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Finovate Blog
Tracking fintech, banking & financial services innovations since 1994
John Waupsh is Chief Innovation Officer of Kasasa, an award-winning financial technology and marketing technology provider. Ahead of his session at FinovateSpring where John will talk about the role of the branch in a digital world, he discusses how loans should help people save for retirement.
Building retirement savings is not a strong suit for many Americans. According to a 2018 survey by GoBankingRates, more than 40 percent of Americans have less than $10,000 saved for retirement, including the 14 percent with $0 saved for retirement. Financial planning experts frequently recommend having at least eight times your salary saved for your post-career future, and with life expectancy continuing to increase, the minimal recommend savings will likely rise even higher.
It’s so easy for consumers to put off saving for retirement. Their last day on the job seems so far away, and bearing today’s financial burdens like bills and loan payments often means restricting, reducing or simply never beginning to save for tomorrow.
But there’s a better way.
Historically, consumers have often felt like they must jump through three hoops before starting to save for retirement or increasing investments in their future. First, they must be meeting their primary needs like paying power bills and buying groceries. Second, many want to build cushions of both emergency and “fun money,” in case the need arises to pay for a last-minute home repair, an unforeseen medical expense or even a spontaneous weekend vacation. Last, many want to pay off their debt before beginning to save or increasing retirement contributions. These second and third hoops are where many consumers are missing out.
Despite the fact that most Americans want to pay off their loans faster to increase retirement savings, those that meet their primary needs rarely pay extra toward their monthly loan payments because it’s money they can never get back if they need or want it later.
That’s changing with the Kasasa Loan. It is the only loan product that can serve as a tool for building savings through the ability to take-back extra payments.
A loan that allows borrowers to pay ahead to reduce debt, but take that extra back if they need it, eliminates the fear of parting with ‘extra money,’ enabling the consumer to make better financial decisions like paying down debt faster. And when debt is paid down sooner, consumers are freed up to boost retirement savings earlier, when it really counts due to the power of compound interest. Consumers like this option. In fact, according to a recent study, nine out of ten consumers prefer a loan with take-back functionality over comparably priced loans, and 98 percent of consumers say they would refinance existing debt at the same rate to have the flexibility of taking back their extra payments.
In addition to flexibility, visual transparency is something that the lending world has been lacking until now. The innovation of sleek, mobile-friendly dashboards in personal financial management (PFM) apps have long helped consumers budget and visually understand their money. Consumers should now expect the same features from a loan. Having the ability to actually see the impact of extra payments enables borrowers to comprehend better the impact of paying down their loan faster and therefore, make smarter financial decisions for their future.
As Baby Boomers, Gen Xers, Millennials and even Generation Z inch closer to retirement, there is an opportunity for these consumers to make better borrowing decisions by choosing a loan that is extremely flexible, easy to work with, and visually transparent. In the past, taking out a loan has prevented consumers from saving for their future. Now, it is possible for them to borrow in a way that not only doesn’t hurt their retirement funds but actually helps them save.
Banks and financial institutions have long been at the forefront of adopting technologies to increase efficiencies and provide better service to customers. From ATMs to online banking, they’ve helped to seamlessly integrate transactional technologies into the customer’s daily life. Financial institutions currently find themselves at the forefront of adopting new cognitive AI technologies that are redefining and elevating the customer experience. To add to our webinar, we speak to Grant Thornton about the realities of what fintech really means, and how you can capitalize on the impressive challenges we should expect over the next decade.
Finovate: How can your organisation prepare for and embrace the rise of intelligent automation? What are the key steps to consider?
Grant Thornton: Intelligent automation, including robotics and artificial intelligence, have transformed entire industries over the last two decades. Now it’s time for the financial services industry. Although it’s still early, financial services is headed down the same inevitable path to disruption and towards an explosion in productivity and efficiency.
In the next 5-10 years, the productivity of the enterprise will be transformed through multiple technologies, such as Robotic Process Automation (RPA), Natural Language Processing (NLP), or Artificial Intelligence (AI).
Fintech represents a long-term, systemic change in the industry. The only successful way forward is to take a long-term view. The key is to plan for a steady pace of adoption for interrelated technologies rather than focus on individual projects and siloed technological innovations that will not build upon each other.
