This week’s must-know stories in the Agentic AI, FinTech and Digital Asset space. The latest edition of the Agentic AI & The Future of Finance Newsletter is here:
Image Credits: shutterstock.com
This week’s must-know stories in the Agentic AI, FinTech and Digital Asset space. The latest edition of the Agentic AI & The Future of Finance Newsletter is here:
Image Credits: shutterstock.com
This week’s must-know stories in the Agentic AI, FinTech and Digital Asset space. The latest edition of the Agentic AI & The Future of Finance Newsletter is here:
Image Credits: shutterstock.com
This week’s must-know stories in the Agentic AI, FinTech and Digital Asset space. The latest edition of the Agentic AI & The Future of Finance Newsletter is here:
https://mailchi.mp/bussmannadvisory.com/openai-oracle-sign-300b-cloud-deal-microsoft-taps-anthropic-ai-openai-wins-ms-backing-blackrock-eyes-tokenized-etfsImage Credits: shutterstock.com
This week’s must-know stories in the Agentic AI, FinTech and Digital Asset space. The latest edition of the Agentic AI & The Future of Finance Newsletter is here:
Image Credits: shutterstock.com
As we navigate the rapidly evolving landscape of financial technology, one development stands out as both a powerful defensive tool and a potential source of new vulnerabilities: Agentic AI. Unlike traditional AI systems that simply respond to commands, agentic AI can autonomously make decisions, learn from experiences, and take independent actions to protect financial systems.

The financial sector has always been at the forefront of cybersecurity innovation out of necessity. With financial institutions managing trillions in assets and processing billions of transactions daily, they remain prime targets for increasingly sophisticated cyber threats. A successful attack can result not only in financial losses but also in devastating reputational damage and regulatory consequences.
Traditional cybersecurity approaches in finance have relied on rule-based systems, manual monitoring, and reactive measures. While these have served as a foundation, they increasingly struggle to keep pace with the volume, velocity, and sophistication of modern cyber threats. This is where agentic AI is creating a paradigm shift in how we approach cybersecurity.
According to recent research, 75% of financial firms surveyed by the Bank of England in 2024 reported already using AI in some capacity, with cybersecurity being one of the primary applications. This adoption is accelerating, with 76% of financial organizations planning to implement agentic AI systems within the next 12 months.
Agentic AI represents a fundamental evolution from earlier AI implementations. While traditional AI agents might perform specific tasks like monitoring network traffic or flagging suspicious emails, agentic AI systems can autonomously detect threats, make decisions about how to respond, and take protective actions with minimal human intervention.

One of the most powerful applications of agentic AI in financial cybersecurity is its ability to provide continuous, real-time monitoring of systems for suspicious activities. These systems process vast amounts of data, identifying patterns and anomalies that would be impossible for human teams to detect.
For example, JPMorgan Chase, has implemented agentic AI systems that can detect unusual transaction patterns across millions of accounts simultaneously. These systems don’t just flag potential issues — they can take immediate action to prevent fraud, such as temporarily freezing suspicious transactions until they can be verified.
Agentic AI is transforming how financial institutions evaluate potential vulnerabilities across their networks and applications. These systems can continuously scan for weaknesses, prioritize responses based on severity and potential impact, and dynamically adjust security protocols in response to emerging threats.
Citigroup has established an AI governance board that actively reviews AI-driven decisions for fairness and bias mitigation, ensuring that automated risk assessments remain accurate and unbiased. This approach allows for more comprehensive security coverage while reducing the burden on human security teams.
Perhaps the most significant advantage of agentic AI in cybersecurity is its ability to move from reactive to proactive defense. By analyzing patterns and historical data, these systems can anticipate potential attack vectors and strengthen defenses before attacks occur.
Barclays has adopted a human-in-the-loop model for its AI-driven security systems, where AI predictions about potential threats are reviewed by security experts before major defensive actions are taken. This hybrid approach combines the speed and pattern recognition capabilities of AI with human judgment and contextual understanding.

Advanced financial institutions are now deploying entire ecosystems of specialized AI agents that work together to protect their systems. One AI agent might focus on threat detection, another on incident response, while a third engages in predictive analysis of potential future threats.
This collaborative approach mirrors how human security teams operate but at a scale and speed that would be impossible for human analysts alone. For instance, a leading financial institution implemented a multi-agent system with specialized components:
The result was a significant reduction in fraud losses and enhanced protection for millions of daily transactions.
