Banking

HOW BANKING IS USING AI TO PROCESS CUSTOMER FEEDBACK

By Dan Somers, CEO of Warwick Analytics

More banks are turning to practical AI to rapidly analyse customer conversations for sentiment and emotional intent to get the insight and automation they need to transform their customer service and operations.

Here we look at 5 ways in which banks are using AI to process their customer feedback more effectively:

Processing incoming queries more efficiently

AI can remove the need for manual review of each incoming query and enables banks to handle them effectively from the outset.

The analytics can facilitate a much smoother omni-channel experience for the customer by: identifying which channels your customers are best suited to – and which work best for specific types of interaction; understanding the causes of channel failure and what drives customers to switch; and reducing customer effort by delivering service in the customer’s preferred channel first-time.

As a recent example, at one bank we were able to reduce the maximum time to respond to a customer from 3 weeks to 5 days. The solution used AI and machine learning to automatically analyse and prioritise all customer emails in near real time and routed high-priority cases to a dedicated work queue for fast action.

Automatically identifying customer intent and emotion

When different people are voicing different issues, they will use different words and sentiments. Vital data is often missed with traditional models and manual processes. For example a customer at a bank might say ‘by the time they called back, the bank was closed’. The keyword would be flagged as ‘closed’, when in fact the main issue was the call back. There are also other limitations with using just keywords such as sarcasm, context, comparatives and local dialect/slang. The alternative is to analyse text data using ‘concepts’ instead of ‘keywords’. This can be done effectively with AI.

Fast tracking customer complaints and issues

With AI you can send complaints straight to the relevant team for a faster resolution. We’ve helped banks reduce resolution time by up to 3 days which really boosts customer retention.

Dealing with specific complaints manually involves using more and more case handlers. Routing complaints automatically and prioritising by issue and category is also difficult due to the nature of complaints i.e. unsolicited, long and sometimes multi-topical. As a result, manual classification is often impossible within an acceptable time frame for the unhappy customer.

Using the latest AI however, banks are now automatically classifying unstructured data to provide an early warning of issues that need resolving fastest. This can lead to better and quicker outcomes at a much lower cost.

Spotting vulnerable customers early

Under the Financial Conduct Authority (FCA) front-line staff need to be able to spot different types of vulnerability in customers and support them accordingly. However, the volume of communication is just too much to carry this out manually.

The latest in AI speech transcription and text analytics is able to automatically detect hints at vulnerability from conversations with customers. The conversations are automatically analysed by to detect emotionally-driven comments that indicate vulnerability such as a basic lack of understanding, likelihood of a disability and circumstances. These vulnerabilities are flagged to the relevant members of staff for action. Regulated firms can also accurately understand the drivers behind the vulnerabilities so products, services and communications can be reviewed accordingly.

Banks using AI during Co-vid 19

During Co-vid 19 many banks have customer service agents working from home and/or in strict shifts. There has been a move from voice to webchat for many to cope with these changes which brings its own challenges and opportunities. Post-C19, many of these situations are expected to stay in place or at least not revert 100% back.

AI is helping to serve customers better focusing on taking cost out whilst keeping CSat up and channel switching down by improving chat optimisation, email, complaint handling and chatbot supervision.

Case study: Improving customer loyalty

A major UK bank was looking to improve its customer loyalty. It was already using the latest

analytical tools including social listening, sentiment analysis and a large data science team

but they were experiencing limitations and not making enough progress. They were also interested to see what online feedback their main competitors were receiving.

A number of key recommendations for the bank were identified using AI analysis:

A 10% increase in CSat (c. £200m pa revenue) from operational improvement
Comparable best-in-class churn e.g. Nationwide is 25% lower
Online and mobile banking is a key issue, and is causing direct churn
Drivers of churn are mostly customer service, branch closures, marketing offers, interest rates and vulnerability issues
Early warning can help predict churn tactically and intercept likely churners
28% of Tweets and potentially all non-voice queries can be automated. This could be a £20m pa saving
Business banking, current accounts and ancillary services have the highest churn, and insurance the highest negative advocacy
Mortgages, current accounts, savings and overdrafts cause the most attritional set-up
There are distinct patterns and opportunities to adjust customer services resources to reduce churn and costs

With AI, this level of insight can be set up in a matter of days, delivered in near real time and without the need for a data scientist to maintain the model.

Banking

SEIZING THE OPEN BANKING OPPORTUNITY

Nick Maynard is a Lead Analyst at Juniper Research

Open Banking has made significant progress in 2020, having recently launched across much of Europe and now starting to emerge in other markets too. And there are two primary reasons why Open Banking is disrupting the banking industry so much:

Banks have begun to discover the real competitive advantage of a more open approach to banking. Offering a superior Open Banking experience to customers can be a compelling differentiator from other competitors as part of a wider digital app experience. Open Banking also creates a level playing field in markets where regulatory intervention has led to Open Banking deployment. As all banks are required to deploy APIs in this scenario, the situation is the same and does not put any one particular bank at a disadvantage.
Legislation – for example, in October 2015, the European Parliament adopted PSD2 (the revised Payment Services Directive). By early 2020, major banks in the EU had adopted Open APIs. There have however been many cases of late deployments of APIs and problems with the availability of APIs.

Nick Maynard

The Disruption Factor

Open Banking is a major disruptive factor for banks. The reason for this being that it opens up account data to both AISPs (Account Information Service Providers) and PISPs (Payment Initiation Service Providers), which can attempt to carve out a role in the banking area.