The first step is to improve your “digital quotient” — the extent to which your processes, information, data and activities are in digital form. A high digital quotient makes your path to the cognitive enterprise easier.
To build your digital quotient, take a clear look at your efficiencies and operating model:
How many processes and activities are digitally accessible?
How much data is available?
How much conversion work is needed?
Start by piloting small, focused projects that are clearly measurable and materially understood. Engage your C-Suite and ensure that they understand the importance of building your organization’s digital quotient. They need to support the significant operational and cultural changes that come with becoming an automated cognitive enterprise. This is critical to your organization’s success.
Finovate: Do customers expect AI-driven experiences in their interactions with businesses?
Grant Thornton: Thanks to their experience with leading retailers and technology giants—including Apple’s Siri and Google’s Alexa—we believe customers will not only expect, but will actually demand AI-driven experiences in their interactions.
In fact, AI will soon seem normal:
By 2020, IBM[1] projects that more than 85% of all customer interactions will be handled without the need for a human agent.
By 2025, Forbes Magazine[2] estimates that 95% of customer interactions will be supported by AI technology.
AI empowers personalization like never before. Customers don’t want to be treated as “one of the crowd.” Companies such as Amazon, Walmart and Google set high standards for quality of personalized customer experience, and customers routinely compare their experiences with financial institutions to their most recent shopping experience.
Finovate: What are the key advantages of offering chatbot interaction? Do customers consider communication with chatbots as a 2-way communication channel? In the future, will banks have something like an Alexa to guide their customers through their website and services?
Grant Thornton: According to a report by Grand View Research reported on BusinessInsider.com[3], the global chatbot market is expected to reach $1.23 billion by 2025, an annual growth rate of 24.3 percent. Likewise InfoWorld.com[4] reports that approximately 45 percent of global users prefer chatbots as the primary mode of communication for customer service inquires.
In fact, according to ForbesMagazine[5], chatbots are becoming so common that consumers are growing to expect them. For example:
Domino’s uses a Facebook Messenger chatbot named Dom that allows customers to place an order simply by sending a message that says “pizza”. The bot gets the details and the order is completed faster than a customer could call the store or drive to place an order.
China Merchant Bank, one of the largest credit card companies in China, takes advantage of AI bots to interact with a huge number of customers. The bank’s WeChat Messenger bot handles 1.5 to 2 million customer conversations each day, mostly about things like card balances and payments. Customers can quickly get the information they need, and it saves the bank from hiring thousands of human employees to match the same volume of requests.
In banking, chatbots can go beyond the basic functions of mobile banking, enabling banks to start a conversation about each customer’s finances. They can use predictive analytics, and cognitive messaging to perform tasks ranging from making payments to checking balances and paying down debt and even notifying customers of personalized savings opportunities.
Millennials, in particular, seem to be enthusiastic about computer-generated advice and services. This trend reflects the fact that they typically gravitate toward the latest in digital banking technologies as digital natives. This is not just because these tools are cool or cutting-edge, but because they deliver banking customer experiences that are simple, consistent and relevant.
Finovate: Can you share what intelligent opportunities are available for the customer within personalised eCommerce experience?
Grant Thornton: It’s one thing to know what the consumer wants and what should be done to provide a differentiated and contextual consumer experience—it’s another to be able to deliver on the “personalization promise.”
Staying relevant in today’s competitive environment demands personalization. Unlike most banks, Fintech firms provide consumers with an improved digital experience based on contextual insight and simplified delivery of financial services. These smaller start-ups build solutions that often are superior to those from legacy financial institutions by leveraging advanced analytics of consumer data and digital technology.
Whether they’re patronizing traditional legacy banking institutions or the newest of Fintech startups, consumers demand deals and discounts, convenience, relevance and customer experiences that combine the latest in digital banking with human interaction. They will share personal data to get what they want, and will switch if they do not.
Finovate: How to achieve balance between the human touch and technology in customer experience? Does AI contribute to the true currency of a customer relationship – engagement and loyalty?
Grant Thornton: Because consumers do the vast majority of their shopping for a new financial institution using digital channels, it is no longer adequate to wait until the customer or member walks into a branch or decides to purchase a new product online or via smartphone.
