Embedded finance, aka embedded banking, is transforming the financial services distribution model. E-commerce companies, Point-of-Sale systems, ride-sharing apps, food ordering apps, and other digital financial service providers consider it a revenue opportunity.
Is 2021 the Beginning of the Embedded Finance Era?
With over $7 trillion in revenue, embedded finance has generated a significant buzz in the FinTech market. Sadly, the financial services industry has not upgraded its core business model in years, and the COVID-19 pandemic has made the need even stronger than before.
While banks and insurance companies have spent exorbitant amounts of money digitizing their existing processes, it is high time that they invest fully in creating digital business models to recover the economic crisis.
Embedded finance helps businesses overcome digital adoption barriers and offer outstanding financial services to customers. While embedded finance will benefit the economy globally, its potential implication for the FinTech industry is massive.
Fingent’s FinTech application development services continuously provide financial service and technology innovations, valued by global financial services institutions.
What is Embedded Finance?
Embedded finance is the amalgamation of a non-financial service provider with a finance service. It allows enterprises to create new revenue streams and reinvent the services they offer their customers. It is beneficial to both the enterprises as well as users. In most cases, it is easier to buy products from one single source instead of interacting with many other businesses over the day.
FinTech is already growing at a significant rate, and the pandemic has caused more people to use day trading platforms from lending sites to stocks.
As the world will start incorporating FinTech in their lives, embedded finance opportunities will increase in the future.
What are the opportunities for Embedded Finance?
The most significant advantage of embedded finance is that it streamlines financial processes. Previously, there was a gap between a consumer and the service provider or seller. So, the consumer would often approach a lender or a bank to bridge the gap. However, with embedded finance, the need for a third-party bank or lender is eliminated. Here are a few examples to understand how embedded finance can help you.
Read more: FinTech Innovation: What Is In Store?
1. To make payments
For some consumers, paying with cash for a purchase hurts, making them reconsider a purchase. Embedded systems help eliminate this pain. A consumer using a mobile app with an embedded payment program can tap a few buttons and make a purchase instead of digging into their wallets for cash – for example, a ride-sharing app like Uber. So, when you book your ride, you don’t have to pay the driver cash or pull out your debit or credit card at the end. Instead, you complete the transaction in the app after you reach your destination. You can also use the embedded system to order your favorite cold brew or lip-smacking snack from Starbucks. The mobile app allows users to order and pay for their best-loved delicacies. Starbucks’ online ordering system also rewards customers with redeemable points for every purchase.
Before embedded finance, a person had to apply for a bank loan or open a credit card if he/she needed to borrow money. However, with an embedded system, a person can apply for and secure a loan at the time of purchase.
Klarna and AfterPay are examples of embedded lending. These programs split an online purchase into smaller monthly payments. For instance, a payment of $100 can be divided into four installments with $25 each.
The need to consult an insurance agent or broker for purchasing an insurance policy is eliminated with embedded insurance programs. In the past, buying insurance was needed to buy a car or a house. Also, it was a completely separate part of the process. Some companies have now found ways to speed things up and increase their bottom line by embedding the action of applying for an insurance policy into making a necessary purchase.
For example, Tesla offers an insurance program that allows people to purchase an appropriate amount of coverage almost instantly. Additionally, the insurance available directly from Tesla costs less than a policy from a third-party insurance provider.
Most people feel investing is a complicated process and prefer to stay out of it. However, embedded banking programs help simplify the investing program.
For example, Acorns is a program that invests your spare change by rounding up purchases, thus making investing seamless and touch-free. It doesn’t require you to manually pay back the money since the app takes care of that. They adjust their portfolio according to the market, and so you don’t have to pay attention to the values of mutual funds or stocks.
How can enterprises use embedded finance or banking in their products or services?
Organizations can embed finance or banking in several ways. Even companies that are not in the FinTech industry are seeking ways to offer financial services. For instance, Shopify is offering lending services and bank accounts to companies. Organizations like Udaan and Grab have also started financial services like Udaan Credit and GrabPay.
In some cases, companies can act as connectors between financial services and non-financial businesses. For example, organizations can use a data transfer network by Plaid to offer financial products.
Another option for companies is that they can work with businesses that embed the required infrastructure into their products or services. With an increasing number of transactions and payment processing, the platform ecosystems can expand quickly, giving rise to the need for external financial services.
How is embedded finance beneficial to companies?
1. A new revenue system
Most customers show displeasure when redirected to multiple applications or experience a failed transaction due to timeout. The best resolution to this issue is to have a single unified flow in the customer journey. Customers would stay loyal to a brand if they have an easy-to-use eCommerce website.
Companies can charge a small fee as a commission on such transactions. It helps companies to have a new revenue opportunity without investing in bringing in new customers.
2. Increased hit rate/footfall
Embedded finance products can boost footfall if they can provide an overall improved experience. Given the cut-throat competition, customer loyalty can decline when a better product is launched in the market. Consumers will not hesitate to switch their allegiance to a competitor as long as they get what they need.
Companies can expect an increase in hit rate and better scope of converting users to potential customers with embedded finance products. If the transactions are smooth, the conversion rate will improve.
3. Use existing resources
Organizations need not worry about the expenses and resources needed to acquire new customers or procure high-level infrastructure. By including a financial angle to create an embedded product, you can modify the current systems.
4. Improved customer experience
Embedded finance helps companies create a unified journey for their customers. Offering more services to the customers will eliminate their need to deal with a third-party vendor for completing their transactions. It will result in higher profits. The direct connection between the customer and the company will help improve the customer experience significantly.
How will embedded finance change the future of the FinTech landscape?
With the evolving nature of technologies, embedded finance will persist due to its customizable nature. It will give rise to new opportunities and reduce the gap between various industries and their interactions.
Companies must be open to collaborating to build a bigger market, survive, and stay ahead of the competition. Software solutions providers and technology companies like Fingent play a crucial role in boosting the financial services landscape. Contact us to know more about our FinTech software development services and solutions.
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Digital core ERP can help bring about innovations across the value chain. Companies have to get ready to compete by leveraging the digital core or be left behind.
Take your business to the next level using digital core ERP!
Organizations commonly use Enterprise Resource Planning or ERP software to streamline their back-office functions, logistics, customer service operations, and inventory management. However, it is not agile enough to match the ever-changing requirements of a digital customer.
To establish agility within the foundation of ERP, providers worldwide are repositioning themselves to adapt to the new shift of digital core. Digital core ERPs such as SAP S/4HANA can help companies to stay relevant in today’s digital economy. Odoo ERP and SAP are two of the leading core ERP vendors that help automate back-office functions and accelerate your journey to the intelligent enterprise.
What is meant by digital core?
Simply put, the digital core includes technology platforms and applications that enable organizations to transform into digital businesses and meet the changing customer needs. Digital core ERP allows companies to overcome complexity in enterprise and resource management and drive business innovation.
It includes emerging technologies such as IoT, AI, machine learning, and advanced analytics that require businesses to adopt flexible, scalable, and cloud-based platforms. Digital core prepares data for machine learning systems, text to speech, neural networks, decision making, and other advanced applications and creates algorithms for business and IT.