While agentic AI offers powerful new defensive capabilities, it also introduces new challenges and potential vulnerabilities that financial institutions must address.

A phenomenon called “shadow AI”—the unsanctioned use of AI tools by employees within organizations—is emerging as a significant security concern. Much like shadow IT, this refers to employees using public AI models for data analysis or AI-powered coding assistants without proper vetting.
Financial institutions must be particularly vigilant about this risk, as employees might inadvertently input sensitive financial data into public AI models, potentially exposing confidential information. According to IBM addressing these risks requires “a mix of clear governance policies, comprehensive workforce training, and diligent detection and response.”
The interconnected nature of agentic AI systems introduces new vulnerabilities that cybercriminals are already attempting to exploit. As Nicole Carignan, VP of strategic cyber AI at Darktrace, points out, “multi-agent AI systems, while offering unparalleled efficiency for complex tasks, will introduce vulnerabilities such as data breaches, prompt injections, and data privacy risks.”
Financial institutions must recognize that their AI systems themselves can become targets of attacks, requiring new approaches to securing these critical components of their cybersecurity infrastructure.
As AI agents become more autonomous in their decision-making, questions about accountability and control become increasingly important. The “black box” nature of some AI systems makes it difficult to explain their decisions to regulators, customers, or internal auditors.
Paul Davis, CEO of Bank Slate, emphasizes that “human oversight is still needed to oversee inputs and review the decisioning process. You have to monitor for AI’s blind spots in areas such as risk assessment and crisis management.”
Despite these challenges, financial institutions can take specific steps to harness the power of agentic AI while building robust cyber resilience.
Financial institutions leading in this space have established comprehensive governance frameworks for their AI systems. JPMorgan Chase and HSBC have appointed Chief AI Risk Officers to oversee responsible AI usage, while Citigroup’s AI governance board actively reviews AI-driven decisions.
These governance structures ensure that while AI systems can operate autonomously, proper oversight mechanisms, accountability frameworks, and transparency requirements are in place. This approach aligns with the EU AI Act, which categorizes AI systems into different risk levels and establishes governance requirements accordingly.
The most effective implementations of agentic AI in financial cybersecurity maintain a balance between automation and human oversight. Barclays’ approach of keeping humans involved in reviewing AI-generated security recommendations before major actions are taken represents a thoughtful middle ground.
The most resilient cybersecurity systems combine the strengths of both AI and human intelligence in a continuous learning loop. AI systems detect patterns and anomalies at scale, while human experts provide context, judgment, and strategic direction.
This hybrid approach allows financial institutions to respond to emerging threats more effectively than either AI or human teams could accomplish alone. As threats evolve, both the AI systems and human teams learn and adapt together, creating a continuously improving security posture.
Looking ahead to 2026 and beyond, several trends will shape how agentic AI continues to transform cybersecurity in financial services.
We’re seeing a clear trend away from simple chatbot interfaces towards more sophisticated, autonomous AI agents in security operations. These agents will be capable of not just detecting threats but also responding to them in real-time, often without human intervention.
This shift will raise important questions about accountability and control that financial institutions must address proactively. As these AI agents become more autonomous, ensuring their decision-making processes are transparent, auditable, and aligned with organizational policies will be essential.
By 2027, at least 80% of developers in financial organizations will be using AI-powered coding tools in some capacity. While these tools can significantly speed up development and help identify bugs, they also introduce new security considerations.
Software developers will need to be vigilant about potential biases or errors introduced by AI coding assistants, as well as the possibility of cyber attacks targeting these AI systems themselves. Implementing a “trust and verify” approach to AI-generated code will be critical for maintaining security.
As agentic AI becomes more prevalent in financial cybersecurity, regulatory frameworks will continue to evolve. The EU AI Act represents just the beginning of what will likely be a comprehensive regulatory approach to AI in financial services.
Financial institutions should prepare for increased scrutiny of their AI systems, particularly those used for cybersecurity. Demonstrating responsible AI usage, maintaining appropriate human oversight, and ensuring transparency in AI decision-making will be key to regulatory compliance.
Agentic AI represents both the next frontier in cybersecurity defense and a new domain of potential vulnerability for financial institutions. Its ability to autonomously detect threats, make decisions, and take protective actions offers unprecedented capabilities for defending against increasingly sophisticated cyber attacks.