Instead, banks need to engage customers at the earliest stages of their purchase journey.
AI is an important tool for institutions that seek to become a bank with a “personal touch.” They should not, however, presume that frequent customer interactions alone create true engagement or develop enduring relationships. What really matters is the quality and personal relevance of customer communications.
Banks must put customers’ wants and needs at the heart of all activities. They need to shift their focus from simply selling products and services towards providing relevant and contextual financial advice. In other words, a bank should demonstrate a true interest in customers’ financial well-being. AI affords banks the insight and capability they need to make this shift in focus.
Finovate: How can an organisation capitalise on the deployment of a smart AI/ML solution?
Grant Thornton: At the most basic level, technological advances can boost process efficiency, which translates to faster, around-the-clock responses to customer inquiries. Additionally, chabots powered AI/ML can assist customers through the online account opening process by proactively suggesting personalized services based on life events and previous banking experiences.
Beyond traditional uses for financial performance and regulatory reporting, data can be collected, processed and analyzed as a means to understanding customers’ expectations in order to enhance their experience. As banks advance their digital programs, they can uncover insights about trends, products and services to improve, which to discontinue, and where to devote resources. This results in institutional cost savings, but more importantly, in greater customer satisfaction.
At a higher level, AI/ML solutions can reveal new opportunities by tapping into underutilized data sources. For example, monitoring internet browsing and uniting customer, product and pricing data can reveal new insights into customer desires and preferences. With this knowledge, a bank can nuance solutions and target ads to specific consumer groups and influencers.
Finally, smart AI/ML solutions can help banks access data that supports or enhances their overall strategic framework. In the process, they can develop a holistic understanding of their customers, opening the door to faster, more flexible product prototypes that are responsive based on the data and interaction that the customers are providing.
This holistic picture of the customer needs enables financial institutions to be proactive and to cross-sell more effectively. In essence, they are able to more effectively anticipate and serve customer needs, helping them on their journey while increasing share of wallet.
“Banks need to ask themselves whether they are flexible and sensitive enough to adapt to the rapidly changing context.” Harrie Vollaard, Head of FinTech Ventures at Rabobank, has established several partnerships with startups, manages the Fintech investments for the Rabobank, is involved in Fintech accelerator programs around the globe, and created several spinoffs. Speaking at FinovateEurope 2018 about Creating A Digital Investment Experience To Compete In A Zero Interest Rate Environment, we chat to him about his key tips for banks who strive to create a successful digital agenda.
Finovate: What does a bank need to focus on when building a digital agenda?
Vollaard: There are three key areas that banks need address to build their digital agenda:
1. A clear innovation thesis and establishing the areas you want to focus on. Here are four areas that we have defined: financial cruise control, platform banking, emerging technologies as business model enablers, and data for food.
2. Open infrastructure to collaborate. To facilitate in- and out-coming datastreams as well as delivering services to third parties and incorporating external services. I envision a satellite structure of the bank’s core assets surrounded by an ecosystem of third parties and startups where the bank is still the first point of contact.
3. A company-wide digital DNA. This is the key success factor and enabler of innovation. Innovation departments running innovation projects and proof of concepts are essential, but in order to be successful you need scale. Scale can only be accomplished through the business lines and marketing department. The bank needs to look beyond the existing products and that can only be accomplished via a customer-first approach, which means a full adoption of a lean startup methodology and product development processes that facilitate iterative learning. A more Darwinian approach is also preferable; it is not the best executed project but the most adaptable organisation who survives. Banks need to ask themselves whether they are flexible and sensitive enough to adapt to the rapidly changing context.
Finovate: How does the fintech sector offer a growth opportunity for banks?
Vollaard: It offers growth in three key areas:
1. Delivering better, more transparant and cheaper services to our clients (challenger banks, personal finance management, market place lending), streamline business processes (by use of Artificial Intelligence, Blockchain), taking out risk (RegTech). The bottom line it the business model optimization; to improve cost/income ration and to increase customer satisfaction.
2. Adding additional services on top of existing banking infrastructure; services more embedded in the real life/business of the clients. A shift from product oriented to service oriented, related to the real customers needs/pains. E.g. in the value added services on top of payments. Bottom line it is business model extension fulfilling customer/client needs embedded in real life events.