The digital core will allow organizations to improve their existing business processes or develop new business models using digital transformation initiatives.
This new integrated system allows business leaders to predict, simulate, plan, and predict future business outcomes in the digital economy.
Why is digital core significant for your business?
Businesses that fail to address the changing enterprise and consumer demands due to their rigid core systems face the risk of losing the competition to their more agile counterparts.
To prevent losing business and reputation, enterprises must leverage digital core in the right way and integrate it seamlessly with their internal and external partners. In other words, enterprises must look beyond digitizing peripheral processes and align their core to meet the changing demands. It will not just eliminate manual steps and deliver agility but also provide a seamless user experience.
Examples of digital core
Finance professionals can leverage the digital core to obtain a single source of truth for finance. Finance departments have to handle reconciliations between internal and external reporting and multiple sources of truth stored in different ledgers. While traditional applications can help optimize and control functions, they cannot create a single source of truth, resulting in data accumulation by reconciling ledgers and valuations. With the digital core, businesses can eliminate reconciliation and execute seamless closing from unified data models. It also improves the allocation and closure of processes by ten times. The digital core’s main advantage is that it helps simulate financials in real-time with many ‘what-if’ possibilities.
The digital core can provide a digital experience along the automotive manufacturing value chain. The digital core can power a connected car to offer a personalized driving experience to drivers, including services like parking and fuelling options based on real-time information. The connected vehicle captures data that can be used for predictive analysis to gain insights into driver behavior and preferences. The digital core also helps enhance manufacturing by moving from batch orders to real-time manufacturing resource planning to meet the growing demand.
What are the benefits of the digital core?
Digital core allows enterprises to integrate business process and transactional data from back-office ERP systems with a large amount of data (structured and unstructured) from different sources. Advanced analytics can be embedded in the digital core data to produce new insights, such as proposing further actions and predicting outcomes. Interestingly, many of these processes can operate automatically in near real-time.
How to prepare for digital core transformation?
Firstly, it is essential to have an all-inclusive digital strategy along with effective executive leadership. Additionally, enterprises can focus on three critical tasks:
- Restructuring the organization
- Transforming the organization’s culture
- Re-platforming their technologies
As digital core transformation will have an impact on both the core and the peripheral assets as well as technologies, the new strategy must allow them to:
1. Push tailor-made solutions
Companies that use SAP products can move to SAP HANA products such as SAP S/4HANA and opt for the right cloud-based products to allow better agility during deployment.
2. Establish strong collaboration with partners
Collaboration with partners will help you achieve faster time-to-market for innovations. Also, you can leverage partner innovations along with data integration to deliver value to your customers continually.
3. Enhance the business
Use business process management tools to optimize your business processes and meet customer expectations. Technologies like cognitive analytics allow businesses to identify strategies that lower their value.
Advanced skill sets and enterprise-wide scale are required for digital core transformation, which may be challenging for most businesses. Therefore, it becomes imperative that you find an experienced and trusted partner who can support your digital core journey.
Here are a few tips for choosing the right implementation partner:
- Evaluate their investments
- Understand their willingness to collaborate
- Gauge their implementation expertise
- Look for SAP or Odoo ERP partners
- Gauge their desire to embrace new products and platforms
Why choose Fingent as your digital core ERP implementation partner?
Fingent offers ERP implementation and consulting services to businesses worldwide. We are an Official Partner of Odoo. Our Odoo ERP implementation and customization projects are tailored for easy adaptability. Fingent is also an SAP Silver Partner. With our expertise in cloud computing and custom ERP development and implementation, we can support you through this critical time and help stabilize your business operations and strategize for the future. Get in touch with our expert to discuss your requirements.
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Technology in Finance: An Overview of the 2021 Landscape
Technology in finance, along with evolving consumer behavior and regulations, are transforming the financial services industry. The COVID-19 pandemic is accelerating the industry’s focus on digital offerings. Government payment schemes, emergency loans, and personal finance management are the need of the hour.
With several bank branches shut and long waiting hours for phone assistance, financial institutions are forced to invest in better IT infrastructure, relevant automation, and technology in finance to deal with the growing consumer demands.
Read more: The impact and significance of digital transformation in financial services.
A study of financial institutions (FIs) by ISMG and OneSpan in North America revealed that providing customers with a top-notch experience is their main priority. 49% of the respondents feel that legacy and manual ID verification are the biggest obstacles to digital opening for FIs, while 35% found that knowledge-based authentication tools were obstacles to onboarding.
Some general FinTech statistics worth knowing are:
- By 2022, the global financial sector is expected to be worth USD 26.5 trillion with a CAGR of 6%.
- 49% of banks and 60% of credit unions in the US believe that FinTech partnerships are worth it.
- Digital payment is one of the most significant FinTech products and holds about 25% of the FinTech market.
That said, many banking and financial institutions are adopting the latest technologies such as artificial intelligence, blockchain, etc., into their operations to benefit their customers, stay competitive, and improve business growth.
Here are the top five technologies that transform the financial services industry currently.
1. Artificial Intelligence
The most crucial advantage of Artificial Intelligence in the finance industry is cost savings, which is anticipated to be worth $447 billion by 2023.
AI systems are a game-changer for the finance industry as they can examine vast amounts of data and find patterns and trends that people may miss, and even predict future trends. AI technology makes it possible to automate processes and manage tasks such as comprehending new rules and regulations or generating personalized financial reports for individuals. For example, IBM’s Watson is capable of understanding complex regulations, including reporting of markets’ requirements in the Financial Instruments Directive and the Home Mortgage Disclosure Act.
Chatbots in banking are helping automate simple tasks such as opening a new account or transferring money between accounts and are proving to be a great money-saving tool.
Many financial institutions such as Bank of America and JP Morgan Chase use AI to streamline customer service. Additionally, AI facilitates mobile banking that allows 24/7 access to customers to conduct banking operations. AI is also helping financial institutions boost security and detect and prevent fraud.
Blockchain is a promising technology that will impact financial systems significantly. Blockchain technology is inspiring to create several P2P (peer to peer) online financing platforms that help monetary interactions happen in a more decentralized way. Blockchain technology can improve existing systems and processes and create cryptocurrencies.
Five typical applications of blockchain include:
- Make cross-border transaction processes faster, more accurate, and less expensive
- Banks can leverage trade finance to create smart contracts between participants, increasing transparency and efficiency
- Clearing and settlement procedures
- Protect against fraud and speed up the verification process with blockchain-enabled IDs
RegTech is a regulatory technology that uses cloud computing technology through SaaS (software-as-a-service) to help businesses comply with regulations efficiently and lower costs.
The various areas of RegTech intervention are:
- Data management
- Reframing regulations and implementing new governances
- Real-time reporting
- Data- analytics and decision
- Fraud and risk management
Non-compliance with mandatory government rules leads to fines and crisis. So most FIs want to do everything in their power to avoid non-compliance.
The need for RegTech solutions is growing as FIs grapple to stay compliant with new and existing regulations. RegTech solutions will create a layer that companies will rely upon significantly. Its high accuracy, single dashboard, data analytics, alerts, and insights will help companies optimize resources allocated to compliance and achieve better results.
