Tag: Banking as a Service

How Generative AI Can Reignite Customer Relationships for Banks

How Generative AI Can Reignite Customer Relationships for Banks

The influence of generative AI in banking has reached profound levels in recent times. The implementation of AI and banking customer experiences today go hand in hand. There is a school of thought that generative AI can reignite and revitalize customer relationships in banking.  Early adopters of generative AI will naturally benefit from its productivity boosts and its impact on customer relationships. Accenture has reported how 90% of working hours in the banking sector may be eventually influenced by LLMs or large language models. 54 % of work timings, as per this report, has immense potential for automation via AI in the future. 30% of employee productivity benefits may also be witnessed by the sector by 2028. Generative AI can influence almost all sectors and aspects of the banking industry. Here’s looking at the same in more detail.  Advantages of Generative AI in Banking  Here is how customer relationships in banking get a boost through AI-powered customer engagement and other benefits of generative AI models.  How do Customers Benefit from Generative AI in Banking?  Generative AI in banking can completely and positively transform customer relationships in banking along with boosting overall engagement levels considerably. Here are some pointers worth noting in this regard.  It is not just about serving customers better. Banks also get several other advantages of using generative AI. They can apply AI and neuroscience-based Gamification to match the cognitive and emotional capabilities of aspirants with job profiles in the company. Using analytics can enable better candidates who are the right fit for banking roles in a more competitive and specialized environment.  At the same time, generative AI systems can also go a long way towards enabling superior employee training and retention. They can analyze employee data to predict future attrition rates and recommend steps for better talent retention. With high turnover costs in the banking sector, these insights will be hugely valuable for most entities. Data quality, of course, is a key cornerstone behind the successful implementation of these applications and also the algorithms used by banks. Hence, there is a growing need to invest in the right AI and analytics talent in order to leverage generative AI in banking to the best possible extent.  FAQs How can generative AI enhance the personalization of banking services for customers? Generative AI is crucial in enhancing banking service personalisation levels for customers. It helps banks suggest the right products/services to customers based on their preferences and needs. It also helps customers get individualized solutions and assistance from support teams.  What role does generative AI play in improving the customer experience in the banking industry? Generative AI plays a major role in enhancing customer experiences in the banking sector. It enables personalized recommendations and advice, along with customized service and support. It helps Chatbots and other tools respond faster to customer inquiries, replicating human conversations and understanding customer intent better.  How can banks use generative AI to predict and address customer needs proactively? Banks can leverage generative AI to forecast customer needs better, based on an analysis of their spending trends, transaction history, and preferences. They can address these needs swiftly and at the right time based on these customer insights.  What are the potential benefits of leveraging generative AI to reignite customer relationships in the banking sector? There are several potential benefits of leveraging generative AI for enhancing customer relationships in the banking industry. These include improved customer experiences and engagement, quicker resolutions of customer problems, personalized customer solutions and recommendations, and more.

Read More »
Analytics-Driven Personalisation: Redefining the Customer Experience in Banking