3. Exploring new innovation areas; reinvent the business model of the bank. E.g. transforming your assets in to new service offerings to your clients (e.g. delivering trust services (secure login, authentication, signing services to our clients). In general it means cross industry innovations. Example: We developed an FX platform for ourselves which now can be solved as a B2B solution to other financial institutions. Bottom line it is business model innovation.
Finovate: How has Rabobank collaborated with fintechs to expand products and services for customers?
Vollaard: 90% of the collaboration with fintechs are focused incorporating their services in the service offerings of the bank or in the business processes of the banks.. E.g. Sparkholder with loanstreet; a pre-approved finance tool for SMEs.
9% of Rabobank is an extension of our services, such as Rabo&Co with FinTech Cloud Lending solutions, which is a market place lending solution for SME clients.
1% of the collaboration is related to business model innovation, such as working together with fintech Signicat delivering e-business services iDin (secure login, authentication, signing services to our clients). With our corporate investment arm Rabo Frontier Ventures we are focusing on this category.
Finovate: What are the drivers for change in digital investing?
Vollaard: The most obvious one is the customer and business need. Although this seems like a no-brainer, for the incumbents it means a transformation from a portfolio of financial products (which served the customers of the past) to financial services that fit the customer needs of today.
Another driver is the technologies that offer us opportunities we have never seen before, such as risk models/predictions based on different data sources, optimizing business processes, and new revenue streams.
Finally, there is the regulatory motivation and the harmonization of legislation across Europe to stimulate innovation and lower the thresholds to then expand.
Finovate: How can you compete in a zero interest rate environment?
Vollaard: By making investment more accessible; a mobile only investment app focused on millennials whereby the roundups from transactions are invested in ETFs. The threshold is very low to invest in and a small amount being invested on very regular bases counts up without the customer even noticing. It is completely chat-based, user friendly, design-focused and automated with low cost operation. It is a new and engaged target group.
We know the success that Betterment, Wealthfront, Nutmeg have had serving customers via insightful and user-friendly websites. Inspired by them, we introduced last year Rabo Beheerd Beleggen, which has been accepted with huge success.
Finovate: What will new technologies – like artificial intelligence and blockchain – mean for investment management?
Vollaard: The second wave of technologies impacting the financial industry will offer substantial investment opportunities and reduce costs significantly.
AI can slash down costs by 30% by reducing manual work, and blockchain/smart contracts will eliminate steps in the value chain.
Speaking at FinovateEurope 2018, Rohit Talwar – global futurist, author, and the CEO of Fast Future – discussed The Rise Of The Machines – The AI Revolution And The Road To Superintelligence. He specialises in the future of financial services and the challenges of preparing society for the disruptive impacts of exponential technologies.
Clear away the vendor hype and desperate “me too” announcements from across the sector, and the evidence is starting to mount that financial services is exploring serious applications of artificial intelligence (AI). The technology is being deployed in everything from complex internal reconciliations, risk identification, and fraud detection through to customer service chatbots, robo trading, and targeted marketing based on deep customer profiling. Furthermore, in the fast-paced world of fintech start-ups, we are seeing AI-powered hedge funds and advisory firms, personal finance managers, and a host of sites that offer us the potential to streamline traditionally slow and expensive processes for everything from invoice financing to personal insurance.
So, now the game is on, where can we see it evolving to in the coming years? One area is in real-time fraud detection for banking and credit card transactions – spotting and preventing situations that might otherwise take us weeks to resolve. At another level, investors and regulators could eventually be able to monitor the behaviour of fund managers and personal advisors. These systems would examine transactional behaviour, personal spending patterns, and social media activity to detect the potential for insider trading, market manipulation, and misuse of client funds.
For individuals, the aggregation of our personal data with that of millions of other people will allow our intelligent finance advisors to recommend cheaper alternatives for goods and services we buy regularly. The next step would be to aggregate our purchasing to secure discounts from key suppliers. Indeed, we might authorize these advanced comparison tools to switch our purchases, insurances, and even savings on a continuous basis to whoever is offering us the best deal.