However, realizing these benefits requires thoughtful implementation, robust governance, and a balanced approach that combines the strengths of AI and human expertise. Financial institutions that get this balance right will not only enhance their security posture but also build greater trust with customers and regulators.
As we prepare for the Point Zero Forum rum 2025, cybersecurity and the role of agentic AI will undoubtedly be central to our discussions about the future of financial services. The forum’s focus on establishing resilient policies, infrastructure, and innovation aligns perfectly with the cybersecurity challenges and opportunities presented by agentic AI.
Remember that building cyber resilience is not a destination but a journey—one that requires continuous adaptation, learning, and collaboration across the financial ecosystem. As I often say, “We are at the beginning of a marathon. It’s not a sprint.” The most successful institutions will be those that approach agentic AI in cybersecurity with both enthusiasm for its potential and thoughtfulness about its implementation.
I look forward to continuing this conversation at the Point Zero Forum in Zurich and exploring how we can collectively harness the power of agentic AI to build a more secure and resilient financial system.
Oliver Bussmann is a global technology thought leader and ambassador to the Point Zero Forum. With extensive experience as a former Group CIO at UBS and SAP, he advises financial institutions on digital transformation strategies and emerging technologies.
Please note that this newsletter reflects Bussmann Advisory’s and Oliver Bussmann’s personal views and not those of any organization we are involved with. This newsletter is for educational purposes only and none of its content should be construed as investment or financial advice of any kind. More information on www.bussmannadvisory.com.
Image Credits: OpenAI
As we approach the Point Zero Forum 2025 in Zurich, I find myself reflecting on how agentic AI is fundamentally reshaping the financial services landscape. This isn’t just another incremental technological advancement – it represents a paradigm shift that’s transforming how financial institutions operate, serve customers, and manage risk.
The financial sector has entered a new phase in its AI journey: from passive assistance to active agency. While traditional AI systems have operated within predefined constraints—retrieving data, summarizing reports, streamlining workflows—agentic AI moves beyond these functions to plan, execute, and adapt complex tasks with minimal human intervention.
What distinguishes agentic AI is its powerful combination of autonomy, adaptability, and coordination capabilities. These systems can make independent decisions, learn from feedback loops, and interact with other AI agents to execute comprehensive workflows. The global market for agentic AI in financial services is projected to grow at an impressive rate of over 40% annually, potentially reaching $80 billion by 2034.
According to Citi’s latest research, references to agentic AI by BigTech in corporate documents and press articles increased 17x in 2024 and are expected to go parabolic in 2025. This signals a significant shift in the industry’s focus and investment priorities.
As financial institutions face increasing pressure to optimize operations, reduce costs, and deliver personalized services at scale, agentic AI offers a powerful solution for automating processes while maintaining accuracy and compliance.
The practical applications of agentic AI across financial services are diverse and already delivering tangible results:
Investment firms like JPMorgan Chase are deploying AI agents to autonomously monitor markets, detect non-obvious correlations, and optimize portfolio allocations. These systems provide adaptive financial advice, real-time savings goal optimization, and personalized investment portfolios.
HSBC’s “Amy” has moved beyond simple customer service to provide more nuanced financial assistance.
For retail customers, virtual financial assistants and tax planning agents are becoming increasingly sophisticated, with Capital One ranking second in “AI maturity” according to Evident AI’s 2024 index, demonstrating how traditional banks are embracing this technology.
In corporate banking, agentic AI enables custom lending offers, optimized loan structures, and dynamic pricing models. Financial planning agents and adaptive tax planning systems help institutional clients navigate complex financial landscapes.
Royal Bank of Canada, is leveraging agentic AI to provide custom research insights and real-time market alerts to institutional investors, giving them a competitive edge in fast-moving markets.
Perhaps most critically, agentic AI is transforming risk management and compliance. Self-learning systems continuously refine fraud detection strategies, identifying new fraud techniques as they emerge. These systems can autonomously assess loans, using local data to evaluate risk without direct human involvement.
Citigroup has established an AI governance board that actively reviews AI-driven decisions for fairness and bias mitigation, while Barclays has adopted a human-in-the-loop model for AI-driven loan approvals to maintain compliance with regulatory standards.
In compliance, agentic AI refines risk assessments in real-time, dynamically responding to emerging threats and anomalies. This capability is particularly valuable in an era of rapidly evolving regulatory requirements and sophisticated financial crimes.