4. Machine learning
Similar to AI, machine learning helps create a marketing campaign around the consumer. It enables you to understand what kind of services will attract your target market. For example, how people find a financial website, what page they clicked, and what services they need.
Machine learning algorithms and their capability for sentiment analysis will impact trading significantly in the future. It involves using enormous volumes of unstructured data such as photos, video transcriptions, social media posts, presentations, webpages, blogs, articles, and business documents to understand the market sentiment.
Sentiment analysis will transform the future financial markets, and many believe that machine learning will be central to developments.
5. Big Data
According to the IDC Semiannual Big Data and Analytics Spending Guide, currently, banking is one of the top investors in big data and business analytics solutions. Credit card transactions, ATM withdrawals, credit scores, etc., generate massive amounts of data. Deriving actionable insights from this data is crucial to optimize financial processes and make effective business decisions. It will increase the competency of financial institutions in the future.
Big data can help FIs learn more about customers and make business decisions in real-time. Big data analysis allows FIs to identify market trends and streamline internal processes and reduce risks.
Read more: FinTech Innovation: What Is In Store?
The Future of FinTech Adoption
82% of traditional financial organizations plan to collaborate with FinTech companies in the next five years as they fear losing out. 88% of established FIs believe that they may lose to standalone FinTech companies in the next five years if they fail to adopt FinTech innovation.
Financial companies will have to work towards providing a seamless digital experience for their consumers. To avoid the risk of losing out in the market, many FinTech startups, incumbent financial institutions, and technology companies are entering into new partnerships.
Technology in finance is no different than other disruptive technologies across various industries. It would be wise for even small businesses to consider FinTech as an investment for the future. Fingent has developed end-to-end disruptive technologies and innovative FinTech solutions that will help your business thrive and stay relevant. Contact us for more details.
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How AI is transforming businesses worldwide
Post the PC and the dot-com revolution, the world is witnessing another significant disruption- Artificial Intelligence.
Businesses that implement AI applications will have better access to data across multiple functionalities such as customer relationship management, enterprise resource management, fraud detection, finance, people operations, IT management, and other crucial segments. AI helps businesses find solutions to complex problems in a more human-like way and automate processes. Organizations can redirect their resources towards more creative aspects such as brainstorming, innovating, and researching.
The COVID-19 pandemic required solutions in days, not weeks or months, and business leaders needed to act quickly. AI-based techniques and advanced analytics are helping organizations augment decision making during crises like the coronavirus. While machine learning models were a great choice, developing machine learning models or advanced analytical models would take around four-eight weeks. So, the pandemic accelerated the demand for developing minimum viable AI models quickly.
Despite the many naysayers who believe robots will take over human jobs in the future, AI is already revealing itself as more of an enabler than a disruptor. Here are nine examples of artificial intelligence transforming business.
1. Sales and business development
As lockdowns and stay at home orders continue, people are now moving from personal interactions to digital interactions such as online shopping and mobile banking. This shift has created many new and unstructured data that is hard to interpret. That’s where AI comes into the picture and helps understand what consumers feel and need.
AI-powered sales performance solutions can identify which customers are most likely to buy a company’s product or service. This model will help people in sales prioritize their customers and improve their productivity and effectiveness.
2. Demand and Supply
Most companies are interested in matching demand and supply. For instance, a steel company may have information about various factors that may influence steel demand. Typically, these demand measures depend on external data to match up with what the company’s supply chains can generate.
AI solutions help analyze these external data and ensure that the company is not producing more than you need to satisfy the demand and not leaving any request unfulfilled.
COVID-19 crisis is unprecedented, and companies have to make sure that they use data that is representative. Historical data allows you to gain insights into upcoming demand patterns and predict possible outcomes.
3. Back-office tasks
Companies can leverage AI-powered cognitive assistants to perform their back-office tasks such as ordering new credit cards, canceling orders, or issuing refunds. If these assistants cannot handle complex tasks, human assistants can perform those tasks. It will ensure that the team members spend their time solving challenging problems and focus on productive activities.
As long as there are structured tasks, Robotic Process Automation can take care of back-office service operations. RPA is particularly useful for automating the claims processes of banks or insurance companies. Enterprise platforms like SAP offer Intelligent RPA that combines automation and artificial intelligence to augment business process automation.
4. Cash-flow forecasting
As revenue systems dry up, cash flow is likely to be a severe concern for smaller businesses. However, several AI solutions can analyze data (only if representative) for cash-flow forecasting.
5. Document and identity verification
AI can identify and verify documents easily. For example, think of a bank that needs to verify customer data for onboarding and compliance. Human agents manually verify documents such as driving licenses or payslips and other relevant records. It is a costly and inefficient process.
AI is used to identify the type of ID document captured, perform face-matching, determine if the ID’s security features are present, and even determine if the person is physically present.
6. Travel and transportation
The transportation industry forms an integral part of a country’s infrastructure. As many employees may have to self-isolate during the COVID-19 crisis, AI solutions can analyze the number of staff needed by a travel company to run its business in these unprecedented times. For example, a company can request AI to provide information on whether they have enough workers to staff a railroad. Here, AI can help identify demand and supply from the laborers’ standpoint.
AI is already being used in the transportation industry to reduce traffic congestion, avoid accidents, improve passenger safety, lower carbon emissions, and reduce overall financial expenses.
From robot-assisted surgeries to safeguarding personal records against cybercrime, Artificial Intelligence is transforming the healthcare industry like never before. The healthcare industry has suffered in terms of medical costs and inefficient processes.
AI-enabled workflow assistants are helping doctors free up 17% of their schedule. Virtual assistants are reducing redundant hospital visits, thereby giving nurses almost 20% of their time back. Also, AI helps pharmaceutical companies research life-saving medicines in a shorter time frame and reduce costs. More importantly, AI is being used to help improve healthcare in underdeveloped nations.
Read more: 7 Major Impacts of Technology in Healthcare
Examples of AI in healthcare:
- PathAI creates AI-powered technology for pathologists to help them analyze tissue samples and diagnose them more accurately.
- Atomwise uses AI and deep learning to improve drug discovery and to speed up the work of chemists.
- Pager is using artificial intelligence to help patients with minor pains, aches, and illnesses.
The financial sector relies on real-time reporting, accuracy, and processing of high volumes of quantitative data, where AI can enhance the processes. The finance industry is rapidly implementing chatbots, automation, algorithmic trading, adaptive intelligence, and machine learning into financial operations. For instance, Robo-advisor, an automated portfolio manager, was one of the biggest financial trends of 2018.
A few examples of how artificial intelligence transforms the financial industry:
- Betterment uses AI to learn about an investor and create a personalized investor profile based on their financial plans.
- Numerai is an AI-powered hedge fund that uses crowdsourced machine learning from many data scientists worldwide.
9. Social Media
With over 3.6 billion active profiles and about $45 billion in annual revenue, social media is invariably in the battle to personalize and provide a better experience for users.
AI can organize massive amounts of data, recognize images, predict shifts in culture, and introduce chatbots. The technology has the potential to make or break the future of the social media industry.