Analytics-Driven Personalisation: Redefining the Customer Experience in Banking

Analytics-driven personalisation is the biggest recent trend that has completely changed the game in terms of enabling personalised banking along with improved customer experience in banking. Digital transactions, payments, and banking platforms have completely changed the modus operandi as far as both customers and executives are concerned. At the same time, the higher digital engagement and transaction volumes lead to the generation of huge amounts of data on a daily basis. This is in the form of both non-transactional and transactional information.  Banks are now finding several merits in tapping and analysing this data to gain invaluable insights for positively transforming customer experiences and processes. Technologies like banking analytics are being used in tandem with machine learning, artificial intelligence, and big data analytics to generate the best possible results for banks in this context. Even McKinsey Global has stated how data-driven entities are 23 times likelier to acquire new customers, while being six times likelier to retain them and 19 times as likely to be profitable due to this aspect.  Another key aspect lies in the fact that banking analytics or data analytics in this segment had a value of approximately $4.93 billion in 2021 and is estimated to hit $28.11 billion within 2031 (indicating compounded annual growth rates or CAGR of 19.4%). There are several data or touch points for customers including websites, mobile apps, digital transactions, social media platforms and a lot more. Rich data can be used for redefining customer experiences while also predicting customer engagement and mapping the journey.  How Analytics-Driven Personalisation is the Key Factor When it comes to offering personalised banking and redefining customer experiences, big-data analytics is the key element that institutions are looking to leverage in the current scenario. Here are some pointers worth noting in this regard.  Several banks and financial institutions have multiple products for customers which cater to varying requirements. Redefining customer experiences thus becomes a major differentiator for these financial institutions in order to enhance customer satisfaction and retention levels alike. Gaining a better understanding of customers and identifying gaps or potential issues will also help improve the overall experience for customers while enabling more personalisation at the same time with full scalability.  What are the challenges of data analytics in banking?  There are a few challenges of leveraging banking analytics that institutions also need to be aware of. These include:  However, analytics-driven personalisation is the biggest trend that will completely reshape customer experiences across banks and financial institutions. Customers now engage across several touchpoints and expect more personalised banking solutions and quick assistance and support for their queries. Hence, institutions will have to rely more on data analysis and insights to make better decisions that lead to improved customer experiences and higher retention. However, maintaining a customer-centric approach is the biggest takeaway that banks should keep at the forefront while scaling up data analytics initiatives simultaneously.  FAQs Analytics-driven personalisation greatly enhances the banking experience for any customer. Banks get a full view of the customer profile and specific needs, pain points and requirements. Hence, they can customise their offerings and solutions to meet these needs while solving the pain points and making sure that the customer gets the right solutions at the right time.  Both transactional and non-transactional data are used for driving analytics-driven personalisation in banking. This includes data directly gathered from transactions across multiple channels and also other data from surveys, forms, websites, mobile applications, social media platforms and many other sources.  There are a few considerations and challenges that banks should keep in mind while implementing personalisation through analytics. Data quality and integrity should be a major focus area, since poor quality may completely jeopardise the whole process. Other considerations include data silos, gathering disparate data across systems, integration and dealing with legacy infrastructure.  With more personalised services and engagement, customer experiences naturally improve over time. This leads to higher loyalty and superior engagement since customers get solutions tailored to their needs and their pain points are addressed by banks swiftly due to analytics-driven insights.

Read More »
5 ways Tech is building better customer experiences in Insurance and Banking

5 ways Tech is building better customer experiences in Insurance and Banking

Tech innovations have steadily reshaped the insurance industry and banking landscape in recent years. There are several ways in which this digital transformation is enabling superior customer experiences in the space. Multiple financial technology-driven innovations are steadily coming to the forefront and are completely reshaping the sector. For instance, reports state that several insurance players are looking at AI and only a few have upgraded their abilities throughout the spectrum.  One of the biggest trends will be applying AI for disrupting claims, distribution, services, and underwriting, which will create models more familiar as humans in the loop. This enables better customer touch points along with scaling up productivity simultaneously. Distributed infrastructure and cloud will be crucial game-changers along with virtualization and automation in addition to trust architecture. Let us first look at how tech stacks up in the space before examining the ways in which it is creating improved customer experiences.  Where does tech stand in the scheme of things?  Tech innovations are already revamping the insurance industry and here is where they stand currently.  As can be seen, customer experiences can improve in the near future, with suitable financial technology implementation. Here is a closer look at the ways in which the insurance sector has steadily evolved over the last few years.  Benefits that tech brings to customer experiences  Some of these advantages include the following:  Many customers may testify to their insurance experiences improving over the years, particularly with technological advancements. Apps and online platforms have changed the game while multiple background or back-office procedures have also become more streamlined. Technology has also enabled higher cost and time savings for insurance companies while enhancing customer experiences considerably in turn.  FAQs 1. What is customer experience in insurance? Customer experience or CX is the entire process and stages of interaction between insurance companies and customers. This covers queries, inquiries, responses, feedback, guidance, paperwork, applications, claims filing, processing, and more.  2. How can the insurance industry improve customer experience? The insurance industry can considerably enhance customer experiences by lowering claims processing timelines with AI-driven automation. With accurate and swifter evaluation, companies can lower claim payment times considerably. At the same time, they can leverage modern technology to update and remind customers periodically, while using technological tools for responding to customers and providing them ample guidance whenever they need the same.  3. Why customer experience is important in the insurance industry?  Customer experience matters immensely in the insurance industry since it can make or break relationships. Customers may discontinue or not renew policies due to poor experiences in terms of solving their problems, getting information, or completing claims processing or paperwork.  4. What is the best way to improve customer experience?  The best way to boost customer experiences is to focus on resolving customer processes and formalities (including paperwork) in the quickest possible time. At the same time, there should be an emphasis on directing customers to the right resources whenever needed. 