Behind the scenes, agentic AI systems automate routine tasks with context-aware workflows, streamline complex operations, and handle invoice processing and reconciliations. The technology leverages advanced language models to analyze situations, determine appropriate actions, learn from outcomes, execute complex processes, and adapt strategies based on changing conditions in real-time.
Fintech companies like Covecta have demonstrated how agentic AI can handle lending and credit underwriting autonomously, reducing processing times by 80%. Meanwhile, digital-first banks like Revolut and Nubank are experimenting with fully AI-driven operational models, setting the stage for a new banking framework.
The financial services industry is embracing agentic AI at an unprecedented rate. According to a Bank of England survey in 2024, 75% of financial firms reported already using AI, with an additional 10% planning to adopt it within the next three years.
A recent SS&C Blue Prism survey revealed even more ambitious adoption plans, with 87% of organizations actively deploying new AI technologies, 94% considering AI core to their entire business operations, and 76% planning to implement agentic AI systems within 12 months.
However, this rapid adoption isn’t without challenges. The same survey found that 74% of respondents face difficulties in adopting the latest AI technology, with around one-third citing security and compliance concerns, 36% concerned about employee skills, 34% worried about employee fear of losing jobs, and 33% facing technology integration requirements.
Moreover, some reports suggest that as high as 85% of AI initiatives fail, underscoring the gap between AI’s promise and its practical application in enterprise environments.
As agentic AI adoption accelerates, regulatory frameworks are evolving to address the unique challenges these systems present. The EU AI Act represents a significant step in this direction, categorizing AI systems into different risk levels and establishing governance requirements.
Agentic AI’s autonomy and potential to operate with minimal human intervention raise unique regulatory challenges. The EU approach focuses on ensuring that while these systems can operate autonomously, proper oversight mechanisms, accountability frameworks, and transparency requirements are in place.
Financial institutions are responding by establishing robust AI governance structures. JPMorgan Chase and HSBC have appointed Chief AI Risk Officers to oversee responsible AI usage, while Citigroup’s AI governance board actively reviews AI-driven decisions for fairness and bias mitigation.
The upcoming Point Zero Forum in Zurich (May 5-7, 2025) will serve as a critical platform for discussing these developments and their implications. As an ambassador to this prestigious event, I’m particularly excited about the dialogue that will unfold around agentic AI and other transformative technologies.
The Forum will bring together over 2,000 of the world’s leading policymakers, central bankers, regulators, and industry experts to tackle pressing challenges in the financial ecosystem. One of the key questions guiding the 2025 dialogue will be: “Will Agentic AI-driven intelligent systems redefine industrial productivity and unlock new frontiers of innovation?”
The Forum will address two primary themes:
While the potential of agentic AI is immense, significant challenges remain. Financial institutions must navigate concerns around trust, data privacy, cybersecurity, and regulatory compliance. The technology raises questions about job displacement and algorithmic bias that must be addressed thoughtfully.
From my perspective, having worked at the intersection of technology and finance for decades, I see three critical success factors for organizations looking to harness agentic AI:
We stand at the threshold of a new era in financial services, one in which agentic AI will fundamentally reshape how institutions operate, serve customers, and manage risk. The technology’s ability to autonomously make decisions, learn from experiences, and collaborate across systems represents a quantum leap from traditional automation.
Leading financial institutions are already demonstrating the transformative potential of agentic AI, from JPMorgan Chase’s market monitoring systems to Citigroup’s governance frameworks. The rapid adoption rates—with 76% of financial organizations planning to implement agentic AI within a year—underscore the industry’s recognition of this technology’s strategic importance.
As we prepare for the 2025 Point Zero Forum, I encourage financial leaders to consider how this technology can be harnessed responsibly to drive innovation, efficiency, and inclusion. The forum’s focus on AI-driven intelligent systems and their potential to redefine productivity aligns perfectly with the agentic AI revolution unfolding in financial services.
Remember, as I often say, “We are at the beginning of a marathon. It’s not a sprint.” The journey toward fully realizing the potential of agentic AI will require sustained commitment, thoughtful leadership, and collaborative approaches across the industry.
I look forward to continuing this conversation at the Point Zero Forum in Zurich and engaging with many of you on this fascinating topic.
