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With increasing high-street competition, AI is redefining the banking sector with each and every customer interaction. With banks, like NatWest, deploying AI-based virtual assistants to offer customer-facing communication around the clock, the consumer banking experience is now heavily digitised, with 86% of banks stating they now use AI technologies in some way. 

Martin Linstrom, Managing Director for UK and Ireland at IPsoft, looks at the next stage in technological evolution of the banking industry and how artificial intelligence (AI) will redefine banking as we know it.

The banking industry has made huge strides to drive innovation by investing in new technologies over the last few decades. Commercial banks first adopted telephone banking, then came internet banking and now, for most customers, all your financial services needs can be met via an app. Now, as we enter the conversational era enabled by cognitive AI, customer expectations have evolved once again.

Banks have long been ahead of the curve in terms of elevating the user experience for their customers and so, it’s perhaps unsurprising that many are already looking to AI-powered digital assistants and are investing in cognitive solutions to upgrade and scale customer-facing financial management processes. Many banks are also looking at how they can provide the same simple, frictionless service to their own employees.

Banks have long been ahead of the curve in terms of elevating the user experience for their customers and so, it’s perhaps unsurprising that many are already looking to AI-powered digital assistants

As AI-powered customer interfaces gain mainstream acceptance, we will once again see a revolution in technological change within the banking industry. So, what functions within banks will cognitive assistants transform?

Building a hybrid workforce

Virtual assistants have a twofold capability which is driving innovation in the banking industry. Firstly, they can be implemented in back office functions such as finance or HR and secondly, they can supplement customer service centres. Creating a hybrid workforce of human employees and AI-powered virtual assistants can help drive enormous cost efficiencies and increase staff productivity. Employees in administrative roles can pass their repetitive tasks over to their digital colleague, freeing up their time to focus on more creative or interesting work that requires soft skills whilst customer service agents can pass standard requests through an AI system leaving them with only the most complex of customer queries to deal with.

Ubiquitous customer services

One of the most attractive things about AI-powered customer services for banks is its ubiquity. With virtual customer service agents available 24/7 and through a variety of channels such as live message, telephone or email, it’s a win-win situation for both bank staff and customers. From a customer’s perspective, simple requests such as password resets or international transactions can be performed in an instant and there’s no need to visit the bank or spend an hour in a telephone queue to speak to a human agent.

One of the most attractive things about AI-powered customer services for banks is its ubiquity.

Banks adopting customer-facing AI solutions are in fact seeing increased customer satisfaction rates despite removing the human-to-human contact element. For example, since implementing IPsoft’s AI solution, Amelia, SEB, a leading Nordic bank has been able to avoid 544 hours of escalations to customer support with an average handle time of six minutes. What’s more, Amelia has reached an 85% accuracy in immediate intent recognition which has meant a faster service delivery to customers and soaring customer satisfaction.

24/7 banking support

Unlike human agents, digital assistants can work around the clock, seven days a week with no breaks and without tiring. For modern consumers, particularly young digital natives who expect to be able to manage their finances at any time of the day, integrating AI into a bank’s customer service centre will soon become the norm. Chatbots are already an industry standard, therefore at the very least, banks that don’t continue scaling this technology throughout their business will find themselves at a severe competitive disadvantage, trailing behind the market by delivering an inferior customer service experience.

Go beyond simple chatbots

Digital assistants with cognitive intelligence capabilities represent the next leap in automation for financial institutions. Digital colleagues like Amelia are now able to perform tasks above and beyond mere transactional ones, digitising more complex financial management processes such as wealth management onboarding and mortgage applications. Unlike simple chatbots, digital colleagues are also able to develop their cognitive abilities through an advanced Natural Language Interface (NLI) which can process customer queries asked in hundreds of different ways, including slang. More importantly for the banking industry, they can handle context switching so that when a customer moves quickly from one request to another, the interface is able to process both requests without starting over.

Many banks have already integrated voice capabilities into their finance management solutions. Customers communicate via text or voice to gain quick answers to banking questions, tailored financial advice and can even carry out transactions all from the same channel. Voice-enabled digital assistants can handle payments and transfers, credit card activation, charge disputes and travel alerts for customers at any time, freeing up customer services teams to focus on more complex customer enquiries and giving customers full control and access to their finances. Conversational AI will become more and more widely accepted as banks start to harness the technology to help drive customer engagement and operational efficiencies.

