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BEYOND PSD2: BEING PROACTIVE IN THE AGE OF OPEN BANKING

Reza Rahmani Fard, Head of Payments Marketing at FIME

Open banking isn’t just a European pursuit. For those under PSD2 – the European regulation mandating banks to open-up their back-end to third-parties – the urgency to deliver these services is clear. But players further afield shouldn’t avoid joining the trend or championing the real objective of PSD2 in their strategy – facilitating more valuable and engaging consumer experiences.

Consumer demands are only set to get higher, meaningthe need to deliver more valuable services, strong customer authentication (SCA) and open-access APIs will soon become ubiquitous – even if not legally mandated.

From the Middle East to North America, many banks have already begun their open banking and digital transformation projects in a bid to get ahead. But such transformation projects entail significant technical complexities and strategic challenges. Banks need to be smart to remain competitive – so how can they best prepare for success?

Promoting proactivity

Delivering open-access accounts and new digital services will be heavily applauded by consumers. And the rewards are high for moving quickly, engaging new and existing customers. But agility must be balanced with trust.

Defining a comprehensive and effective testing roadmap can ensure trust is built-in to new open API initiatives from the start. Effective planning also minimizes unexpected delays to service launch, ensuring a quality, fully functional and interoperable service is launched on time and on budget.

For those facing regulatory pressures, consultancy can be invaluable in understanding these legal constraints and compliance hurdles without huge internal investment. Not to mention advising how to best monetize these new APIs – balancing initial investment costs with the pressure to generate short-term revenues.

Flying solo or working together?

There are different approaches to open API development. Resource can be invested internally to develop a new tailored API, or a number of API standards and external ‘hubs’ can be reviewed. These initiatives have proved popular in recent years, pooling resources and streamlining the launch of open APIs.

One example in France is STET’s definition of an open banking API standard. Developed with support from FIME, the protocols enable banks and application developers to ensure regulatory compliance, security and seamless interoperability – all at a considerably lower cost and greater efficiency.

FIME has actively engaged in payments industry standardization efforts for over twenty years and is now helping banks and payment stakeholders effectively evaluate the different initiatives across the globe.

Embracing innovation

Driven by Fintech innovation and rising consumer demands – we are in an era of pure digital transformation. From branchless banks to mobile-native services and cross-platform integration, banks need to create more flexible business models to remain competitive.

When evaluating new payment platforms and form factors however, it’s important for banks to consider whether investing to compete is more valuable than collaboration with – or even acquisition of – new players.

With rising demand for stronger customer multi-authentication methods too, issuers also need to review new technologies and protocols such as biometrics, risk-based and EMV® 3D-Secure. Prioritization is key to remaining flexible, responsive and competitive.

Implementing change

Trust, efficiency and agility are needed to compete in this rapidly changing and exciting market. But as with any digital transformation, the benefits of early-mover advantage also come with high complexities, both technically and strategically.

Partnering with leading experts can help take the strain of understanding how best to take advantage of open banking and maximize ROI. Plus, with so many new, sensitive and technical complexities to consider, a testing expert working at the centre of innovation can be considerably more cost-effective and agile than trying to source in-house expertise.

FIME is supporting both banks and third-party providers (TPPs) globally to define, design, deploy and validate their open API strategy and digital transformation projects. Learn more about our open banking services here.

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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.

 

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Banking

WHY BANKS NEED TO EMBRACE OPEN SOURCE COMMUNITIES

Nikolai Stankau, Director Business Development, EMEA Financial Services at Red Hat, the world’s largest enterprise open source solutions provider.

 

Banks and financial services have long been benefiting from using open source software, which is code that is developed in a decentralised and collaborative way. Open source software is cost-effective, flexible, is developed rapidly, and tends to have more longevity than its proprietary peers because it is developed by communities rather than a single author or company.  According to Red Hat’s own research, 93% of IT leaders in financial services state that enterprise open source is important to their organisation.

Alongside adopting open source products, which many banks already do, there’s opportunity for these organisations to have a greater influence in the development of industry software, by engaging in ‘upstream’ open source community projects.

 

The advantages of engaging in upstream communities

In open source projects, code is developed as a shared process by a community of thinkers and developers anywhere in the world. Collaborating directly with these communities – what’s known as ‘upstream’ participation – can give banks a major competitive advantage on their journey to innovate. From there, software can either be downloaded at no cost, or consumed via a trusted open source vendor that secures and stabilises the software to make it suitable for an enterprise to use. This is also known as the ‘downstream’.

A company that contributes its developers’ time and resources to an open source community gets rewarded with the output of hundreds of developers working on the same code. This leads to a magnification effect, by virtue of the fact you’re expanding your team many times over while also benefiting from a much more diverse pool of talent. The result is that organisations can be captains of the product development process and work together with the community to design features and functionalities that meet their needs and keep up with customer demands.

An added benefit for banks engaging in these communities is it provides a great access point for sourcing new talent, as well as helping to retain existing talent. Developers are attracted to organisations that engage in upstream development because it allows them to be at the forefront of open source innovation and new community-led initiatives.

It’s common for multiple organisations in the industry to come together and collaborate on a project, which can drive significant benefits for the community as a whole. A good example is Fintech Open Source Foundation (FINOS), which is a community set up by banks to promote industry collaboration, by delivering software that addresses common industry challenges and drives faster innovation. The concept had its origins in Symphony, a open sourced messaging and collaboration tool that was adapted and improved upon by developers from other banks, ultimately helping the company to become a major business valued at around $1.4bn.

 

Where to join forces versus compete

Although the benefits of engaging in upstream communities are manifold, some organisations have concerns around intellectual property as well as the productivity of developers contributing to open source projects rather than exclusively working on the bank’s own proprietary software. To this latter point – in reality, the development of new solutions and features built inhouse often requires many months, whereas product ideas shared in a community setting can be executed in much shorter time frames. As the saying goes, many hands make light work.

Regarding the essential consideration of IP and competitiveness: a lot of where banks can differentiate is at the application layer; in the services they develop and offer, rather than at the underlying operating system or middleware foundations – these tend to be common and standard, and are what empowers organizations to get to market as fast as possible. Thus the greatest opportunity for banks lies in platforms such as Linux-based Kubernetes, which is now the industry standard for container orchestration and one of the most important technologies used in the financial services industry. Kubernetes attracts many contributors from diverse organisations all over the world.

Some IT leaders also recognise structural roadblocks: transitioning an organisation to new ways of thinking and operating is a process that isn’t achieved overnight. Not all banks have the legal or tech mechanisms in place to be able to share their code externally, and company policies can prevent their employees from engaging in open source communities. In a heavily regulated industry, it takes time for some organisations to create the necessary changes before they can harness the potential of upstream communities.

 

The future is open

As the software ecosystem expands, and in the face of accelerated digital transformation driven by the ‘new normal’ of the COVID-19 pandemic, banks and financial services have the opportunity to evaluate how they can get involved in open source. There are many ways to do this: they can invest financially in communities, provide technical leadership and resources, or contribute code. With organisations under more pressure than ever to gain a competitive advantage, playing a role in open source communities will help them create better products, speed up time to market and position themselves at the forefront of financial innovation.

 

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