Oliver Bussmann is a global technology thought leader and ambassador to the Point Zero Forum. With extensive experience as a former Group CIO at UBS and SAP, he advises financial institutions on digital transformation strategies and emerging technologies.
Image Credit: Wanan Wanan | shutterstock.com
Please note that this newsletter reflects Bussmann Advisory’s and Oliver Bussmann’s personal views and not those of any organization we are involved with. This newsletter is for educational purposes only and none of its content should be construed as investment or financial advice of any kind. More information on www.bussmannadvisory.com.
This blog post first appeared in Financial News.
There should be no doubt by now that initial coin offerings – token sale fundraisings by startups – have established themselves as new and very compelling forms of capital raising.
Startups, primarily in the blockchain world, raised $4.6bn in various forms of token launches in 2017, a quantum leap from the $0.2 billion raised the year before. While this may not seem like much compared to the $188.8bn raised in traditional IPOs in 2017, five of the largest ICOs in history took place in October and November so there is clearly strong momentum.
This has begun to disrupt above all the traditional venture capital model by providing a compelling alternative fundraising mechanism for startups. An ICO lets a startup take its idea directly to investors for near-instant validation through the crowd, and relieves founders of the often significant time commitment needed to pursue fundraising through traditional means. This in turn gives them more time for their real job: innovation. With a successful ICO, startups can also potentially meet all their capital needs in a single raise rather than needing to constantly raise fresh venture funding.
So it is no surprise people are beginning to ask if ICOs will make venture capital obsolete. I think the new model will almost certainly disrupt the way VC firms do business. But it won‘t mean the end for them.
VC firms still offer founders a lot. Their participation in a project is a strong validation of the idea and they can offer valuable advice in terms of refining concepts and developing business plans. While a single, all-encompassing funding round through an ICO can be tempting, windfalls can lead to excesses. Venture capitalists, which traditionally provide funding in series of smaller rounds, can help ensure founders remain prudent spenders and push them to meet deadlines and achieve milestones.
There are also parts of the ICO market that need to mature before it can attempt to replace venture capital.
The biggest area that requires attention remains regulatory uncertainty. While regulators around the world have generally been attentive to the rise of ICOs, and have worked hard to understand them, there are still a number of thorny legal and regulatory issues to be addressed. There is disparity between jurisdictions and most countries have yet to address cryptocurrency tax questions in a meaningful way.
ICOs also continue to face a serious threat that traditional forms of fundraising do not: that of hacking. We have seen money stolen from token launches through fraud, for example through phishing schemes or fake websites, as well as security flaws in cryptocurrency wallets. If the ICO community cannot address such cyber security issues, it will have a hard time catching on with mainstream investors.
None of which is to say ICOs will be unable to deal with these issues. Various initiatives are underway to improve regulation, security and investor protection.
These include efforts by the industry to regulate itself, for example through codes of conduct like the one we recently developed at the Crypto Valley Association. Increased focus on cyber security is likely to see more structures designed to protect investors, such as lock-up periods forcing investors to more carefully evaluate projects and discouraging ‘pump-and-dump’ schemes, and pre-registration requirements.
In the future we are likely to see more structured funding rounds as well, with caps, increased transparency regarding the need for funds, and innovative ways to govern the use of funds – from voting by investors to smart contracts to ensure that pre-agreed capital expenditure plans are adhered to.
But for the time being, although ICOs are clearly a disruptive development in the world of startup funding, they do not stand to replace traditional venture funding – certainly not yet.
And even as the ICO industry matures there is every reason to think venture capital will remain an important part of the startup process. Venture capitalists could work alongside ICOs by providing funding and advice to refine an idea and develop a business plan before attempting a public funding round.
In fact, combining the benefits of both VC funding and ICOs may turn out to be the best choice for venture capitalists, founders and the broader investor community alike.
For startups, it means access to important expertise at perhaps the most critical moment for the whole venture: its inception. And for VC firms it means still having the chance of getting in early on projects, either with an equity share, early participation in the eventual ICO, or both.
Oliver Bussmann is founder and managing partner of Bussmann Advisory; ex-chief information officer at UBS and SAP; and President of Crypto Valley Association, a Swiss blockchain network.
This blog post first appeared in Coindesk.
2017 was a year of tremendous growth for blockchain, though not in the expected ways.
At the beginning of this year, I and others predicted that 2017 would be the year that blockchain moved from proof-of-concepts into production. We did see some notable successes in this regard.
