With a fast-paced world becoming
a global village where customer-interaction personalised and a
click-away, technology is, no doubt, playing a key impactful role in
redefining the operations of finance and banking sector, including the
consumer experience. Artificial Intelligence is the new buzzword and
trending focus across the financial world. Can Nigeria’s finance
services industry benefit from the application of Artificial
Intelligence without major collateral damge? asks Adedayo Adejobi
Today, it is easy to get carried away by
the buzzword of artificial intelligence, especially with huge noise
made about it. But, in its current form, its application is helping
improve and transform industries across developed countries, especially
in the financial services sector. The big question amongst the third
world countries is, how would artificial intelligence assist the
financial services industry in Nigeria? If Nigeria gets it right, the
likelihood that Africa would speedily join the bandwagon is high.
Every fintech application or new piece
of banking software is presently accompanied by bold claims about its
use of AI, even though in many cases, they are simply upgraded
algorithms. In truth, such advanced filtering applications are already
available. They are just one of the AI-driven applications that are
going to transform the way customers view financial organisations,
especially in the retail banking and lending sector.
General purpose technology is a term
economists reserve for technologies that spur protracted economic growth
and societal advancements, revolutionising the operations of households
and corporations alike.
According to a recent Harvard Business
Review study, artificial intelligence (AI) is designated as the most
important general purpose technology of this era. With increased
familiarity with the power of Artificial Intelligence, it manifests in
the form of a robot defeating a world-renowned chess player, a car that
can parallel-park itself devices that respond with tomorrow’s weather
when we ask. But much of man’s contact with—and understanding of—AI
revolves around products that affect the consumer’s every day.
At the various levels in Nigeria’s
financial services sector, there’s a larger question around how AI will
disrupt industries, and specifically, how financial services will
harness AI.
What could be timelier in Nigeria is
when the financial service providers and relevant authorities open up
banking revolution by placing greater requirements on banks to use
technology for more effective engagement with customers, without having
to down tool a chunk of its workforce. It all adds to the competitive
pressures on banks and fintech companies.
How will AI change banking?
As they slog it out in this intense
atmosphere, financial organisations will quickly find they must embrace
AI, given the range of applications now operational, such as chatbots,
virtual assistants or automated personalised review summaries in
developed climes.
A compliance analyst and market research
specialist with Data Pro Limited, Dele Adeoye, said analysts forecasted
that, “more than 85 per cent of customer interactions will be managed
without a human by 2020, whilst he believes that chatbots and other
virtual assistants will become the primary consumer AI applications over
the next five years.”
There is indeed every reason for banks
to deploy solutions like chatbots to engage with customers seeking help
or information, just as online retailer’s applications, for instance
recommends outfits to shoppers based on the style of clothes they
prefer. Banks and insurers know their customers far more intimately than
fashion retailers and with AI to analyse the data, can make highly
relevant recommendations about financial products and services.
Technology professionals allude to the
fact that AI solutions can also head off potential problems before they
develop, learning to detect the ‘distress’ signals and react
accordingly. Experts opine AI is a huge driver of efficiency in
customer-service, facilitating rapid expansion and keeping a cap on
recruitment costs.
Voice-based Assistance
A unique advantage to AI-driven
innovation is the voice-based assistance feature which allows the user
to use banking services through voice commands rather than touching
their mobile phone or any other device.
Greater Insights into Data Analytics
AI can dig deeper and get better
insights into the existing and newer data to look for trends and
patterns leading to the delivery of a better service to a customer. With
ever increasing data, AI can efficiently examine raw data to excavate
important information.
The Future
Artificial intelligence in finance is
able to continuously learn and re-learn the existing data, patterns
which affect the finance industry, as it provides a great scope for
developing current products and services an opportunity to develop these
existing products in the portfolio. Artificial intelligence can
regularly study the market to know what the consumers are looking for
and can provide them with those services before anyone in the market.
Meeting the Demands of New Generations
There certainly is no alternative to
AI-adoption unless a bank or financial institution is determined to lose
out to competitors. It is clear that today’s consumers – especially the
under-35s – will head elsewhere if they are not given fast responses
and quick, effective solutions to their problems.