Sophisticated systems can recognise patterns from the sheer amount of data that they are processing. Thanks to these capabilities, businesses can easily find out the most common types of transactions by customers of a certain demographic and can then retarget this group for specific marketing or sales campaigns, helping to drive revenue.

Delivering better insights and improved security

Unlocking key business insights is another key driver motivating banks to invest in AI. Sophisticated systems can recognise patterns from the sheer amount of data that they are processing. Thanks to these capabilities, businesses can easily find out the most common types of transactions by customers of a certain demographic and can then retarget this group for specific marketing or sales campaigns, helping to drive revenue. These real time insights can help business leaders make better, more strategic decisions that are informed through concrete data.

Real-time data mining can also be applied to improve customer security as many AI tools have built-in privacy and security by design. An AI-powered virtual assistant can pick up on irregular payments immediately, flagging potential “phishers” to a human agent for additional authentication. What’s more, advanced machine learning solutions can improve over time so that banks can continue to scale up their services. Virtual assistants like Amelia can go one step further by ‘learning on the job.’ Essentially, when Amelia does not understand a request or query she can pass it on to a human colleague but remains in the conversation to learn how to resolve the issue next time.

The future of retail banking

The financial services industry has long been at the forefront of technological innovation. Whilst many businesses are still debating whether to invest in AI, major banks are very much leading the way to invest in the technology and are thriving as a result. As virtual assistants become increasingly more intelligent and their cognitive abilities develop, the expectations for banks and the services they offer will be elevated. Banks that rest on their laurels and refuse to acknowledge this risk falling behind permanently, particularly with the slew of challenger fintech companies that are appearing on the market, offering dynamic and tailored financial services at a lower price.

As UK banks continue to report their interim results, the forecast remains positive for banking giants Royal Bank of Scotland (RBS) and Lloyds Banking Group. While the outlook is rosy, traditional lenders still face fierce competition from digital challenger banks, with 61% of smartphone owners opting to bank solely online.

RBS is expected to outperform analyst predictions and Lloyds’ strong financial performance is forecasted to continue. Although confidence is high, traditional institutions remain under pressure to maintain market share in the increasingly digital climate. To do so, many are focusing on securing their long-term future by improving customer-centricity, regardless of the short-term impact on profit.

Many traditional banks are looking for novel ways to raise the standard of their customer services, with features such as chatbots and roboadvisors, says Bhupender Singh, CEO of Intelenet Global Services.

Mr. Singh comments: “Despite 42% of people moving to alternative service providers for personal banking needs, over half are choosing to stick with their traditional bank, making these institutions a force to be reckoned with.

“But this does not mean that traditional lenders should become complacent - in the age of the customer, it is crucial that banks can provide advice and support that is truly in the customers’ best interest. One way that banks are streamlining the customer experience, is by using chatbots and AI technology to carry out customer interactions.

Mr. Singh continues: “For instance, voice recognition software can be paired with customer records and predictive tools to identify a specific customer and confirm which department they require before sending them there directly, without the customer having to explain their problem multiple times. This dramatically improves the customer experience and, for one bank, has reduced the average handling time by 40%.

“But while technology is a key part of the solution, it is important to remember that it is simply that – a part of the puzzle. A human touch is still essential to solve many of the financial issues that people face. Much of the best automation and AI technologies in the banking sector takes away the burden of repetitive tasks for staff, allowing them to focus their efforts on quality in-person service.”

(Source: Intelenet® Global Services)

Four out of five businesses will use chatbots by 2020, 85% of all customer interactions will be handled by them and they will generate $600bn in revenue in the same year, according to a recent Oracle survey. This week Chris Crombie, Product Manager at Engage Hub, believes now may well be the best time to start investing in chatbots.

In just under two years’ time, chatbots – conversation-mimicking computer programmes that provide your customers with an instant, personalised response – will be ubiquitous. Driven by innovation in artificial intelligence (AI) and the insatiable desire to enhance and personalise the customer experience.

Simply put, chatbots are one of the clearest concrete examples of how the “AI revolution” is impacting on the business landscape and on the day-to-day lives of millions of consumers worldwide.

Consumers happy to chat to bots

Consumer familiarity with chatbots has increased over the last decade, a result of our familiarity with things such as self-service machines in supermarkets and interactive IVR.

With the latest advances in AI technology pushing new boundaries, it’s easy to see why many are claiming that 2018 is set to be “the year of the chatbot”.