Ripple became a fully operational platform with over 100 members and payment volumes in the billions, and industries began to form blockchain business networks, for example, the Digital Trade Chain consortium (DTC) in trade finance.
But overall, I expected to see more “go lives” than we did. On the other hand, I don’t think anyone expected the unprecedented growth in the market capitalization of cryptocurrencies or the related ICO boom.
So, what will the new year bring? Despite the obvious perils in making predictions, I feel confident that, among other things, we will see the following:
Now, let’s unpack the details.
Although it was quieter than expected this year, I believe we will continue to see blockchain solutions come into production as enterprises address the “low-hanging fruit” by digitizing businesses and use cases where blockchain can make the most impact.
In fintech, the two most promising use cases remain payments (where there are $50–60 billion of potential savings to be had) and trade finance (which stands to save some $15 billion).
As we saw payments do in 2017, I expect we will see trade finance begin to go live on blockchain in 2018. In payments, momentum will pick up and volumes will increase as larger banks, including correspondent banks, get into the act. These players will be tempted by the advantages blockchain brings in terms of real-time processing, lower risk profiles, lower costs and transparency.
Blockchain can serve as a stick as well as a carrot, simply by proving that there are better alternatives to the status quo in many industries. We can imagine, as an example, that blockchain has had a hand to play in the European Banking Authority’s EU-wide transparency exercises.
We were all somewhat surprised – if pleasantly so – by how well cryptocurrencies did in 2017 as a speculative asset. Indeed, growth was spectacular, with the asset class rising from $14 billion in December 2016 to over $450 billion in December 2017 in terms of market capitalization.
I think this growth will continue to be fueled by traditional asset management approaches, including bitcoin futures, crypto hedge funds and the like, all of which will increase the demand for cryptocurrencies and tokens.
As blockchain continues to change market structures, companies will increasingly focus on changing business models.
In a world where middlemen are becoming obsolete, companies will have to learn to stop thinking in silos and be more open to becoming partners in ecosystems or on broader platforms. That, in turn, means deciding what kinds of business models they want – whether it’s platform plays, product plays, omni-channel strategies, and so on.
These discussions will become multi-dimensional, encompassing both existing services and, increasingly, the new kinds of services that blockchain enables – particularly as blockchain combines with IoT and AI to create new kinds of marketplaces where industry silos come down in favor of broad, horizontal structures.
One of the most satisfying parts of 2017 for me was being able to see this start to happen close-hand among some of the companies I have the privilege to work with. (See disclosures below.)
Deon Digital has partnered with Mercedes Benz to develop a new operating system that will help break down silos in the mobility space. Skycell is a good example of IoT and blockchain opening up the pharmaceutical supply chain to embrace payments, invoicing and insurance. TEND is rethinking investment management by creating a Sharing Economy 2.0 for high-value assets.
One space I think we should keep a particular eye on in 2018 is the fund industry, where firms like Melonport are using blockchain to rethink asset management. I think we will see more of this, and that the fund industry will start to be significantly disrupted next year.
This will start with the management of crypto assets, but over time we will see traditional assets increasingly being tokenized, migrated onto blockchains and managed on-chain.
With startups raising over $3.5 billion in ICOs, 2017 was clearly the year of the token launch.
To me, though, the ICO boom is significant, not necessarily because of the amounts raised, but because we are seeing the beginnings of the democratization of venture capital. And though the concept had a great 2017, change will come to the world of ICOs in 2018 as more traditional players get involved.
Over the next 12-18 months, I expect people with experience and expertise in the IPO world will embrace tokenization as a technical platform, and the whole business will be professionalized, with book building, pricing, startup evaluation and so on happening more along traditional lines.
As we’ve already begun to see, it will be harder to get funding simply on the back of a white paper. Investors will demand sound business plans and high levels of transparency, with all that entails.
One of the key challenges of existing blockchain technology is scale and performance. I predict that next year we will see alternatives to current blockchain technologies that will be more scalable, faster and minimize energy consumption.
IOTA, which has gained a lot of traction lately, is, I think, a project to watch in this regard.
I also believe people will increasingly find that local blockchain ecosystems, where critical services are co-located in one geographical area, are critical success factors for blockchain projects.
