have long been limited by cost and complexity. Now, banks can redesign themselves and redesign their workflows from the ground up and enable themselves to operate in entirely new ways. NatWest is a great example of this. They're partnering with OpenAI to help customers tackle everyday financial challenges, from mortgages to banking to money management. They're already exploring over 200 AI projects and over 25 of those are live in production today. In fact, Cora+ their AI assistant has helped raise their customer satisfaction score by over 150%, which is pretty remarkable. Secondly, multiplying multiplying workforce impact. Inside financial institutions, AI is becoming an always-on coworker, agents that execute tasks, surfacing insights, and multiplying output. So, your best people can spend more time building customer relationships and focusing on revenue driving activity. We see this with Commonwealth Bank of Australia. CBA is Australia's largest bank and they've rolled out ChatGPT Enterprise to 50,000 of their employees. Their focus on doing this is AI fluency. How can they operate at scale and help their team use ChatGPT, apps, and custom agents in everyday workflows in order to help with customer service, fraud, digital banking, and operations. They're also bringing a cyber initiative to over 1 million small businesses in partnership with OpenAI. CBA is a strong example of a regulated bank rolling out AI firm-wide. And third, products. AI will redefine how institutions build products that serve, advise, and win. The level of customization that was once only possible to deliver for your high-net-worth clients can now be scaled out customer-wide. A great example of this is Revolut. Revolut is working with our team to embed AI across the customer experience from AI financial AI-powered financial crime detection to Rita, their AI-powered assistant. The result is stronger fraud detection, less operational friction, and faster support for millions of customers. It's pretty amazing. And there are many other examples of initiatives we're working on with real customers both here in Europe and around the world. So, things like AI research for trading, modernizing code infrastructure, anybody here still on a mainframe COBOL legacy? Personalized wealth management. Again, these are real initiatives and we're tackling these in collaboration with our customers. We'd love to work on these with any of you. Staying on the edge matters more now than it ever has before. AI is advancing at a faster rate than any technology we've seen. And there are no signs of it slowing down. And it all starts with the model. GPT-5.5 is our most capable model yet, designed for professional work such as financial analysis and writing code. GDP valve, our evaluation specifically designed to test models for their ability to complete economically valuable work, things like spreadsheets, presentations, doing research, clearly shows that GPT-5.5 is state-of-the-art. Now, I started my career as a business analyst, and so for me, this is downright thrilling. We've also worked to make the model more intuitive and more natural to interact with, while also making it even more efficient, so you can get your work done fast. And while model performance keeps improving, we're also driving down the cost on every generation. Now, as AI models become more intelligent and capable of advanced coding and computer use, we know that in financial services, leaders like yourselves are more concerned about cybersecurity than ever before. That's why 2 months ago we launched Codex Security, a powerful tool to help you identify and patch vulnerabilities directly in your software. And today, we are launching our trusted access program to allow any of our trusted enterprise customers to access our special GPT-5.5 cyber model, so that you can red team and catch vulnerabilities in your infrastructure and applications before malicious actors have that opportunity. And all of this runs with world-class enterprise security and control. Your data stays protected with encrypt with encryption in transit and at rest, as well as support for enterprise key management. Critical for European institutions, we also have extensive support for data residency with data storage in all of these locations. And for the first time today, we're excited to announce inference residency in Europe, ensuring that the GPUs powering all of your intelligence reside directly in Europe. Now, our vision is to help you govern, monitor, and scale with AI on an enterprise intelligence platform. Today is all about sharing that vision and showing you how to achieve meaningful outcomes across your workforce, workflows, and products. You'll see it live in the demos, you'll hear it directly from customers, and you'll even see it directly in how Open AI's very own finance team uses our own platform and technologies. We can't wait to show you what it looks like, and we're even more excited to build these solutions with you. >> [applause]