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How AI is Transforming The Way Banks Onboard New Accounts

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Deanna Ritchie


With fresh scrutiny on the banking system following the collapse of Silicon Valley Bank, there is another aspect of the financial system that often gets less attention: the vulnerability of the technology systems that global financial institutions operate on.

While the end-user experience of financial services, both in institutional and retail settings, has transformed significantly — due in large part to digital — online banking, trading, global transfers, etc. The underlying infrastructure behind the scenes that makes these transactions happen is actually much more analog than many realize.

Suppose you look at institutional-level finance, where systemic risks are often highest. In that case, many activities at banks, broker-dealers, and investment management firms, such as account onboarding (also known as pre-trade setup) and the post-trade processes following a transaction, are actually quite manual. Processes involving disparate emails, spreadsheets, and even faxes combine to complete a complex web of touchpoints that make the global financial system run. Any software that undergirds the process is often a legacy system that has become outmoded by the latest advances in Cloud, AI, and more.

Errors in the Process

A single touch point in this complex web being mismanaged or overlooked by human error can wreak havoc on a transaction and, when compounded, the overall efficiency of the global system. In fact, these errors happen quite often — nearly every day. Additional time, resources, and costs are then expended to correct the error. A 2017 study from the Depository Trust & Clearing Corporation (DTCC) titled The Industry View on Trade Exceptions found that nearly 20% of all financial trades fail due to bad data caused by these sorts of disparate operating processes.

Clients of financial institutions are noticing the problem as well. A 2017 Thomson Reuters survey titled KYC Compliance: The Rising Challenge of Corporates of more than 1,000 financial institutions found that 84% of clients have a negative view of their current onboarding experience.

Digital Transformation in A Reluctant Industry

The need for a digital transformation among financial institutions is glaring. The costs, financially and in terms of efficiency, have become obvious. Technology has introduced many advances, such as AI and Cloud, that can help centralize and streamline many of banking’s most arduous processes. However, the industry has been historically slow to embrace cutting-edge technologies– with compliance concerns only adding to the reluctance.

Rather than undertaking a costly and often unproductive innovation process internally, many of the world’s largest institutions have begun turning to a platform that emerged in 2019 called Saphyre. The AI-driven platform offers interoperability that allows firms to bring order to chaos. This holds true in both account onboarding as well as post-trade processes.

The impetus for the development of Saphyre was simple. Co-founded by twin brothers, Stephen and Gabino Roche, the duo recognized the crippling pain points that existed in the back offices of banks after Gabino had spent time working at some of the world’s largest. They realized the potential to harness AI to centralize what had previously been a string of emails and faxes. “Instead of the manual email, faxes, and spreadsheets being separately managed, we should be looking at a centralized cloud solution where all external parties can grant permission and see the same information at the same time,” said Saphyre President Stephen Roche.

“Then we provide intelligence knowing the relationship along with the context of each data point and document shared and put that structure in place in the pre-trade to maintain the data integrity through the lifecycle of a fund/trade.”

Processes and AI

Saphyre CEO Gabino Roche, in a recent article for Advisors Magazine, noted of the current process followed by many banks that “there’s duct tape behind some of these banks to connect all these systems to translate the information and keep everything running smoothly, unbeknownst to you, the customer or these different investment managers and hedge funds,” He went on to add, “ Conducting all of this across email, fax and spreadsheet means they can be intercepted. If you put it on a secure, interoperable platform, then you can enable the democratization of that data to actually seamlessly integrate and map to all those legacy internal systems from the 1980s and ’90s mainframes.”

Creating a streamlined process along with secure access to permissioned parties and ease of sharing, Saphyre was able to work through the pain points that had plagued pre-and post-trade of the world’s biggest firms for decades. The outcome realized by Saphyre’s early clients was enormous.

The platform caught the eye of JP Morgan, which became an early client. But, it also led to Saphyre’s funding round raises in 2020, which totaled more than $18M in backing. Now an outsize number of the world’s leading asset managers, broker-dealers, and custodians utilize the Saphyre platform. Recent press releases indicate that industry heavyweights, including Blackrock, BNY Mellon, Northern Trust, American Century Investments, LGIM, and Franklin Templeton, have all joined the platform.

The Future of Financial Markets

The banking industry, as well as capital markets around the world, look poised to increasingly rely on AI and other innovations to maintain secure and efficient markets as transaction volume in the 24/7 marketplace continues to expand.

Many industry players have their eyes on a goal known as T-0 (or T-Zero), meaning the reduction of time required to close a financial trade down to zero or the same day. Global markets currently operate under a T-2 framework with 48 hours needed to complete transactions. The origin of T-2 largely traces back to the underlying manual processes required to complete transactions behind the scenes. While the industry has long pushed to move to T-0, the operational complexities in a manual system were too daunting to make it feasible. Many experts now believe the reality could be near thanks to AI and automation.

The efficiency and accuracy of global financial powerhouses have become more systematically crucial than ever before. This is especially true in a volatile marketplace that is fast-moving. Saphyre has boldly bet on building the necessary technology to get there.

Featured Image Credit: Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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Fintech Kennek raises $12.5M seed round to digitize lending

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Google eyed for $2 billion Anthropic deal after major Amazon play


London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Fortune 500’s race for generative AI breakthroughs

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Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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UK seizes web3 opportunity simplifying crypto regulations

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Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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