Similarly, machine learning enables social media to identify fake news, hate speeches, and other anti-social activities in real-time.
With the advancement in technologies, AI is improving possibilities taking businesses to the next level. These examples of artificial intelligence prove that artificial intelligence can transform business models if deployed correctly.
Case Study: Development of AI-enabled chatbots and teaching assistants – How Fingent helped a leading university to create an Automated Intelligence-driven ecosystem
Fingent helps you leverage AI to drive the smart reinvention of your business workflows, processes, and technology. If you are looking to develop an intelligent infrastructure for your business or improve the security process or enhance the customer experience, contact us today!
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The Future of FinTech Looks Promising: Here’s Why!
The COVID-19 pandemic has caused significant disruption and has also cast doubts on the future and growth of the FinTech industry. Despite the devastating impact of the coronavirus pandemic on the global economy, FinTech leaders remain cautiously optimistic about the industry’s growth. They forecast that as people, businesses, and leaders tackle the ongoing outbreak of the pandemic, market fluctuations will experience stability. As soon as the crisis situation is settled, the market is forecasted to start experiencing growth. FinTech solutions are foundational to how we transact in the current scenario and tackle the future market. It is vital for financial institutions to up their game to deliver smarter, quicker, and safer solutions.
What are the upcoming FinTech opportunities that will impact everything in the financial ecosystem?
The ‘Digital-Only’ Era
1. Digital payment services
The coronavirus crisis has brought the significance of cash management to the forefront. There are massive technical and fundamental shifts taking place that are quickly becoming the new normal. Digital-only banks are one of the many such shifts and they increase efficiency and convenience. Nobody is expected to visit the bank physically, stand in long queues, and go through a lot of paperwork. With digital-only banks, you can create an account or transfer money at a location and time convenient for you. Some of the amazing features of digital-only banks are a quick review of account balance, account transaction history, bill payments, and real-time analytics. They offer P2P payments with no transaction fees. They also offer Ethereum and other cryptocurrency transactions. Digital-only banks have a deep connection with technologies such as blockchain.
2. Digital lending
Digital lending is one of the FinTech opportunities that’s prospering while shutdowns and layoffs across the globe resulted in a cash crunch for most individuals and households. Governments have provided some help. However, it is largely left up to financial institutions to provide loans to individuals and businesses. Fintech companies perform better than their traditional counterparts in the lending segment by leveraging AI technology. They can use AI to screen applicants and rate their credit-worthiness. It allows loan applicants to secure loans quickly and conveniently.
Financial institutions must partner with FinTech application development service providers to leverage self-service, multi-channel digital lending processes. This includes loan processing, screening, collection, and credit scores. As an end-to-end process, it will provide customers with a smooth onboarding and approval lending experience.
3. Digital investing
Retail investors around the world are more active in the stock market now than ever before. Access to information that was previously restricted to more advanced investors, has fueled an exponential increase in retail investing. This trend will continue.
Read more: FinTech Innovation: What Is In-Store?
The Era of Blockchain Technology
Identity theft and fraud have been the bane of financial institutions for many years. Blockchain technology plays a crucial part in saving the industry from these problems. The rapid growth and adoption of blockchain is making it an integral part of financial institutions’ operational infrastructure including digital payments, trading shares, smart contracts, and managing identities. Blockchain features such as global reach, speed, and security are motivating its faster adoption among financial institutions.
Companies must build trust and display transparency in contracts and the supply chain. Using blockchain helps them gain visibility throughout the supply chain. It also takes care of quality control and performance benchmarks. It is crucial that financial services quickly adopt blockchain into their systems and search for opportunities to increase FinTech partnerships.
Impact of Regulation
Regulators are needed to balance innovation with customer interests. Regulators have been proactive in helping businesses deliver greater customer value by defining data privacy rules. This has fueled a massive shift in how people spend, buy, save, borrow, and invest. Given the enormous innovation in this sector, the FinTech arena is divided into five broad categories:
- Deposit, lending, and capital raising
- Payments, clearing, and settlement
- Investment management
- Market support
We know that compliance with regulations will become mandatory for banks. This makes it important that banks adopt a flexible and robust digital strategy in order to solve regulatory challenges. Leveraging digital transformation and FinTech innovation will help banks to evolve as a modular body that becomes highly responsive to political and social pressures.
Robotic Process Automation
Robotic Process Automation (RPA) can automate repetitive processes in banking, insurance, and other financial services. This will lower the risk of common errors and inefficiencies while increasing productivity and ROI. RPA does not require programming. Efficiently programmed software robots can automate repetitive processes. Intelligent automation technology goes a step ahead to observe human actions and automate directly, the entire process. IA can be effectively used in the administrative section for the customer onboarding process, risk assessment, data analysis, security checks, and more.
What must you do to take advantage of these opportunities?
Here are a few things you can do to leverage the massive opportunities made possible by the digital-only era:
Financial institutions must invest in the right technical infrastructure. With multiple technology options available in the market today, it is imperative for financial institutions to make the right decision based on the company’s needs and objectives.
2. Market proposition
Develop a clear market proposition. You must partner with FinTech companies to develop robust and scalable apps. Having them as trusted advisors will help you retain your customer base.
Before partnering up with FinTech companies, you must examine their needs and plan on how they want to execute them. This will help you derive greater benefits from the partnership.
4. Product hierarchies
Incorrect product or service information can damage the good reputation of your company. Have a clear definition of products and services and outline their use and cost. This will minimize reputational risk and maximize the opportunity to retain and acquire customers.
Most bank customers may want to switch their accounts. You must allow switching and help your customers to switch seamlessly between products.
6. Educate your customers
Your customers may not be aware of the digital services you provide. Hence, it is important that you educate your customers regarding the use, safety, and implications of your digital technology.
Read more about our Case Study: How Fingent enabled NEC Financial Services to take advantage of the FinTech revolution?
Access to data presents new opportunities for growth. With continuous technology penetration, financial services will see steady growth resulting in the expansion of FinTech. In many ways, FinTech contributes to the revolutionization of the financial sector and the way customers interact with your business. It offers your customers a hassle-free experience and helps your employees to be more productive.
FinTech will help you keep your focus on customer experience and personalization that can drive user loyalty. For a technology partner who will get you to reach new heights in this new era of Fintech, call us!
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The impact and significance of digital transformation in financial services
Changing customer expectations, increasing regulatory complexity, stiff competition, and other factors are constantly pushing businesses for renovation and innovation. Also, the rising number of FinTech companies and solutions over the last few years have completely transformed the financial services landscape. Rather than just technology, digital transformation in financial services has now become an integral part of a successful business strategy. Digital transformation in the financial industry has improved employee and customer experience by helping meet regulatory deadlines and ensure cost-effective operations while remaining highly competitive.
If you consider how banking has transformed over the years, you will understand how digital transformation in banking and financial services has grown to benefit everyone with convenience. From simple branch offices to ATM and mobile apps, digital transformation has offered greater convenience, choice, and experience. Today, customers are gravitating more towards digital experiences and products.
What is the importance of digital transformation in the financial industry?