AISPs: These new vendors are able to access transaction data and balance information, as well as related information. This has, in particular, led to the rise of vendors such as Emma, Yolt and Connected Money. These vendors combine information from multiple sources, adding value to the user.
PISPs: In this case, the vendors are able to leverage Open Banking API connections to initiate payments directly from the bank accounts in question. This means that these players are able to bypass traditional payment methods, such as cards. Vendors such as American Express and PayPal have already launched solutions that have taken full advantage of this action.

PSD2 Changes

Generally, the implementation of the new PSD2 European regulation for electronic payment services effectively reduces the entry barriers for new digital players. It also opens up banks to the potential for competition, enabled by their own APIs. This allows these players to compete with existing services in fields currently offered by the banks. In the case of AISPs, it is possible that third-party applications could displace the role of the apps from incumbent players, which would dilute the bank’s relationship with their users.

As with any fundamental change to markets in the banking area, there is the potential to bring a number of both opportunities and challenges to consider with Open Banking.

Open Banking Opportunities & Challenges to Consider

Source: Juniper Research

Banks and other parties that are looking to become involved in the Open Banking ecosystem must weigh these opportunities and challenges carefully. Open Banking certainly needs a more collaborative approach than traditional banking models, which will require significant effort to make them successful.

The Forecast for Open Banking

The total number of Open Banking users is set to double between 2019 and 2021, reaching 40 million in 2021 from 18 million in 2019. The ongoing Coronavirus pandemic is increasing the need for consumers to have the clarity of combining their accounts and gaining insight on their financial health, and also boosting momentum in the adoption of Open Banking.

This extraordinary growth is being driven by Europe, where the regulator-led approach to Open Banking has created a standardised market, with low barriers to entry. This contrasts with markets like the US, where a lack of central regulatory intervention is limiting growth potential.

Open Banking – Delivering Opportunities and Threats

It is worth noting that Open Banking can be both a threat and an opportunity for traditional banks. While Open Banking exposes user information and access to potential competitors, this threat has the potential to affect all players in the market equally. Consequently, established banks must create innovative Open Banking services that will provide benefits for the user, while also attracting customers from less innovative competitors.

Payments will be critical to the emerging Open Banking ecosystem; accounting for over $9 billion in transaction value in 2024. However, payments in this ecosystem are at a particularly early stage. While eCommerce is dominated by card networks, there is the potential that this role will be eroded over time by ‘direct from account’ payments. Consequently, card networks should look to offer Open Banking-enabled payment services, in order to offset the risk of future disruption.

Open Banking Users in 2021 (m), Split by 8 Key Regions: 40 Million

Source: Juniper Research

Banking

2021: THE NEW-NORMAL LIFECYCLE FOR BANKING

Laura Crozier, Global Director of Industry Solutions, Financial Services at Software AG

It would be impossible to talk about predictions for the banking industry in 2021 without mentioning the cataclysmic impact that 2020 and the pandemic has had on people, businesses and countries.

Unlike with the global financial crisis, banks have been able to step up as “good guys” this time around, rebuilding their reputations as well as accelerating digital transformation. One of the main outcomes is increasingly smart, efficient online payments.

In 2020, the banking industry innovated like never before. This is the new normal. Overall, customers and society will be the beneficiaries from the changing industry. Here are my predictions:

Reputations are reborn

Banks across the globe pulled out the stops to integrate and adapt systems and processes to help customers during the pandemic. They offered accommodations in loans, assisted governments with the distribution of financial relief, and supported consumers by upping contactless spending limits and virtual deposits.

In 2021, banks will risk losing that rosy glow as economic circumstances drive them to deal with non-performing loans, mortgage foreclosures, layoffs etc. But, beyond their role in society as providers of capital and liquidity, banks will invest to sustain their reputations as trusted and good corporate citizens and use their power to persuade their customers and providers to adopt higher environmental and ethical standards. This will be in the areas of bank carbon-neutrality, sustainable financing, serving the unbanked, diversity and gender equality (as the number of women running a major global bank will double from one (Jane Fraser at Citi) to two). It’s a start.

Coming of age in the way of working

Back in Q1, when bank employees cranked up their laptops on their dining room tables, banks that were strategically undertaking business transformation accelerated their efforts. Those that were tactical, or on the fence, now understand with painful clarity that this work must be undertaken strategically.

Cracks in process and the way of working and their resulting risks can be crippling. Especially from a back-office perspective, it is not enough to rely on “organisational memory” and collegial proximity for work to get done right. Advanced banks pushed the boundaries of remote work, and the proof of concept was successful. So, they’re doubling down on developing digital twins and moving to the cloud. They’re adopting the hybrid office/WFH approach to reduce health risks and reduce cost permanently. The watercooler will never be the same.

The death of cash

Ok, maybe the rumours of the death of cash are a bit exaggerated since there will always be the need for cash (and, to some extent checks; the USA, for example, cannot seem to live without them). But the pandemic has permanently changed the way that consumers and small businesses bank, and the demotion of cash has been accelerated by a decade by the pandemic. For example, the Norwegian central bank said that cash payments in that country have plummeted to just 4% of transactions since March.

Implications? It will be critical to continue evolving payments to be smart, safe and flexible to compete in new world, in both retail and commercial banking. Also, the permanent change in the mix of channels will see banks’ face-to-face engagement with customers fade. Branches aren’t going to go away entirely, but they will be reserved for high value activities – by appointment only. To compensate, the personal touch has to be delivered digitally and intelligently.

The role of the bank as a “financial wellness partner” is being born. Banks will use customers’ data, not just to personalise and differentiate banking experiences, but to make recommendations for products and services beyond traditional banking from across their ecosystem to serve their customers well. Just as customers own their cash (physical or digital), in the future they will demand that they own their data (and can share it with whom they choose). Then retail and commercial clients will share their data in return for value.