That’s because, for any company that has an interest in offering a great customer experience, the potential benefits of enhancing customer satisfaction and responding to customer’s needs in a faster and more efficient manner by using chatbots are immense.

Plus, new messaging applications such as Facebook Messenger, WhatsApp, WeChat and traditional SMS are proliferating, which means millions of new opportunities to reach customers and communicate with them using the communications channels they utilise and like the most.

Understanding innovation in AI, Machine Learning and NLP

To understand the latest chatbot innovations, it’s necessary to have an understanding of Artificial Intelligence (AI), Machine Learning and Natural Language Processing (NLP).

Artificial intelligence is the theory and development of computing technologies that can perform tasks that previously required human intelligence. Mainly relating to speech recognition, visual perception, decision-making or language translation.

As an extension of this, Machine Learning is the application of AI technologies in ways that use data to learn and improve automatically, without being given explicit instructions. While NLP is the branch of AI that helps computers understand human language as it’s spoken and written to be able to understand intent.

The computer chatbot uses AI and NLP to imitate human conversation, through voice and/or text. So, in addition to the above-mentioned text-based instant messaging systems, voice-controlled chatbots are becoming increasingly popular, both in the home and in business contexts.

Amazon Alexa, for example, has proven to be an immensely useful consumer technology over the last two years in terms of its educational benefits, teaching consumers about the ease-of-use of voice controlled tech and helping them to feel comfortable and happy using it.

Test chatbots properly, to boost business

So that’s a brief overview of the key technologies and the commonly-used acronyms behind chatbots. Yet the key thing you need to know if this: when implemented correctly, chatbots are a demonstrably fantastic way to increase engagement with your customers.

So, what’s the secret of rolling out chatbots in a way that resonates well with your customers and doesn’t risk you losing sales?

As with any new technology, rigorously test it out internally before you let your customers start to use it. This is particularly critical with chatbot applications, as the bot will start to learn from your team, which helps to ensure that it knows how to deal with a wide range of the most common customer questions, complaints and enquiries.

Thorough testing will ensure your chatbots work as efficiently as possible, giving the correct information to customers as rapidly as they demand it.

All of which means that you will gain a clear competitive advantage, future-proofing your business by improving the customer experience whilst also delivering operational excellence.

Connecting you to your customers 24/7

Businesses in all verticals, particularly finance, retail and logistics, and businesses of all sizes – from small start-ups through to global enterprise – need to be investing in the latest chatbot technologies in 2018 to stay ahead of the curve.

And in today’s market, enhancing the customer experience is all about providing a high quality ‘always on’ service to deliver the information that they need, on demand, 24/7.

Whenever we think about new technology we certainly are not exactly comfortable with it. We view and look at it with suspicion and believe that status quo is the best. One such technology which is taking the world now by storm is known as artificial intelligence or AI. Hence it would be interesting to know more about it over the next few lines. It is now being selectively used and it will not be long before it is used in other areas. It certainly will make a big difference to any small, medium or big business and help to move it from one level of success to another.

Why

(Source: www.websitesthatsell.com.au)

By Rob Brown, Associate Vice President at Cognizant’s Centre for the Future of Work

Chatbots are gaining in popularity in a number of industries as an important customer service tool, with financial services and insurance particularly keen to roll them out: Crédit Agricole Assurance has Marc, and Bank of America recently announced it was introducing Erica. Barclays, Société Générale, USAA, BBVA, and Capital One have all also begun investigating the technology.

The rise of chatbots is being driven by several converging trends: the popularity of messaging apps, the explosion of the app ecosystem, advancements in artificial intelligence (AI) and cognitive technologies, conversational user interfaces and a wider reach of automation. Their adoption is accelerating so quickly that Oracle believes that 80% of brands will be using them by 2020. But will the current hype be sustainable over time without a stronger business rationale and better short-term results?

We live in an age of instant gratification, and this certainly applies to exchange of information – the core mission of financial services.  So why are customers confronted with long wait-times on hold, being transferred department-to-department, or having to wait through a list of phone prompts? In the context of chatbots, it is actually not about “the robot” at all, it is all about how easy the end-user finds it to use, and simply whether it works or not. To get it right, businesses should start preparing for the coming bot age now if they have not begun to already. This means peeking into the future and designing bots to respond to today’s customer needs, such as personalisation, context, meaning, first contact resolution, management, as well as bot-human interaction and interface design.