According to a recent report by Global Economic Prospects, the global economy will contract by over 5% in 2020 due to the COVID-19 pandemic.
However, the crisis has accelerated economic transformation, leading to an increase in the adoption of digital financial services.
Although the digital transformation was a development priority even before the COVID-19 crisis, it has now become indispensable for both short-term as well as long-term sustainable recovery efforts.
Here are four fundamental shifts that are forcing financial institutions to accelerate the rate of digital adoption.
1. Forced adoption of online and mobile channels
Social distancing and lockdowns are forcing people to stay indoors or go outdoors only to buy essential items. This has forced the rapid adoption of digital technology across the globe.
Deloitte reports that the United States, which has traditionally lagged in digital adoption is experiencing an all-time high in the number of check deposits and mobile logins. Interestingly, the major contributors to this growth are baby boomers and senior citizens who have been typically slower to adopt the digital channels.
For example, Goldman Sachs reported a 25% increase in the number of active users on the bank’s institutional platform. Also, the country has seen a spike in call center interactions as customers seek protection from the financial crisis caused by the pandemic.
2. Digital and contactless payments
The lockdown has witnessed a race among retailers to set up e-commerce capabilities to capture sales. With consumers shifting to online purchasing, there has been an acceleration towards digital and contact payments.
While MasterCard reported over 40% growth in contactless payment across the globe, Visa reported a staggering 150% increase in the U.S alone. Hygienic payment modes such as digital wallets, scanning QR codes, click/tap-to-pay, etc. have taken off well to encourage contactless payments during the pandemic.
3. Virtualization of the workforce and ways of working
Previously, financial institutions hardly imagined their workforce working remotely. But, the COVID-19 pandemic has forced financial services companies to build a remote work model.
Wells Fargo and Bank of America have pushed almost 70% of their employees to work from home and have established contingency locations for those employees who are into trading and operations. Standard Chartered Bank has kept most of its employees working from home, increasing its VPN system capacity to 600% to keep pace.
Bandwidth issues aside, this transition has been largely successful due to digital disruption in financial services. Most financial companies have even committed to making the remote working model permanent.
4. Evolution of economies and underlying market structure
Even though financial companies have been enjoying stability for years, the COVID-19 pandemic has fuelled margin pressures for companies.
On one hand, insurers are fighting lowered premiums and high claim costs due to the market scenario, while on the other hand, banks are affected by reduced interest rates. Though it is difficult to predict the duration of the economic downturn, it is forcing financial services companies to operate effectively and efficiently to remain competitive in the market.
Moreover, as the market dynamics continue to evolve, “big tech” is likely to reinforce its foray into financial services leveraging its scale, size, and expanding its role in the consumers’ day-to-day activities. Also, smaller FinTechs could be at risk with their funding models. All these evolutions will have a substantial impact on buying, building, and partnering decisions for many incumbents as well as start-up financial companies.
Top 6 digital transformation trends in the financial industry
1. Mobile banking
The digital banking environment allows customers to transfer funds, deposit checks, and apply for loans easily from their mobile devices. Today customers prefer to do online banking at their convenience instead of visiting the brick-and-mortar banks. More and more customers prefer to use mobile banking as it allows 24/7 access, almost negligible waiting time, and ease of use. Mobile banking has changed the functioning of banking and financial institutions to a great extent and is expected to grow further in the coming years.
Blockchain is gaining momentum steadily and will play a crucial role in digital payments, loan processing, escrow facilities, etc. Additionally, Blockchain will be used in RegTech (a new technology that uses information technology to streamline regulatory processes) to avoid unnecessary regulation breaches.
3. Big data
Big data is everything. Financial institutions including banks are using machine learning to process data and drive analytical solutions effectively. Big data helps banks and other financial institutions to serve their customers efficiently by tailoring their services based on the insights gathered. Eventually, this can help financial institutions to bring in more investment and create a great work environment for both employees as well as customers.
4. Mobile apps
While everything in banking and other financial services is going mobile, there are third-party financial service providers who are competing with the banks. They could be financial managers, unconventional leaders, or financial budgeting mobile apps. Banks will have to consider ways to integrate these third-party services- what information to provide, the companies they want to partner with, and which services they are likely to offer to their customers directly without the need of the middle-man.
5. Automated Wealth Managers
Artificial Intelligence (AI) is disrupting several industries with automation and numerous other possibilities. Wealth bots or automated wealth managers use complex algorithms to calculate the best investment opportunities, best loan providing institutions, best interest rate, etc. Automated wealth managers have made financial planning a breeze and are also helping people achieve their business objectives accurately and with great returns.
6. FinTech (Financial Technology)
FinTech is a modern technology adopted by banks and financial companies to deliver financial services efficiently. It has improved drastically since its ATM and credit card days to the latest digital banks and blockchain technology.
FinTech along with automated technology and machine learning algorithms are revolutionizing the world of finance. Digital technologies such as customer service chatbots, expenditure tracking, and online budgeting tools are some examples of how far financial services have come today.
How Fingent can help you?
As your digital solutions partner, we will help you navigate industry disruption and equip you for future challenges. We apply our extensive experience and deep industry knowledge in fintech to guide you to see digital transformation through fruition. Here, we ensure to maximize value with minimal disruption to your existing infrastructure to help achieve your goals. Get in touch with us to learn more.
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The inevitable role of FinTech in improving your financial systems and outcomes
The COVID-19 outbreak has affected every aspect of the economy including financial technology or FinTech. Postponed events and conferences mark missed opportunities for FinTech companies, which could have been a great time to build relationships and focus on new businesses. As investors and customers retreat to more cautious positions, FinTech companies may find fundraising a challenge. Those who seek consumer investments are hit harder. Consumers may be reluctant to invest during such volatile times. Even those consumers who are relatively insulated from economic fallout may choose to invest in safer options for the present. FinTech innovations can improve the efficiency of the financial system and financial outcomes for their customers. This article will discuss how FinTech can safeguard customers’ interest in the post-pandemic world.
What is FinTech?
FinTech is a combination of Finance and Technology. It is used to describe new technology that can improve and automate the use and delivery of financial services. It also enables people to live upgraded lives through innovation. FinTech includes many sectors such as fundraising, education, retail banking, and more. It plays a major role in the development and usage of cryptocurrencies. FinTech also covers various day-to-day financial activities including money transfers, check deposits, and investment management.
Read more: FinTech Innovation: What Is In Store?
Why protect customer interest?
Customers are the primary source of growth, so they must be handled with the respect they deserve. Any product or service which is customer-centric offers the potential to attract and retain customers. Since FinTech provides advantages of speed and convenience, customers are looking at FinTech as a viable alternative. People want streamlined services with applications that are easy to adapt to. Hence, FinTech companies are outlining measures to make their services less complex and more transparent. They are focusing on creating better digital processes that their customers can personalize easily.
Customers’ convenience and requirements are paramount for FinTech start-ups. To that end, they are designing products and solutions to ensure customer satisfaction. Delivering a top-notch customer experience is the goal of FinTech companies globally.
