David White, Global Head of Product and Data at LSEG Risk Intelligence
with David White, LSEG Risk Intelligence
Returning to the podcast, David White shares insights from LSEG’s newly released 2025 Risk Intelligence Global Survey. He explains that the survey was launched to understand the shifting concerns of financial institutions amid widespread adoption of AI and ongoing market disruption.
A clear theme emerging from the data is the demand for speed. Since COVID-19, customer expectations for instant payments and onboarding have intensified, putting pressure on firms to accelerate compliance checks like screening and risk assessment.
David also highlights that 98 percent of institutions now view real-time access to sanctions and risk data as critical. While this aligns with regulatory expectations, it is also creating operational challenges, especially with high volumes of false positives slowing systems down.
The discussion turns to the balance between AI and human judgement. David sees AI as a way to reduce compliance costs while maintaining standards, but warns against full automation where quality may be compromised. He emphasises AI’s potential to support human decision-making, not replace it.
However, AI’s growing role in fraud is cause for concern. With more accessible tools, fraudsters are increasing both the scale and sophistication of their attacks. In response, financial institutions must invest in high-quality data and agile systems to stay ahead. For David, success in the Agentic era will depend on how well firms understand and manage the data feeding these systems.
Ioana Boier, Global Head of Capital Markets Strategy at NVIDIA
Chatting with Ioana Boier of NVIDIA
Ioana Boier joins from NVIDIA to discuss how AI is being embedded across capital markets. She introduces the concept of AI factories, which allow institutions to streamline key processes across trading and post-trade, whether on-premises or in the cloud.
She explains that NVIDIA offers not only the hardware but a full-stack solution that includes validated software and reference architectures. These tools help firms accelerate adoption and deploy AI efficiently across complex workflows.
Ioana focuses particularly on AI’s role in post-trade. She believes AI can dramatically reduce latency in areas like settlement and reconciliation, turning overnight processes into real-time operations. This is especially important for fraud detection and trust-building in payment systems.
Despite this progress, she notes that fraud remains a significant challenge. Traditional rule-based systems are struggling to keep up with increasingly sophisticated threats. AI offers a more dynamic approach, but must be implemented with care.
Looking ahead, she reflects on the future of payments and post-trade, predicting functional convergence between these areas. While institutional differences will likely persist, firms such as the London Stock Exchange Group are already bridging the gap through combined clearing, data and AI solutions.
Geoffrey Dezoppy, Managing Director at Avoloq
with Geoffrey Dezoppy of Avaloq
Geoffrey Dezoppy gives an overview of Avoloq’s role in supporting wealth managers and banks with core systems and client-facing digital solutions. Celebrating 40 years in the market, the firm continues to grow globally, with a new office recently opened in New York.
At Sibos, Geoffrey spoke on how investor behaviour is evolving. Confidence is rising, with around 30 percent of investors increasing activity compared to last year. There is also growing interest in digital assets and private equity.
Trust and transparency, he says, are now critical. Clients expect clear communication, and failure to meet that standard could push them to switch providers. Avoloq is helping banks adapt by providing systems that support both innovation and investor confidence.
The conversation then shifts to instant payments. With new regulations requiring both incoming and outgoing transactions to be processed instantly, banks must now operate 24/7. Geoffrey explains that innovation in system infrastructure has made this possible, even during weekends.
On fraud prevention, he points to the success of AI and biometrics. From face recognition to behavioural analysis, these technologies are helping institutions detect suspicious activity more effectively. He believes biometrics will play an even bigger role in the future, supported by fallback options where needed.
Finally, Geoffrey highlights verification of payee as a key area of regulatory focus. Ensuring the match between a recipient’s name and their IBAN is essential to preventing fraud, and has become a top priority for Avoloq’s clients.
Aoife Doyle, VP Product Marketing at Fenergo
with Aoife Doyle, Fenergo
Aoife Doyle joins the podcast to explore the potential of Agentic AI in transforming financial services, particularly in the onboarding process. She explains how AI can finally unlock the full potential of automation, reducing the manual burden that still characterises much of the compliance journey. With onboarding times for corporates now averaging five and a half weeks, AI offers a way to accelerate processes while allowing teams to focus on higher-value tasks.
She stresses that onboarding isn’t just about ticking regulatory boxes. It’s the first experience clients have with a firm, and delays or inefficiencies can lead to frustration or even client loss. Fenergo’s research reveals that 70 percent of firms have lost clients due to poor onboarding experiences.
The conversation also touches on ethics and regulation in AI deployment. Aoife outlines the importance of human oversight, especially in light of incoming AI legislation such as the EU AI Act. She underlines the need for traceable decisions and fairness in AI systems, with audits and QA checks playing a central role.