Read More »

The Rise of Banking-As-A-Service: A Global Phenomenon

A number of banks around us are working hard to innovate and create a unique customer experience using the possibilities of digital banking. However, the whole banking architecture needs to adapt to the required viability and flexibility to become future proof. A way to do it is to open up the bank’s capabilities to essentially empower anyone who wants to develop their own financial products and services- ‘Banking-as-a-Service’ (BaaS). Though this goes against the fabric of traditional banking as they had always preferred an end-to-end service delivery model. However, the recent consumer centricity that is taking over the market with born-digital FinTechs is big. According to Bloomberg, most big banks are spending more on digital than the total investment in all the FinTech start-ups Source: Bank disclosures, data compiled by Bloomberg and KPMG Pulse of Fintech Report based on Pitchbook data. This data does give an idea as to where banks are heading to but don’t give us the complete picture. A number of instances like Fidor, a German online bank founded in 2019 is allowing its customers to access loans through P2P social lending service Smava Barclays is inviting Credit Unions to offer payday loans through their branches and help payday firms stop charging high interest ICICI Bank uses SmartyPig to offer iWishes to their millions of customers as social savings All this collaboration shows how banking is gradually becoming a service and banking is not limited to the banks only. Another area of interest is open banking. So, what is the difference between BaaS and Open Banking? Though BaaS goes hand in hand with Open Banking, however it relies on the collaboration of financial institutions, service providers and customers based on APIs. On the other hand, BaaS focuses on using APIs to provide simple access to banking and payment products while meeting regulatory requirements. These platforms help reduce the need for businesses to invest in their own technology and screening mechanisms as these platforms carry out all the processes needed for financial and regulatory operations. Thus with BaaS a bank can use a module, component or function of a bank and allow FinTechs to create an application packaged and network-enabled as a banking widget. The balance statement widget; the payments transaction widget; the loan application widget; and so on. For example, a personal finance company of Mint aggregates data from customer’s different accounts and provide bank-like service outside a bank-owned channel that is leveraged by open banking. While a company like Digit relies on access bank’s infrastructure to provide a host of services like automatic savings, overdraft prevention services that the bank doesn’t offer to consumers. So how does BaaS work? BaaS allows third parties to tap into existing banking systems through application development interfaces (APIs) that allow communication between banks’ software and the third parties’. These open APIs expose the banks’ functionalities to anyone intending to access them, which includes independent developers, FinTechs, non-financial institutions like restaurants and welfare clubs; enabling them to build their own features on top of the banks’. APIs enable banks to share data with internal developers, partners and third-parties, such as FinTechs, which then manipulate this data to build valuable service offerings, including mobile payment applications, peer-to-peer lending solutions, analytical dashboards among other solutions. Banks can also tap into the capabilities of the FinTechs to facilitate their own customers. Some more examples; TransferWise, a remittance company that reroutes money from a bank account within the receipt’s country so that it does not have to cross borders. This makes its international money transfer service cheaper, UK’s Monzo bank partnered with TransferWise to integrate the service into its banking app. Notable financial institutions embracing BaaS include US bank Bancorp, which has leveraged the BaaS model to a point of supporting 75 million prepaid cards and over 100 non-bank partners who use it to provide financial services. Evidently, as BaaS emerges as a new business model and an effective competitive toolkit, banks must shift focus to financial management solutions assemblers. An efficient BaaS implementation strategy should focus strongly on enabling plug-and-play operations which different Fintechs can plug and provide tailor-made services to meet customer needs. By adopting these methodologies, banks will also experience better standardization and cost reduction. Starling bank’s Banking-as-a-Service partnership is with Raisin UK, the online savings marketplace that allows customers to pick the best savings deal on the market to meet their individual needs. The relationship allows Raisin UK to use Starling’s APIs to open accounts for each customer, collect their deposits and place them at their expanding network of partner banks that participate in its marketplace.  It is clear that there are a number of benefits in BaaS and in creating an API ecosystem. Banks will also find new revenue sources and acquire new customers, especially digital natives seeking more innovative offerings. From a customer’s point of view, a BaaS platform enables them to take out loans at a digital point of sale, invest in funds at the push of buttons and also transfer money. Companies are able to combine payment functions directly with the rendering of services, for example supplying electricity, machine activities or transports. In the current platform debates, we are led to believe that an API already makes a bank a platform – however it is merely a necessary technical requirement, but not a platform sufficient feature. They provide for varied features, for example, in Germany, the Wirecard Bank, Solaris Bank and the Sutor Bank operate BaaS platforms; each with different points of focus.

Read More »
MENU
CONTACT US

Let’s connect!

    Privacy Policy.

    Almost there!

    Download the report

      Privacy Policy.