Article | April 4, 2020
Banks have an Essential Role to Play as Systemic Stabilizers.
COVID 19 has created disruptive economic fallout within human society across all religions/races/geographies/countries/continents. The path ahead is hence a dangerous one, driven by epidemiological uncertainty.
While this situation is occurring for the first time in human history, this has also been an eye-opener to have a more comprehensive look at the way we operate. The footfalls of branch banking have decreased to a large extent, and banks have urged customers to use digital channels.
Table of Contents
• COVID 19- An Accelerant to Digital Transformation
• How to Increase Digital Banking Adoption
- Start with a comprehensive plan
- Keep employees morale up to get back on solid ground
- Leverage digital and traditional channels
- Enable Seamless Customer Experience
COVID 19- An Accelerant to Digital Transformation
The coronavirus (COVID-19) outbreak is indirectly promoting digital transformation, as many service providers, including banks, have significantly decreased or even closed their offline services, asking their customers to adopt the digital banking for any assistance. This trend is resulting in speeding up digital transformation. But, the question here is, are customers ready for this drastic change?
Yes, slowly yet firmly, Banks are witnessing customers picking up services that have distinguished digital capabilities. The mechanics of customer interaction has quickly shifted from physical handshakes to virtual communication over personal & extensive digital channels.
Learn more: https://capital.report/blogs/6-digital-banking-best-practices-during-the-covid-19-outbreak/8287
Consultant McKinsey & Co, in an article titled Leadership in the time of coronavirus: COVID-19 response and implications for the banks, reports that Banks have already taken a series of actions in reaction to the spread of COVID-19. Common steps we’ve seen include establishing a central task force, curtailing travel, suspending large-scale gatherings, segregating teams, making arrangements for teleworking, and refreshing external-vendor-interaction policies. It also highlights some of the fundamental changes banking organizations are going to need to make in the way they do business.
Workplace dynamics and talent management, already evolving in a digitizing world, maybe durably changed after an extended period of remote working,” it says. “Likewise, customer routines and expectations may also shift further in meaningful proportions, both in terms of digital adaptation and the expectation for proactive communication and care.
How to Increase Digital Banking Adoption
Digital is not a destination but it's a journey with more and more innovations and discoveries happening across multiple industries. But with COVID 19, it is a forced change for human society to adapt to a digital and contactless mechanism for business transactions between individuals or companies across the border (B2B, B2C, B2G, G2G, etc). The countries which are adopting this methodology are more likely to succeed in the new digital paradigm post-Covid 19.
Below are some simple steps you can use to increase customer engagement with digital banking:
Start with a comprehensive plan
To increase awareness of your digital banking platform, it is always essential, to begin with, a first cut action plan. In the current crisis, there are immediate actions banks can take to help retail and small business customers, support the use of digital channels so that customers can bank from home.
In the United States, many banks struggle to increase digital adoption among their customers; for example, nearly half of banking customers either never use their mobile app or do so infrequently.
According to McKinsey& Company, In the United States, the most satisfied customers use digital multiple times per week, the second-most satisfied customers do not use digital at all. The least satisfied banking customers are those who use digital tools infrequently, less than once per month. This is because customers go through a learning curve as they adopt digital tools, and most banks under-support their customers in the adoption journey. In the current environment, banks should redouble their efforts to smooth customers’ transition to digital. Here’s how:
• Easy-to-find and clear communication
• segment-specific campaigns
• remote coaching and advice,
• And unified experiences across each journey, such as written and video explanations for how to accomplish specific digital tasks, along with ways to try them out.
Banking services that involve branch interaction, digital tools can still play an important role by providing information on adjusted hours, essential services, reduced staff numbers, heightened safety precautions, social-distancing measures, and digitally-enabled queuing.
Keep employees morale up to get back on solid ground
One of the first things that can go for a toss in such challenging times is the morale of employees. It is natural for employees to feel frustrated. The uncertainty of the company's future, the fear of recession, and uncertainty around jobs can damage motivation, productivity, and can create a lot of fear among employees.
This entails bank managers to set precise directions for remote teams that are pursuing common goals. Bank managers should also take this opportunity to delegate and empower their employees for decision making. Both intrinsic and extrinsic motivation through rewards, clear spans of control, and meaningful appreciation can go a long way in supporting employee morale.
A vital portion of the employees is working from home facing operational challenges, such as internet-bandwidth issues, network connectivity, technology glitches, and childcare priorities. Following practices could help these banks perform a more effective distributed-work environment:
According to McKinsey &Company, following practices could help these banks perform a more effective distributed-work environment:
• Enable technology setup and infrastructure for remote work.