Here are four areas chatbots will evolve.

  1. Specialisation and Personalisation
    For chatbots to be effective, they need to become far more specialised in topics and tasks, and have the ability to personalise interactions. As time goes by, we will begin to see this happen. Very soon we will see expert chatbots that specialise in providing information about different banking solutions, while there will be some like x.ai’s Amy, Apple’s Siri or Microsoft’s Cortana that are experts in making calls and scheduling meetings, or helping to orchestrate process steps. For example, your close of escrow got delayed due to unforeseen disclosures from the seller – was the bank notified not to fund the mortgage loan? In-the-moment examples like these will make chatbots more utilitarian and dependable.On the flip side, users will also then need to understand what the chatbots does, specialises in, excels in and – most importantly – where it has limitations. This leads to one of the most crucial design decisions: the history of continuity and personal connection. Consider this element as a “tuning fork” of sorts that brings together and harmonises all interactions a person may have on a given subject.If the user were to stray from a central line of main dialogue, for example, from Siri to Facebook Messenger, a chatbot will need the history and context of other discussions with people, places, and things in order to provide continuity and personal connection. In turn, this will dictate how much personalisation can be brought into the interaction itself. For instance, can the system remember user profiles, previous interactions, the interactions of other users in the system, the current context and the situational bigger picture? Chatbot creators will then need to design them so that they can access this information using a multitude of systems and derive meaning from that information, all while keeping the central “plot line” of context intact.
  2. Speed of ResponseOne of the things that makes most present-day browsers so useful is their ability to answer questions at almost the speed of the user’s thoughts – sometimes faster. The experience of a good chatbot interaction is not judged only on its capacity to answer a question correctly but also the speed at which such a response is provided. In the bot world, solving a problem after a first contact with a customer will become a key performance metric.Chatbots that can provide basic solutions in the first instance without the need to paraphrase or explain the problem in greater detail will be the most useful and, by extension, the most popular.
  3. “Superbots” – Your Personal Assistant
    The concept of a superbot is not yet well known but will be a significant element in the future of bots. Indeed, as bots become more specialised and popular, they will proliferate. For many companies, managing them could become as overwhelming and complex as managing apps is today. The solution could come in the form of a superbot.A superbot, or “bot of bots,” would act as a personal assistant, getting things done on behalf of the user. That would mean calling other bots to complete tasks such as scheduling meetings, dialing conference call numbers or redirecting the customer to the appropriate page to make a claim. The superbot would know which bot to call for a particular task and instruct that bot to provide feedback to the user, therefore being faster and more efficient. Some platforms already use “global managers”, automated robots that orchestrate workflow, and delegate which process transactions should be worked on by myriad other robots.
  4. Humanising Chatbots
    Many of us will have seen an example of a gimmicky, humanoid “greeter robot” deployed in your high-street bank branch but the chances are, it fell short on actual needs-based problem solving for the customer. Chatbots, to the rescue – customers actually want solutions to process common choke-points in the gaps between information flows. Most of today’s technology exploration focuses on enhancing features and improving functionality to enable chatbots to mimic human responses, engaging in a more natural, intelligent conversation with users. Despite the merits of this work, the continued success of chatbots will not wholly depend on their ability to conduct a natural conversation but on the accuracy of their responses to customers’ questions at the moment-of-truth: when the tax bill is due, when the overdraft charge kicks in or when the mortgage documents are being finalised.Humans can sense when they are interacting with a machine, and any attempt to make it appear more human rather than intelligent may end up triggering negative emotional responses in humans— this phenomenon has been called “the uncanny valley” by a Japanese roboticist in the 70s. That is why some novelties robots are merely a distracting detour on the road to real breakthroughs in applying automation that matters to the financial services sector for real and lasting results.

Chatbots will be the vanguard of these efforts, and success will hinge upon their ability to become useful, maybe even indispensable, to human beings. Automation has its limits — and there are some things that robots just cannot do. That is where a blended model of automation augmenting people in their daily lives, conversations, and information requirements can provide extraordinary outcomes. By connecting conversations with meaning, context and intelligence, and providing people with relevant information in real-time and after absences, chatbots will provide as higher quality service and outcomes.

For companies in financial services, in addition to other industries, it requires striking a balance between speed, specialisation, and personalisation provided by chatbots and the ability to cater to human sensibilities and expectations. After all, the main goal is to support users and to make their lives easier.

 

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