For marketing reasons, advertisers,
business owners, brand custodians and investors, this generation is
presently engaging with banks and wants to do more with lenders,
insurers and mortgage-providers in more meaningful ways – preferably
using a mobile device.
New generation is a demographic moving
into the mortgage market, gaining higher salaries and having families.
They cannot be ignored and while fees and charges matter, the use of
technology is a major factor in whom they should bank with, especially
when it comes to customer-facing technology that makes interaction
easier and increases personalisation.
Personalisation is essential to winning
customers when a simple mouse-click is all it takes to switch between
competitors. What builds loyalty and increases revenues, is treating
customers as individuals, recognising them each time they interact with a
business so that their specific requirements are always met.
Less Human Intervention
There might no longer be a need for
specific personnel to answer questions about financial services being
offered and how they can help the customer. Now, AI processes data to
solve queries and suggest the best service or solution for an individual
without human intervention. Human opinions are no longer needed to
forecast the demand of financial services.
What might pose a difficulty across the
industry, however, is the banks might be short of the capacity and
expertise to develop AI initiatives. Yet this is not an insuperable
difficulty. Many organisations are already realising that off-the-shelf
solutions with their plug-in-and-play ease of integration will enable
them to meet these challenges immediately.
Fraud Detection
Artificial intelligence can proactively
detect whether fraud is going to take place in a financial system or
not. AI makes it a point to keep all things secure and take steps
towards safety before any chances of fraud can occur. Fraud detection
through AI can help bankers follow the policies and regulations while
providing a financial service to an individual. AI is expanding the
financial products portfolio by continuously understanding the human
psychology.
Compliance Considerations
Speaking on key compliance
considerations relating to the use of AI in the provision of financial
services, Abimbola Adeseyoju, Managing Director, DataPro Limited, ‘‘With
the emergence of AI, financial industry would be devoting increased
amount of money, attention, and time to developing and using AI
approaches. This is a result of several significant factors, including
the increased accessibility of the three key components of AI —
algorithms, processing power, and big data. We are already seeing the
ways in which AI is and will continue to impact the banking sector.
These impacts range from combining expanded consumer data sets with new
algorithms in credit underwriting and insurance pricing, to the use of
chatbots (rather than live operators) to provide assistance and
financial advice to consumers, among others. With AI, compliance and
risk management by banks comes to the fore, as it would boost fraud
detection, capital optimization, and portfolio management.’’
In Nigeria, the use of AI in financial
services is still not in use, and might soon be receiving increased
attention and regulatory scrutiny. Regulators are aware of and paying
attention to the application of AI in the financial services industry.
Local regulators would be faced with the task of first looking to
existing laws, regulations, guidance, and supervisory approaches from
developed climes, especially as they begin to evaluate the appropriate
regulatory and supervisory approach for AI uses.
Besides, most banks will need to resort
to using non-bank vendors in order to take advantage of AI approaches,
including chatbots, anti-money-laundering/know your customer compliance
products, or new credit evaluation tools. Financial institutions could
be adopting the regulators’ risk-based supervisory approach in their use
of different AI approaches.
Speaking on the unique essence and
pivotal role AI would play in the global economy, Femi Jaiyeola, Fellow,
Compliance Institute of Nigeria and the Association of Chief Compliance
Officers of banks in Nigeria, said, ‘‘With the pivotal role of the
Banking and Financial Services Industry in general to the global
economy, one would expect that AI by now, would have dramatically
changed the face of the industry. However, the level of adoption of AI
in the Banking and Financial Service sector has been a bit limited.
This is partly attributable to the
relatively complex regulatory environment and the conservatism that has
been typically associated with the industry over the years.
AI Challenges to Financial Institutions
Like the rest of the financial industry,
regulators are also learning how AI tools can be used in the banking
sector, and should for this reason and more, be open to conversation and
feedback. Technological change and innovation is occurring at a fast
pace. As is commonly said, the laws and regulations (and the regulators
themselves) struggle to keep up with advances in technology, and this
may be especially so for the intersection of fintech and banking.
Balancing stability and innovation is not always an easy task. But
Nigerian regulators, again, should be open to discussion and feedback
concerning the AI approaches and other innovations banks and other
financial services firms are exploring, and how such approaches and
innovations may intersect with existing laws, regulations, guidance,
supervisory approaches, and policy interests.

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