This is certainly what we see in the “Crypto Valley” in Switzerland. As the President of the Crypto Valley Association, I hope readers will forgive me for predicting – or at the least, pitching for – the continued success of Switzerland as a blockchain ecosystem.
Crypto Valley has a high concentration of all the services blockchain projects will need to raise money and set up shop, including legal, advisory, tax, accounting, smart contract platforms, KYC/AML utilities and marketing expertise.
This coupled with Switzerland’s other advantages, from its state-of-the-art infrastructure to its highly skilled workforce, will, in my opinion, mean it should remain a great draw for blockchain companies – in the new year and hopefully for many years to come.
Disclosure: Oliver Bussmann is a strategic advisor to IOTA, Deon Digital and Tend, mentioned in this article.
These days I speak and write quite a lot about my conviction that, thanks to blockchain and other emerging technologies, businesses will increasingly move to decentralized models. These new models will be based on large-scale, public platforms that will enable greater integration of value chains, blurring silos between industries and replacing business verticals with horizontal, cross-industry ecosystems.
In my work as an advisor I have the privilege not only of exploring such concepts and sharing ideas with other thought leaders, but also of working with people who are starting to put these ideas into practice.
The TEND project, which I advise, is one of these I think worth noting.
TEND’s vision is to use blockchain and smart contracts to enable people to explore their passions co-investment and co-enjoyment of high-value, meaningful assets – like art, classic cars, luxury watches, fine wine – while offering them a chance to earn a financial return.
I believe it serves as an excellent early example of how the new blockchain-based ecosystems will likely look, as well as illustrative of the kinds of new business models that blockchain-based platforms will make possible.
Here’s why.
As mentioned, the core function of TEND is to provide a platform for users to co-own, enjoy and trade high-value assets. Blockchain and smart contracts allow TEND to do this in a highly efficient, digital way.
These technologies, for instance, make it easy to create co-ownership arrangements tailored to the specific asset and experience in question, and to store these agreements on a decentralized, independently verifiable and tamper-proof public ledger.
As a result, TEND users have full transparency on the terms of their agreements and, more importantly – since smart contracts are self-executing computer code – can be sure that they will be carried out as written. That makes the platform both highly efficient and trustworthy.
Blockchain also gives TEND users a high degree of confidence in the assets themselves. Vetted and verified when they are onboarded, all pertinent information about each asset is indelibly recorded on the public ledger and constantly updated.
That means TEND users can view, and trust, the entire asset history up to the present moment. This level of transparency and trust is particularly important for high-value assets like the ones on TEND, but is hard to achieve in non-blockchain settings.
Blockchain’s trust-creating properties also provide peace of mind on a platform level. Because all transactions are immutably recorded on the blockchain, users can have complete trust in the transaction history. Because they can be sure this data cannot be manipulated in any way, users and partners can place the same faith in the TEND platform as a whole – despite it being a completely new business. This too is important in a platform dealing with high-value assets.
Finally, by running on Ethereum, TEND leverages an already existing, robust market infrastructure. That makes it extremely efficient to run, and hence very cost-effective for users. Ethereum makes TEND highly scalable as well, supporting its longer-term ambition of building a global platform.
TEND is predicated on the belief, which I share, that the blockchain has a crucial role to play in helping to create a hyper-connected, decentralized, and transparent world.
In the case of TEND, these qualities are being used to enable what we might call the Sharing Economy 2.0: a token-based economy with no intermediaries in which technology helps to democratize, in a secure and trustworthy fashion, access to assets and financial solutions that before were available only to the wealthiest few.
This is a different world in many respects.
In the Sharing Economy 1.0 we have today, the platforms in the middle still take the largest slice of the pie. In the new sharing economy, blockchain and smart contracts eliminate these middlemen by enabling direct one-to-one relationships between the parties of a transaction. That allows the participants to capture most if not all of the value created by their arrangement.
In this new sharing economy tokenization also makes it easier, and provides new incentives, for parties to work together directly. That drives adoption of these platforms, making them broader and ever more useful.
In a blockchain-based platform users enjoy a balance of privacy and connectivity that is not available in the centralized systems we have today. That’s because blockchains can give users complete control over their data, allowing them to share only the information they deem necessary and to control its use. That’s an extremely strong value proposition that will lead to new, and more powerful, kinds of network effects.
It may have been possible to integrate investment, experience, risk mitigation and the various stakeholders in a single platform like TEND before blockchain, but it certainly would not have been as easy or quick – or, for that matter, as secure.