• Supporting remote-work technology and infrastructure
• Assisting employees with home-office setup
• Ensuring adequate VPN bandwidth
• Providing remote application access
• Adopting a suite of digital tools that facilitate effective communication, and decision making, such as videoconferencing, file sharing, real-time communication, coediting, and task management, and
• Ensuring that agents have the necessary tools and resources to handle calls from home while maintaining customer-data-confidentiality standards.
With all these features, it is also critical to ensure that agents are well-equipped with the necessary tools and resources to handle calls from home while maintaining customer-data-confidentiality standards.
Leverage digital and traditional channels
The more frequently a person sees a message, and in more places, the more likely they are to engage and take action. Banks need to maximize awareness by promoting their message across channels. Promote it in their branch and online, on ATM screens and in the call center.
Banks can also find ways to cross-promote digital banking. For example, during the new account opening process, it should encourage consumers to enroll in online banking. Or, if a bank or credit union is doing a credit card promotion, they can use it as an opportunity to cross-promote its mobile app.
Enable Seamless Customer Experience
For banks, spending on customer experience was essential before the current crisis, both from a “good business” perspective and a “good bank” perspective. Now, these aspects are even more relevant. It is highly important for banks to make their genuine concern for their customers clear and to make customer interactions with the bank as easy as possible.
COVID-19 has brought customers already under health and financial stress. They will need ready access to bank products and services. It is now more important, then, to reach customers through digital channels, stay connected through innovative communication channels, meet the needs of vulnerable populations, and stabilize critical infrastructure.
• Banks should encourage more customers to use remote channels and digital products whenever possible.
• Enhancing current digital offerings, identifying key functionalities, that can be improved quickly
• Speeding up the procedure to increase limits on online transactions and simplifying password reset.
• Keeping clients involved via SMS, mobile apps, and digital media
• Minimize disagreeable surprises to customers (such as potential branch lockdowns)
• Encourage fraud-prevention measures, clarify the availability of solutions on digital channels, and
• Define preventive measures to ensure the health and safety of clients and employees in branches.
According to McKinsey & Company, some financial institutions will need to address such technology gaps in order to offer a seamless digital customer experience. This will require planning ahead by scaling infrastructure capacity and network bandwidth, stress testing and scenario planning, managing near-term patches, and identifying urgent weaknesses in architecture.
Learn more: https://capital.report/blogs/9-best-fintech-apps-to-use-while-at-home-during-the-coronavirus-lockdown/8273
All in All
Coronavirus difficulties provide an opportunity for new businesses to thrive based on a new digital reality – completely digital and contactless. Digitalization has found a new meaning and it is going to reach newer areas. The world is thinking about implementing ways to lessen the disruption caused to humanity. This is the perfect time to focus on digital transformation by realizing the necessities accelerating it.
Article | April 4, 2020
The fintech industry is one of the most visibly disruptive sectors since it can dramatically impact everyday consumers as well as the business of all sizes. It’s also potentially a highly regulated sector, with governments and regulators well aware of the need to both protect consumers and businesses, and to provide a fair, competitive environment for industry players.
Article | April 4, 2020
Most advisors know they should be using social media, but running a successful advisory business requires dealing with a lot of moving parts. When you’re handling a client crisis or slogging through the daily routine that comes with managing a team of financial professionals, it can be easy to let something like posting on Twitter fall by the wayside. After all, isn’t social media just a distraction from your actual work?
Article | April 4, 2020
The world is digitizing, and the world is digitizing because we’re seeking low friction and immediacy. We want immediate responses; we want stronger commerce connections that can scale up to more rapidly. So, within that framework, one can’t expect banking and financial services to stay the same as it has been, because ultimately it has to shift.
Artificial Intelligence is bubbling with a lot of energy at the moment, and so is Fintech. There has been a lot of investment going on in it, and it’s under so much spotlights. The rate of innovations and the abundance of new technologies have sprung up everywhere. Things from artificial intelligence, peer to peer lending, big data, block chain, crowd funding, digital payments, and Robo advisors, just to name a few.
We need to think about FinTech with two capitals T’s that is, TECHNOLGY and TRANSPARENCY. It’s more about technology, enabling the banking industry to do the wonder, and Transparency because it’s a sector where customers can make much more informed choices. But what has made Fintech go so unmask is just the pace of innovations in this space. FinTech has now moved from prevention to resilience. We are just at the tip of the iceberg.