Taking this a stage further, new opportunities might arise for those who have a detailed understanding of our lifestyles from travel, to dining, and clothing purchases and link this to our personal financial management. Such sites might be authorised to trade unused airmiles and store loyalty points on our behalf, negotiate entertainment discounts for us, accept paid adverts to our social networks, and rent out our driveway as a parking space. Such systems would then invest any cash surpluses earned on a moment by moment basis using our preferred risk profile as a guide.
The next evolution might to employ a personal AI clone or “digital twin”. These applications would build a detailed understanding of our lifestyles and be authorized to buy, save, sell, or trade on our behalf. Depending on the level of authorization, they might undertake credit card purchases, bank transactions, and bill payments, complete loan or mortgage applications, and even make impulse buys. The system might report back on every transaction or simply deliver an end of day voice or video mail to update on the day’s activities.
The list of potential applications is literally limitless. From streamlining and reducing the cost of activities that are currently an expensive hassle, through to finding new ways of making our finances go further, AI seems increasingly likely to become a vital part of the financial ecosystem. While many of the new AI ventures will go the way of most start-ups and fade away, some will survive. Furthermore, the best ideas are likely to be adopted by more established players as they seek to transform themselves into more customer centric enterprises. The hope is that successive waves of AI innovation will help us make far better use of all the assets at our disposal – not just our cash.
As the number of women representing start-ups at FinovateEurope 2018 is at its highest since conception, we gather some of the leading ladies in fintech to discuss how the industry has evolved, what practical steps can be taken to move keep moving forward and why male colleagues and peers need to get involved too.
The panel:
Julie Muhn, Senior Research Analyst, Finovate
Magdalena Kron, Head of Rise London & VP Open Innovation, Barclays Bank
A look at the companies demoing live at FinovateEurope on the 6 through 9 of March 2018 in London. Pick up your tickets today and save your spot.
Avaloq is a leader in core banking software and digital technology, and a provider of Software-as-a-Service (SaaS) and Business Process-as-a-Service (BPaaS) solutions for banks and wealth managers.
Features
Automated setting of risk-optimsed investment objectives
Dynamic investment policies
Delivered as a cloud-enabled microservice
Why it’s great
Avaloq puts the client at the centre of the investment advisory process by automating the creation of dynamic investment strategies.
Presenters
Santiago Schuppisser, Senior Product Manager
Schuppisser leads product management for wealth advisory. He is a former investment advisor within private banking where he was also responsible for bringing hybrid advisory solutions to market. LinkedIn
Esther Kaufmann, Senior Product Manager
Kaufmann is the product manager for investment and credit solutions at Avaloq. She has a background in leading major banking projects within wealth management with a focus on cash operations and financing. LinkedIn
A look at the companies demoing live at FinovateEurope on the 6 through 9 of March 2018 in London. Pick up your tickets today and save your spot.
Onfido uses machine learning to help over 1,500 global businesses verify the identities of their customers using just a picture of an ID card and a selfie video.
Features
The most sophisticated anti-spoofing technology on the market
Users perform randomised actions to gain access to online services
Businesses can onboard at scale while minimizing risk
Why it’s great
Onfido’s Facial Check with Video is the market’s most robust liveness detection, helping prevent identity fraud and enabling online businesses to scale.
Presenters
Husayn Kassai, CEO & Co-Founder
Kassai is the CEO and co-founder of Onfido. He was named one of Forbes’ 30 Under 30 in 2016, and currently sits on the All Party Parliamentary Group on AI. LinkedIn
A look at the companies demoing live at FinovateEurope on the 6 through 9 of March 2018 in London. Pick up your tickets today and save your spot.
CASHOFF brings strongly differentiated loyalty programmes based on goods purchased via cashback offers. The programmes offer visibility into items purchased directly from suppliers while providing smart advice and co-marketing within a web and mobile banking app.
Features
Offers a white-label service inside both web and mobile banking apps
Enhances the consumer experience through a gamification strategy and a targeted approach
Gathers and analyzes consumers’ financial data
Why it’s great
The programme defines patterns of consumer buying behavior and preferences through deep data analysis leveraging AI and machine learning to create targeted, beneficial offers that increase consumer activity and engagement.