Measures to protect customer interest
Here are some cutting-edge technologies that are protecting customer interest now and into the future:
1. IT foundation for better customer experience
FinTech startups are usually smaller in size and have a technological edge. They have a fresh canvas, allowing them to migrate easily from legacy technologies. The younger digital-first audience is attracted to their services. Larger FinTech enterprises must adopt a new IT foundation with modern technologies. Currently, FinTech customers prefer startups over established brands because they can reap the rewards in the form of better digital experiences. Though startups have a technological advantage, they must continue to focus on their capital reserves to make it through these unprecedented times.
2. Digital communication tools
The FinTech sector is based on understanding the needs of their customers. It is crucial for these companies to strategize the manner in which service providers communicate with their customers. This gets customers locked onto their services with relative ease. Communication through online media or through the content on your site can draw in new leads and build customer trust. When customer interest is protected, they will most likely return to you. In turn, they will recommend the service to their relatives and friends. These parameters are crucial if you want to keep your business afloat.
3. Embrace digital transformation
While your staff may be susceptible to coronavirus, technologies like ML and AI are immune. The financial services system must address customers’ demands swiftly and efficiently. Smart devices and the integration of artificial intelligence are a great way to achieve this. Virtual assistants and chatbots can deliver a customized experience to your customers. They perform all the activities that are usually done by customer service personnel and other executives. However, these digital solutions are faster and reflect sophistication. Digital transformation provides holistic 24/7 monitoring and automated remediation.
4. Digital banking
Previously, a customer’s confidence in a financial company depended mostly on physical infrastructure. However, COVID has changed that momentously! The new generation banking system is going all-digital to reach mobile-first customers. Digital-only banks do not need sophisticated infrastructure or higher human resource management. Digital banks are able to deliver cost-effective, robust services that match the high standards set by traditional banks.
5. P2P Transactions
P2P digital payment is quickly gaining popularity. Customers are adopting such technologies for daily use. P2P eliminates the middle layer and drastically reduces transaction costs. Digital transactions help FinTech enterprises expand their footprints and customer base.
6. Security and privacy
FinTech is an industry where the risk of financial crime is high. It is vital for FinTech companies to think over customer security while designing their consumer experience. Apparent security measures make customers feel comfortable. Customers expect rigid security from FinTech solutions along with reliability and FinTech is practicing stringent security measures to beat the competition. They are making visible efforts to handle customer data with care. To gain the attention of your customers you can make your privacy policies visible enough on your website or app. Remember, it can reflect on the confidence a company has in its security measures.
Changing for the better
It may be difficult to predict how the payments landscape will emerge in the next few years and what will be the long-term impacts on the FinTech industry. Nevertheless, it is likely to witness a transformation that can dwarf what has been achieved thus far. At such times, it is important to gain the confidence of your customers to retain them and enjoy their loyalty.
Thus far, FinTech has only been in the shadows as it were, but now it has found a home in the innovation economy globally. Millennials are more reliant on their smart devices to accomplish their daily tasks. They want the world and its conveniences at their fingertips anywhere and anytime. Given that, perhaps the future might see more interesting innovations in customer experience.
Let’s look at some opportunities for FinTech in the future:
- Companies with remote workforces are better positioned to thrive during and after this difficult period.
- FinTech gives an impetus for greater adoption of contactless money transactions.
- FinTech companies are well-positioned to find new ways to incorporate better digital solutions.
In order to capitalize on all these opportunities, you will need a technology partner to help guide you through the latest innovations. Give us a call and let’s discuss how Fingent can help you guide your business and customers to success in the post-pandemic world…
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How is AI Transforming Various Industry Sectors?
From Siri to self-driving cars, Artificial Intelligence has been breaking into new realms, including industries that are late to adopt technology or that heavily rely on manual labor. Gartner predicts that by 2020, AI will produce more jobs than it displaces. By 2022, one in five workers engaged in mostly non-routine tasks will rely on AI to do a job.
The future of AI only looks bright!
According to experts, AI and the future of work will amplify human efficiency and productivity. AI may match or even surpass human intelligence and capabilities on tasks related to pattern recognition, complex decision making, sophisticated analytics, language translation, reasoning and learning, and speech recognition.
This article discusses how five major industries are benefiting from AI and its innovations.
No surprises here. AI in healthcare always comes first on the list. From doctors, surgeons, nurses to desk receptionists at clinics, Artificial Intelligence is enabling process automation across the healthcare community and ecosystem.
AI tools enable medical professionals to diagnose symptoms, identify trends, analyze data or information that would predispose a person to a particular disease.
AI-powered bots assist surgeons with heart, thoracic, and colorectal surgeries. Using bots for surgeries helps lower the risk of infection and blood loss, reduce pain, ensure higher accuracy, shorten hospital stays, and expedite recovery. Digitized health records (EHRs) help patients access their information on a shared online health portal.
Along with other technologies, Artificial Intelligence is being widely used in the ongoing fight against the COVID-19 pandemic. Remote patient monitoring using AI-powered medical equipment or devices help doctors maintain a safe distance from the patients, while offering treatment. The massive amounts of data generated every second in the field of medicine can be utilized effectively to continuously train AI systems through which these systems acquire the capabilities to generate insights that can aid medical researchers.
The future of AI in healthcare could include everything from answering the phone to interpreting radiology images, and designing therapeutic drugs.
AI plays a key role in helping achieve better productivity, efficiency, and visibility across manufacturing operations. AI systems can transform the way organizations run their production lines, enhance human capabilities, garner real-time insights, and facilitate the design and product innovation.
Read more: Digital Transformation in Manufacturing
Following are some of the ways by which AI impacts the manufacturing sector:
- AI systems help monitor every stage of the production cycle and machine learning algorithms can be used to predict the fill rate, thereby optimizing the manufacturing processes and production planning.
- Small, lightweight “cobots” help create safer working environments. Manufacturers can adopt robotics to perform dangerous jobs, thus sparing their employees for crucial tasks, thereby avoiding occupational health hazards. Cobots are considerably less expensive and easy to program than the usual industrial robots. Soon, machine learning algorithms can improve their capabilities and help the cobots take instructions from humans and interact with them in a better way.
- Predictive maintenance helps companies understand when machines need to be attended and serviced. Using machine learning, predictive maintenance can generate valuable data that helps prevent unplanned downtime. Sensors and advanced analytics in manufacturing equipment allow manufacturers to respond to alerts and resolve machine issues on time.
- Engineers or designers can input design goals and other parameters into generative design software (a program that generates several outputs to meet specific criteria) to explore better designs. Using machine learning, designers can learn from each iteration and understand what works and what does not.
According to a report by Business Insider Intelligence, about 75% of bank respondents with assets worth over $100 billion said that they are using AI technologies compared to the 46% of banks with assets less than $100 billion.
As much as $199 bn is saved for the front office and $217 bn for the middle office. AI technologies in banking can help generate over $250 billion in value. Considering the significant savings opportunities, more and more companies are implementing AI. Simply put, AI helps financial services companies mitigate risk, reduce overheads, and generate more revenue.
Thanks to the numerous AI applications, the academic world is becoming more personalized. Today, a student can access study materials easily through computers and smart devices. AI helps automate administrative chores and minimizes the time required to complete complex tasks thereby allowing teachers to spend more time with each student.