Globally, the value of an investment in Fintech companies amounted to approximately 112 billion U.S. dollars in 2018, which was a record high for the sector. The annual value of global venture capital investment in Fintech companies is increasing and doubled between 2017 and 2018.
This is an industry that is hungry for change because the consumers are hungry for change, and so the big corporations, the incumbents are also ready to change. Consumers want seamless, frictionless experiences. They want all the pain points removed from their banking journey.
Table of Contents
• Artificial Intelligence- Paving the Way for the Future in Banking
- Embracing Conversational AI in Banking
- Driving Personalization in Banking through Artificial Intelligence
- AI-Model for Automated Credit-Scoring and Loan Processes
- Transforming Wealth Management with AI
- Utilizing Robotic Process Automation Software in Banking
• In Conclusion
Artificial Intelligence- Paving the Way for the Future in Banking
Artificial Intelligence has the potential to revolutionize how consumers and businesses handle financial transactions. There will surely be hits and knocks along the way, but AI is not going away anytime soon. It is the future.
FinTech companies want to deliver personalized and cost-effective finance products. To do so, they need to utilize large numbers of data from various touch-points. Introducing the financial sector with advanced techs like big data, artificial intelligence, and blockchaincan facilitate banking and finance go far beyond cashless payments and mobile services toward personalized customer experience that will transform FinTech in 2020.
Financial institutions now know their customers' behavior and social browsing history. The accelerated rise of Artificial Intelligence and machine learning has resulted in banks being able to reduce the number of operations as they embrace the power of automation. Artificial Intelligence facilitates real-time omnichannel integration of these insights to deliver a personalized one-to-one marketing experience for their customers.
AI’s potential can be looked at through versatile lenses in this sector, especially its implications and applicability across the operating landscape of banking.
Learn more: https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/financial-services/deloitte-uk-world-economic-forum-artificial-intelligence-summary-report.pdf
The three main channels where banks can use artificial intelligence to save on costs are front office (conversational banking), middle office (anti-fraud) and back office (underwriting). Let’s explore more on how banks can use Artificial Intelligence to constantly innovate at scale:
Embracing Conversational AI in Banking
An artificial intelligence feature that is redefining customer engagement is conversational AI. It has been viewed as a cost-effective way to interact with customers. Nowadays, conversational interfaces represent one of the biggest shifts in banking user interfaces to date and are modifying how they obtain and retain customers and enhance their brand identity.
According to a study conducted by Juniper Research, chatbots can save at least 4 minutes of a customer service agent’s time. While saving 0.70 USD per query, in the process. Conversational AI has now become the preferred solution for productive customer communication among banks.
The universality of messaging apps, like Facebook Messenger, WhatsApp, Slack, Microsoft Teams or SMS, and the adoption of voice-activated assistants such as Amazon Alexa, Google Home, or Apple’s Siri are bringing conversations back into our banking experiences.
Conversational Banking Experience
For example, the Swiss bank UBS partnered with tech giant Amazon to merge its “Ask UBS” service with Amazon Echo. Customers can communicate with multiple banking processes, via the chat interface, such as reporting potential fraud on their banking cards, applying for an increase on their credit card limit, or getting a breakdown of their recent transactions, and more.
Driving Personalization in Banking through Artificial Intelligence
Customers need banking on the go. They are looking for more personalized experience and expect to transact with banks from the convenience of wherever they are. Data advises that businesses that offer personalized services achieve far better business outcomes. Giving the right individual experience through the right channel at the right time can make banking more personalized. AI can play a significant role in assisting banks to understand customer behavior by leveraging transactional and other data sources.
The Boston Consulting Group has estimated that a bank can garner as much as $300 million in revenue growth for every $100 billion it has in assets. All by personalizing its customer interactions.
• Artificial Intelligence enables banks to customize financial products and services by adding personalized features and intuitive interactions to deliver meaningful customer engagement and build strong relationships with their customers.
• Artificial Intelligence enables a higher degree of personalization and customization by tapping into information such as customer behavior, social interaction, and even health or important event dates, all to create a well-rounded picture of their customers’ profile.
• AI can classify prospects based on financial capability, family size, etc. and offer tailored products.
To carry out extensive personalization projects, banks are looking to collaborate. They’re now teaming up with fintech and software corporations to provide technological capabilities they do not maintain.
In 2019, the total value of transactions in the personal finance segment will amount to $1,092,496 million according to Statista. Remarkably, the market’s largest segment is robo-advisors, with total assets under management of $980,541 million. In 2023, the number of people using robo-advisors is predicted to be 147 million.