I am convinced that such ecosystems are the wave of the future, and that projects like TEND can serve as an excellent indication of how that future may look. Please note that I am a Strategic Advisor to Tend Technologies.
By Falk Rieker and Oliver Bussmann
In a previous post we pointed out that corporate banks were in danger of falling behind the technology curve. We also said that banks needed to respond through full-scale digitalization.
In this post we’d like to take a deeper look at the principles we think should guide this transformation.
We strongly believe the future will be one of platforms and ecosystems in which large networks of providers contribute to the collective value chain. Banks, however, have traditionally taken the opposite approach, serving most if not all of their value chain themselves.
This will not be sustainable in the coming world of regulatory mandated open banking, nor in a technology environment where banks but also third-party providers and clients can already easily consume financial services on broad-based platforms (think SAP Cloud, AWS, Google Cloud or Microsoft Azure).
We’ve seen other industries, like manufacturing, successfully implement multi-provider value chains. We think banks must focus on putting the infrastructure in place to build such value chains in financial services too – for example, by taking advantage of the burgeoning third-party Fintech offering.
In doing so, they must be careful to position themselves as platform owners. This is very important. Today banks own the customer relationship. If they don’t take the initiative to secure their place as the central players in the new ecosystems, they run the risk of losing that ownership, which would be disastrous.
One way we think banks can keep customers close is by extending their offering.
This can be within financial services, for example by providing insurance, accounting and tax services, or data analytics. Or, it can be by moving beyond financial services: banks offering supply chain finance, for example, could collaborate with partners to offer warehousing and logistics support too.
In this way banks can become a one-stop shop for corporate clients in the same way platforms like Amazon have become for consumers. This may sound farfetched. But with today’s technology, it is hardly impossible. We see no reason why banks shouldn’t explore broadening their business model beyond traditional banking.
The good news is, when it comes to building such ecosystems, incumbent banks have a significant advantage: their reams of customer data. To capitalize they will need to up their game when it comes to exploiting it for useful insight.
We have often asked ourselves why it is that in the enterprise world we can’t ask a question and get an immediate answer the same way we do every day in our private lives with Google?
The secret is being proactive – and predictive. Companies like Facebook and Google don’t just have data on their customers; they have real-time intelligence on what they are asking about. This lets them provide answers more quickly and precisely, and keeps them on the pulse of user needs. Banks must develop the capabilities to do the same.
All of this calls for relentless innovation. Banks must digitalize, build the open infrastructures we have alluded to above, and master the new technologies like blockchain, machine learning, and artificial intelligence that will allow them to put the pieces together into a meaningful whole.
The need is all the more urgent considering that many other industries have already completed this process.
As a result, not only will corporate customers increasingly ask for the type of real-time, on-demand banking services that retail customers receive – they will also have the systems in place to consume them. Those banks that can meet this demand, for example by integrating their offerings directly into their customers’ ERP systems, will have a distinct advantage.
Last but not least, banks must be able to adjust to new business models as market dynamics change.
Take the sharing economy. In the past, people bought their own cars, motorbikes or boats. In the future, people will prefer not to own but to pay per use. We will see similar developments in the enterprise.
Banks as service providers could do well in such a world, but they will need things like advanced analytics to predict usage patterns and so be ready with the right products at the right time.
By mastering platform and ecosystem thinking, we think banks will be able to maintain their positions and even grow their businesses.
For its part, SAP has already reacted to these realities – building both an infrastructure layer (the SAP Cloud Platform) and a digital innovation system, (SAP Leonardo), both of which provide the foundations upon which to grow ecosystems.
We are convinced that the future belongs to platforms and network-based ecosystems. If they can seize the day, corporate banks have an opportunity to play a leading role in them.
If you are interested in learning more about the future of corporate banking, please join the discuss and meet Oliver Bussmann and Falk Rieker at the Sibos in Toronto on October 16th.
Bussmann Advisory helps C-suite executives, entrepreneurs and decision makers stay ahead of the digital disruption curve. With a client base covering top-tier banks, leading blockchain startups, global consultancies and other firms facing disruption, as well as strong connections in the global FinTech community, the Bussmann Advisory team is close to the pulse of the rapid changes facing industry. It provides thought leadership and advisory services above all in digital transformation, innovation orchestration, and business model re-creation.