Fenergo’s latest Financial Crime Industry Trends report highlights how firms are responding to these challenges. Operational costs continue to rise, but there is growing investment in AI, particularly for financial crime operations. Aoife notes that banks are starting to view AI as the solution to persistent inefficiencies in screening, data analysis and client review processes.
Joel Winteregg, CEO of Vyntra
Joel Wintereggm, CEO, Vyntra
Joel Winteregg introduces Vyntra, a new brand formed from the merger of Intix and NetGuardians, with a clear mission: to help banks navigate the future of account-to-account payments through robust risk management and operational resilience. As instant payments reshape the landscape, Joel sees growing pressure on banks to manage both transaction monitoring and fraud prevention in real time.
He points to markets like Kenya, where mobile money overtook card networks, as a model for how payments could evolve globally. Consumer preferences are shifting, and traditional card networks may face new challenges as banks take on a larger share of the payment infrastructure.
When it comes to financial crime, Joel emphasises the importance of education. Scams are often born on social media platforms, and the first line of defence lies with more informed consumers. On the bank side, profiling customer behaviour is key to detecting suspicious activity.
AI plays a crucial role here, and Joel discusses the benefits of “Collective AI”, where learning is shared across institutions. This collaborative approach enables more effective fraud detection by leveraging data across multiple banks while maintaining compliance through federated learning models. Joel believes this community-based model is the future of fraud prevention.
He also sees wider potential for AI in automating operational processes, especially with the emergence of Agentic AI. As automation tools become more accessible to non-technical users, banks could significantly streamline workflows without sacrificing control or security.
Mark Fieldhouse, Chief Revenue Officer at Form3
Mark Fieldhouse, Form3
Mark Fieldhouse shares how Form3 has spent the past decade building API-first, cloud-native solutions to modernise the payments space. He discusses how AI, cloud, and emerging technologies like quantum computing are converging to accelerate change across financial infrastructure.
Mark sees strong use cases for AI across all layers of the payments stack, from infrastructure deployment to real-time fraud detection. Agentic AI, in particular, is being looked at for protecting payment flows from advanced threats such as deepfakes and voice fraud. AI is also being applied at the point of transaction, enabling faster and more accurate risk decisions.
Fraud prevention remains a core area of focus. Mark explains that while generative AI models can support certain elements, effective fraud detection still depends on high-quality, real-time data. As these technologies mature, he expects them to be embedded across multiple stages of the payment journey.
On regulation, Mark notes that firms are balancing the need for agility with the demands of stability and compliance. Navigating this tension will be one of the defining challenges for banks as they decide which technologies to pursue and when.
Jim Webb, Head of Financial Institution Sales at Zodia
Jim Webb, Zodia
Jim Webb offers insight into Zodia’s role as an institutional-grade digital asset custodian, designed by banks for banks. With backing from Standard Chartered and several other institutions, Zodia is working to bring traditional finance standards into the world of crypto and tokenised assets.
Tokenisation was a key theme at Sibos this year, and Jim sees growing momentum across the industry. He explains that while conversations have shifted from theory to action, tokenisation remains in its early stages, with many firms still exploring the best use cases.
Stablecoins are another area of rapid development. Once viewed as disruptive, they are now being embraced as enablers of faster and more efficient money movement. Jim believes the shift is being driven not just by better understanding, but also by market momentum. As more institutions move into the space, others are keen to follow.
He also addresses concerns about risk and security. While stablecoins can still carry questions around reserves and trust, the entry of traditional banks into the space via deposit tokens is helping ease concerns and foster adoption.
Looking ahead, Jim sees clear distinctions between tokenisation and stablecoins. Tokenisation is largely about expanding access to investment opportunities, while stablecoins are designed to optimise payments. However, he believes the service providers supporting both will likely converge, creating asset-agnostic platforms that serve a broad range of digital financial instruments.
Key Takeaways from the Episode
- Agentic AI is unlocking new levels of automation in onboarding, compliance, and fraud prevention, but human oversight remains essential for ethical and regulatory reasons.
- Financial crime and fraud are growing threats. Education, advanced profiling, and collaborative AI approaches across banks are key to stronger defences.
- Payments are shifting from traditional card networks to instant, account-to-account models, putting pressure on infrastructure and risk management.
- Stablecoins and tokenisation are gaining traction. Stablecoins are improving money movement, while tokenisation is expanding access to investment opportunities.
- Regulation and compliance continue to shape innovation, with banks needing to balance agility with security, resilience, and trust.