Organizations like Optimizely, Braze, and Crayon Data offer the financial sector the means to personalize the customer experience. Crayon’s proprietary AI-led recommendation engine, maya.ai, allows banks to create personalized digital experiences for their customers. All that with the help of machine learning algorithms.
AI-Model for Automated Credit-Scoring and Loan Processes
Artificial intelligence not only automates menial and repetitive tasks. It can be trained to take business decisions that normally require a specific level of cognitive thinking. Lending and credit scoring are the critical business for banks and directly or indirectly touches almost all parts of the economy.
Banks always relied on models and experts to make effective credit decisions. Now models are becoming sophisticated enough to replace experts. Banks and credit scorers are employing machine learning models to track customers’ credit records. And make well-informed decisions on loan approvals.
Banks and credit scorers are employing machine learning models to track customers’ credit records and data. And make well-informed decisions on loan approvals. The AI-based credit scoring model can score potential borrowers on their ‘creditworthiness’ by factoring in alternative data. The more data available about the borrower, the better you can assess their creditworthiness.
This data could include candidates' social media/internet activity and websites visited and online purchases history. By examining the online behavior of a borrower, these models can predict the most credit-worthy candidates for loans. And also predict who is most likely to back out.
In the new digital reality, AI-powered credit decision permits lenders to:
• Fast and secure loan origination process
• Automate borrower`s digital journey
• Find and filter unfit borrowers based on sophisticated proprietary models powered by deep neural networks
• Lessen the operational costs of origination
• Authorize unhindered scalability of the lending business
Transforming Wealth Management with AI
Wealth managers are positively deploying artificial intelligence (AI) to answer the needs of a new generation of tech-savvy high net worth individuals.
According to the 2018 Asia-Pacific Wealth Report (APWR) released by Capgemini, the APAC region witnessed a 12.1 percent growth in HNWI population in 2017, and a 14.8 percent rise in wealth, with the region, now forecast to exceed US$42 trillion by 2025.
One of the AI trends in wealth management is the potential for the technology to move beyond traditional tasks, such as KYC and risk management, to new centers of enhancing relationship management and client experience.
On the one hand, firms are investigating how they can make their relationship managers more productive. On the other, the new generation of clients wants predominant online services, assisting banks to examine how they can optimize their digital offerings.
“Consumers’ and SME’s behavior and needs are changing fast,” said Rosali Steenkamer. There is an immense data explosion with structured and unstructured data. Only big data-driven models, Machine Learning algorithms and Artificial Intelligence can tackle this to serve the right solution to the right customer. Traditional technology is simply not able to deal with these challenges.
-CCO and Co-Founder at AdviceRobo.
Relationship Managers are not motivated to capture datasets. The only solution is to encourage the front office to collect new data, as well as collaborate with colleagues who develop AI-powered products and services. Doing this will drive productivity for Relationship Managers and an enriched experience for their end clients.
Everyday tasks can be handled by AI systems, releasing wealth managers to concentrate on higher-level investment strategies. AI systems can also analyze client data to adequately create packages prepared for specific financial and social demographics. Utilizing AI in finance expands service offerings while also making them more customizable. With a variety of AI tools at their disposal, wealth managers are outfitted with the research and data insights essential to make quicker, more informed decisions for various clients.
Learn more: https://capital.report/blogs/how-fintech-is-shaping-the-future-of-wealth-management/8244
Utilizing Robotic Process Automation Software in Banking
This year robotic process automation (RPA) will continue to impact financial institutions, to help them be more efficient and effective, as well as help ensure they meet federal and state compliance requirements.
RPA is growing rapidly. Recent RPA trends and forecasts anticipate that the market for robots in knowledge-work processes will reach $29 billion by 2021. For the banking industry, robotics outlines a unique and underutilized way to increase productivity while minimizing traditional repetitive and manual-labor-intensive processes.
The accelerated rise of AI and machine learning has resulted in banks being able to reduce the number of operations as they embrace the power of automation. AI facilitates real-time omnichannel integration of these insights to deliver a personalized one-to-one marketing experience for their customers.
So, when we look at these phases of development in the Banking Industry, we understand that it’s not just about inserting technology into banking; there is a larger shift here. Part of the shift is around trust and the utility of the bank. Artificial intelligence and machine learning technologies allows banks to turn vision into reality. Whether you are ready for it or not the AI revolution is poised to provide exciting avenues for innovations.