Presenters
Yulia Clarke, Marketing Director
With demonstrated leadership, Clarke has a creative approach in managing strategy, corporate image, positioning of product and services, and supporting innovations inside the banking sector worldwide.
A look at the companies demoing live at FinovateEurope on the 6 through 9 of March 2018 in London. Pick up your tickets today and save your spot.
Salt Edge’s open banking solution enables any bank to become compliant with the directive’s regulatory and technical requirements in the span of a few months.
Features
TPP verification and onboarding, AISP/PISP dedicated channels, SCA Solution
Management of end customer consents and trusted beneficiaries
Monitoring, triggers, fraud reporting
Why it’s great
Salt Edge takes on all the technical burdens of implementation, support, and TPPs onboarding by providing a SaaS-based PSD2 and open banking solution.
Presenters
Dmitrii Barbasura, Founder & CEO
Barbasura is the founder and acting CEO of Salt Edge. His background varies from software programming and SaaS/PaaS development to IT management and running a successful e-commerce businesses. LinkedIn
Lisa Terziman-Gutu, Business Development EMEA
Terziman-Gutu isthe company’s business development officer in charge of the EMEA region. She is experienced in user experience and product management and previously co-founded Fentury, the personal finance advisor. LinkedIn
A look at the companies demoing live at FinovateEurope on the 6 through 9 of March 2018 in London. Pick up your tickets today and save your spot.
DataSine uses psychology and machine learning to help companies create a unique customer experience based on individual needs and personalities.
Features
Transforms customer data into valuable personality insights
Optimally segments customer audience by personality type
Offers automated data and psychology-driven content improvement
Why it’s great
DataSine enables companies to make personalisation possible at scale, building trust with customers and increasing overall engagement and lifetime value.
Presenters
Igor Volzhanin, CEO
Volzhanin founded DataSine in 2015 with a background in psychology and computer science. He is working to change the way banks view their customers. LinkedIn
James Gin, Chief Scientist
Gin brings experience in financial modeling and business analytics, blending industry knowledge with applied machine learning techniques to find powerful insights in complex datasets. LinkedIn
A look at the companies demoing live at FinovateEurope on the 6 through 9 of March 2018 in London. Pick up your tickets today and save your spot.
Sensibill and NatWest are transforming banking services for small businesses, offering a powerful tool for NatWest’s SME customers to manage their expenses and gain control of their finances.
Features
Capture paper and digital receipts within NatWest’s mobile banking app
Receive automatic transaction matching for the receipts
Leverage the export feature for expense reports and taxes
Why it’s great
NatWest’s solution powered by Sensibill helps SMEs manage their receipts so they can spend more time focusing on what they love and do best – running their business.
Presenters
Wincie Wong, Digital Propositions Lead, Personal & Business Banking
Wong runs the digital propositions team at NatWest to identify, define and implement the strategic digital experiences of the future for personal and small business customers. LinkedIn
Robert Fillmore, Vice President & General Manager, EMEA
Fillmore is a sales and operations leader with two decades of experience in scaling up the EMEA operations of North American telecoms and fintechs, leading to successful exits with IBM and Oracle. LinkedIn
Jan-Lukas Wolf, Senior Manager
Part of Sensibill’s marketing team, Wolf is a financial services professional with years of experience spanning strategic planning, business development, product delivery and risk governance. LinkedIn
A look at the companies demoing live at FinovateEurope on the 6 through 9 of March 2018 in London. Pick up your tickets today and save your spot.
W.UP’sSales.UP is an insight-driven sales and engagement tool for banks that uses pre-built customer insights to create relevant, personal, and timely interactions with clients – that is Personalised Banking Sales. Leveraging big data, advanced analytics, AI, and machine learning, Sales.UP helps boost sales and engagement.
Presenters
Tamas Braun, International Sales and Business Development Director, W.UP
Braun has worked in the retail banking technology industry for the past 15 years. Most recently, he worked at technology vendors such as IND and Misys before joining W.UP. LinkedIn
Mark Hetenyi, Deputy CEO, Retail and Digital, MKB Bank
Hetenyi has been deputy chief executive officer at MKB Bank since January 15, 2015 and serves as a member of the board of directors. LinkedIn