Teachers can assess both multiple choice tests as well as written responses easily. Robots are helping create smart content such as video lectures and simulations as well as digitized textbooks that can be customized to the learning requirements. Along with the learning aids, these digitized interfaces help students of all academic ages and grades.
There is also a rising interest towards smart campus initiatives. A smart campus is a physical or digital set-up in which humans and technology- based systems come together to create and deliver automated experiences across higher education institutions.
AI is eliminating the boundaries of learning regardless of the physical locations. Today, students can learn any course from anywhere across the globe, at any time. AI-powered education helps nurture the fundamental IT skills of students and soon, there will be a wide range of highly interactive and personalized courses available online.
The retail and e-commerce industry has huge volumes of customer information, sales forecasting, stock and inventory to be tracked. Artificial Intelligence helps simplify data management to a large extent. For example, while searching for a product on an e-commerce application, AI recommends similar items according to your budget, color preference, purchase history, browsing data, online behavior, etc.
Cart abandonment is a common issue in the e-commerce industry which occurs when a customer adds items to their shopping cart but does not purchase them. With the help of chatbots and predictive analysts, the likelihood of cart abandonment can be reduced. Chatbots can remind your customer of the items left in their cart before they choose to navigate away.
Previously, people had to rely on the FAQ section of the website to get their questions answered. However, this included unchangeable questions and static answers and most customers were not satisfied with the answers. Today, however, it is changing. A chatbot agent can respond to questions using Natural Language Processing or NLP in a much better way and ensure that potential customers don’t abandon your website. Integrating voice search features into e-commerce applications helps offer a seamless digital customer experience.
Artificial Intelligence and machine learning together are promising to help transform every industry by guiding, organizing, and automating work. AI is definitely here to stay! At Fingent, we have the expertise to help businesses of all sizes including startups as well as established enterprises to gain an edge over competitors.
From suggesting products or providing basic customer service or running software tests, developing apps, and completing extensive problem-solving procedures for industries, we use AI technologies such as machine learning, natural language processing, and business rules that will provide you with optimal results. Get in touch with us to learn more.
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The Growing Application of AI in Insurance Leads to a Radical Transformation
- Why does the insurance industry require AI now?
- What are the benefits of AI in the insurance industry?
- Top 3 primary use cases for AI in the insurance industry
- Must-have AI technologies for the insurance industry
- Are you ready to ride on the wave of AI?
Digital transformation is not a business decision, it is a survival strategy. The Insurance industry is slowly recognizing that this vital truth is applicable to them as well. As insurers face several strategic and operational challenges due to the COVID-19 pandemic, they are recognizing that technology is the only answer and solution. Armed with this knowledge, the insurance industry is undergoing a swift and tremendous transformation, driven by the burning need to improve customer experience.
Artificial Intelligence lies at the heart of these changes and is fundamental to success. AI tries to solve the age-old problems by integrating them with existing infrastructure or by replacing legacy systems. This article answers some of the pertinent questions that will assist industry leaders in making an informed decision.
Why does the insurance industry require AI now?
Unlike many other challenges that are usually contained to one geographic location, COVID-19 is impacting essentially every corner of the world. It gave the entire planet a crash course in connected living and has made massive changes. Small insurance companies are now struggling to survive the onslaught of new requests and most larger firms may need to downsize to make it through these stressful economic times. In this climate of uncertainty, AI will be one of the key factors that will help winners survive. Until recent times, the insurance industry has only used AI in minimal ways. But there are several processes that could be improved drastically using AI.
1. Marketing and sales:
AI technologies can be used to price insurance policies more relevantly and competitively. It can be used to recommend the most beneficial products to their customers. Insurers can customize the price of their products based on individual needs and lifestyles so that their customers are happy to pay only for the coverage they need. This heightens the appeal of insurance to a wider audience while attracting some newer customers.
2. Risk management:
Neural networks of AI can be used to red flag fraud patterns and minimize fraudulent claims. AI can also be used to improve actuarial models and risks that could lead to working out more profitable products.
Chatbots can be developed to understand and answer the bulk of customer queries over chat, phone calls, and email. This is especially helpful during situations like the pandemic where customers and insurers are unable to meet with each other. This can free up significant resources and time for the insurers that can be used in more profitable activities.
Read our white paper: How can your business use AI to achieve higher profits now?
What are the benefits of AI in the insurance industry?
1. Efficient process:
Currently, we are witnessing the first wave of tangible opportunities. The automation provided by AI is offering insurers reduced costing along with more efficient processes. The work dividends form the first wave of benefits. Monotonous, low-level, hazardous, and long-drawn-out tasks are taken over by machines freeing humans to do the high-level and more productive tasks. It also ensures efficiency without the margin of human error.
2. Accurately measured and priced data:
The role of underwriters is changing as AI is set to re-engineer and amplify insurance underwriting. Powered by the disruptive growth of data, AI has the potential to help underwriters analyze vast amounts of information, locate red flags, and help them make more accurate decisions. While we are not expecting to eliminate human underwriters, working alongside AI systems will ensure that all risks are accurately measured and priced.
3. Claims processing made easy:
Claims processing has long been a pain-point for the insurance industry. Managing claims requires a significant manual effort right from document processing to flagging potential fraud. Restricted movement during the COID-19 pandemic makes this task especially difficult. AI can be used to automate document processing. It can scan complex forms quickly and accurately. The insurance company can cut its claims processing time from weeks to just a matter of minutes. AI can help ensure that rejection of any claim is based on solid reasons. This way, insurance companies can drive cost efficiencies by reducing the number of denials that prevent claimants from going for appeals which insurance companies may ultimately have to settle.
Top 3 primary use cases for AI in the insurance industry
The advent of AI represents a quantum leap in how insurance is bought and sold, and how customers are served. Also, it is creating opportunities for insurance companies to affix their leadership positions within the industry.
Here are five primary use cases. If beginners can use this approach to disrupt the old guard, established firms can stave off new competitors and differentiate themselves from conventional foes.
Use Case 1: Always-on customer service
Insurance companies are expected to meet the customer’s expectations themselves. Gone are the days when we companies used to delegate customer service to brokers or agents. Customers expect to reach their insurance providers through any channel-like website, email, mobile app, voice call, chat, social media, etc. It’s become mandatory for insurance providers to possess multi-channel capabilities to handle queries and attend service requests. This is where AI comes to the rescue enabling insurance firms to be on the job 24/7. Always-on, multi-channel service available through chatbots, and customized interactive tools will be your secret sauce to exemplary customer service.
Use Case 2: Automate processes that are difficult to automate
Insurance companies employ a large workforce to manually perform operational processes. Variations in products, state-specific rules, and lack of adoptions of standards across the value chain previously made it harder to automate the process. With AI, it is now possible to predict and continuously improve the process by leveraging ML thus automating the processes effectively. By combining RPA tools with cognitive technologies, insurance companies can automate processes such as customer service requests, endorsements, and claims-processing, and provide a faster turn-around time.
Use Case 3: Continually improve the value from data
Predictive models help insurance companies determine business-critical aspects such as the maximum possible loss, probability, and pricing. However, as the companies innovate products, reach out to newer customer segments, and address new risks, these predictive models quickly get outdated making it difficult to keep up with changes. AI makes it possible to provide a feedback loop for machines to learn and adapt to ever-changing insurance business needs.
Must-have AI technologies for the insurance industry
AI has become the cornerstone of digital transformation for the insurance industry. Leveraging AI technologies can help insurance companies address various issues that they may encounter. These are some must-have AI technologies in the insurance industry:
1. Image analytics
Insurance companies must carry out inspections to validate their decisions based on actual facts. This helps them spot any existing or potential risks and support their customers in risk management. This can be very time-consuming. The use of AI focuses on the reduction of inspection time and increases the surveyor’s productivity. It can be applied in property and casualty insurance to analyze the images of cars at the accident scene, determine the parameters, and assess replacement costs.
Advanced image analytics enables quick analysis of photos to determine parameters crucial from the perspective of life insurance. These parameters enable insurers to decide whether medical underwriting is required or not and provide an instant quote and formulate policies.
2. Internet of Things
IoT allows insurance companies to cross-sell to existing customers. They could offer discounted insurance to existing customers. There are several IoT backed devices that can detect and alert a customer when there is an issue within their home or commercial property. Integrating IoT with AI, insurance companies can offer a far superior service and enhance the customer experience.
3. Machine Learning in underwriting
The automated process eliminates the tedious and error-prone job of dealing with unstructured documents and extracts information from them to make business decisions. AI, ML, and Deep Learning can help in extracting such information, aligning it to common vocabulary, and making that information accessible through virtual assistants or search engines. This way underwriting now becomes an automated process that lasts just a few seconds.
4. End to end automation
AI helps insurers automate complex processes, end to end. Using RPA, you can tackle simpler and repeatable tasks. For example, the claims assessment process can be automated to enable the assessor to receive evidence through more advanced AI-based techniques.
Insurance companies receive data from brokers in a variety of formats and require many people to convert the data to a standard format. AI can map this data accurately allowing insurers to reduce inefficiencies in their processes. It can also improve data quality by detecting gaps and addressing those gaps in the incoming data.
5. Machine Learning for price sophistication
Price optimization techniques with the help of ML and GLMs help insurance companies to understand their customers, allows them to balance capacity with demand, and drive better conversion rates.
6. Connected claims processing
Advanced algorithms can help insurance claims to be automated which allows insurers to attain high levels of accuracy and efficiency. Data-capture technologies can replace manual methods. Evaluation of the validity of a claim is also made much simpler.
Are you ready to ride on the wave of AI?
Rapid advances in AI will lead to disruptive changes in the insurance industry. The winners in AI-based insurance will be those who harness the power of new technologies. Most importantly those companies who do not view disruptive technologies as a threat to their current business will thrive in the insurance industry. Get started on making sure you are one of them! Contact us to adopt the power of AI into your insurance business.
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How to Solve Accounting Challenges in Business with Augmented Intelligence
The challenges faced by finance and accounting teams are like the underwater icebergs that can crash a huge ship. The Titanic sank because of poor decision-making. Likewise, weak financial decisions can affect your business. This blog will help your finance and accounting teams to identify the hidden challenges and provide insights on how to use Augmented Intelligence to overcome complex business challenges effectively.
5 Reasons Why Augmented Intelligence Is Gaining Importance
Many businesses are embracing Augmented Intelligence because;
- Enormous volumes of data can be processed quickly and efficiently with Augmented Intelligence.
- Accounting tasks such as audits, payrolls, taxes, and banking can be automated using Augmented Intelligence.
- Due to its ability to continuously learn, Augmented Intelligence can constantly improve efficiency while eliminating the risk of human error.
- It enables humans to make crucial decisions without bias by providing fair information and recommendations.
- Tedious tasks such as bookkeeping can be automated and streamlined.
Top 4 Solutions Offered by Augmented Intelligence
Challenge 1: Protecting the business from fraud
According to the 2018 global fraud and identity report, 63% of businesses still continue to experience the same number or more fraud losses than the preceding year. And only 54% are ‘somewhat confident’ in their ability to detect fraudulent activity. The wide variety of fraud types and the enormity of the work involved in reviewing the data manually or by rule-based systems can make the detection and prevention of fraud a huge challenge.
With the help of Augmented Intelligence, large transactions can be analyzed in real-time which helps in detecting fraud. Since Augmented Intelligence can even categorize the score of fraudulent activity, investigators are able to prioritize their work effectively. Once the fraud is detected, Augmented Intelligence allows you to reject the transaction outright. Since Augmented Intelligence continues to learn from past data, it can learn from investigators’ reviews and understand how to discern patterns that lead to fraudulent activities.
Challenge 2: Risk Assessment
While evaluating potential risks in lending money or providing credit, businesses could end up denying credit without assessing their current situation using traditional methods. Worse yet, they could end up approving credit to churners who could affect profits. The organization might also face the challenge of explaining to the consumer the reason for denying them credit.
Augmented Intelligence helps you assess your customers’ current income and recent credit history based on the enormous data that is available at hand. This allows for a more realistic and accurate assessment of each borrower. Such kind of assessment allows financial firms to make more individualized decisions. Besides, Augmented Intelligence can provide reason codes which would explain the important aspects involved in credit decisions, making it easier to provide reasons why credit is being denied.
Challenge 3: Trading and Investment
According to a 2018 survey conducted in the US, 70% of millennials use mobile banking in the US alone. And this figure is steadily increasing all over the world. Businesses cannot function without mobile applications. It has become a channel of interaction with customers who would like to review transactions, pay bills and find customer service. Failed interactions would translate into increased customer churn, lost transactions and even lost revenues.
Augmented Intelligence can assist your business in detecting anomalies in transaction volume by identifying the triggers for such anomalies. Based on previous data patterns, the system can look at expected data volumes which can then be compared with real-time transaction values. This will help in your decision-making process because it clearly and quickly indicates the highs and lows of a transaction by suggesting solutions that meet each individual demand.
Challenge 4: Combating Money Laundering
It is estimated that the amount of money laundered globally in one year is 2 – 5% of the global GDP! And this seems to be increasing at an alarming rate. To combat money laundering, extensive investigations must be performed by the finance and accounting teams.
Augmented Intelligence can detect suspicious and complex transactions and raise a red flag on such transactions so investigators can further examine them. Augmented Intelligence can learn from each experience and more effectively safeguard your firm.
Related Reading: The Future Of Communication and Security Using Augmented Reality
Discover New Growth Opportunities by Applying Augmented Intelligence
Augmented Intelligence can help finance and accounting teams reduce costs, improve operations, increase consumer satisfaction and reduce the time taken for various processes by 80-90%. It can also reshape your entire organization from internal operations to treasury services. It can assess the available unstructured content and help your business unlock valuable insights from them. This enables smarter decision making, which in turn helps in the growth of your business.
When your business adopts Augmented Intelligence as part of your methodology, it gives your customers benefits that will lead to loyalty and growth. Fingent has been helping many clients achieve this, and we can help you too. Give us a call and let’s discuss.