AI on the brink of revolutionising Banking and Insurance of the future

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(Authored by Snehal Desai, Global Sales Head – Insurance, 3i
Infotech)_

New Delhi, May 21, 2018: Mankind’s quest for Artifical Intelligence (AI) has driven development from times immemorial. It dates back to the architectural astronomy
instruments in India to Abacus of Mesopotamia; from mechanical
triggering of medieval cannons in China to the emergence of the big
World Wide Web; and finally to the 21st century when Internet of Things
(IoT), Blockchain, Robotics and AI are finally a reality. It’s a
marvel to construe that machines of today can actually learn, improve
over a period of time with an in-built self learning capability.

AI not only refers to a specific software algorithm but a broad
spectrum of capabilities of machines that have cognitive functions,
which include speech recognition, machine translation, file reading from
a machine, fraud detection prediction, learning and predicting trends
and natural language processing.  A recent report suggests that globally
over $1 trillion of today’s financial services cost structure could be
replaced by machine learning and AI.

Financial institutions worldwide have always been at the forefront of
adopting new technology. Closer home, in India, recent reports published
by Accenture suggest that around 83% of Indian bankers believe that AI
will work alongside humans in the next two years, which is higher than
the global average of 79%.

Lets delve deeper into how AI in set to transform Banking and Insurance
of the future. Focus on the how AI would be integrated into BFSI, the
many benefits and use-cases to substantiate how the ecosystem would
evolve.

CUSTOMER SERVICE CHATBOTS

Smart virtual agents or chabots elevate the customer experience to a
new level by providing real time round the clock service with natural
language to perform day to day transation.They anticipate customers
unique transaction needs and recommend the right insurance policy or
right portfolio for investment in fraction of a second, with quick
ability to deep dive into the data models. This gives customer
personalised services experience and increased customer satisfaction.

CUSTOMER & BUSINESS AUDIO BOTS

A case in point, is a customer greeted by EVA from Emirates NBD
(leading bank in UAE), a audio bot. This is a new face of banking where
audio bots are taking over in a quick and efficient way to provide
information. Bots can run query much faster and provide results to the
customer objectively, without any  emotions attached to it. There is a
growing demand for audio bots within businesses. In a typical scenario,
a CEO can be remotely assisted by an audio bot to provide him sales
performance data of a branch or a zone, provide instant details about
top perfomers, top claims paid or on business forecast for the year.

Virtual assistants can manage the low-value activities of advisors,
such as lead management, scheduling, planning, licensing, etc., enabling
them to focus on building skills and providing value-added services.

Companies have transformed from conventional password and I pin methods
to voice recognition with the help of voice prints to automate the
process. Face recognition to ascertain account credentials are becoming
a norm.

CUSTOMER INSIGHTS AND RISK MANAGEMENT

Risk management is one of the largest opportunity for leveraging the
full potential of AI. Using AI in Banking it is possible to sieve
through different data sources such as credit scores, financial data,
spending patterns help to determine risk scores of a customer, based on
his or her nationality, occupation, salary range, experience, industry
and credit history. Moreover, AI can be used to reduce the strain of
regulatory compliance and to overhaul the way banks/insurers detect
financal crimes and frauds.

Similarly in Insurance, risk scores can be very helpful in underwriting
policy and adjudicating claims for a individual on basis of various
parameters. It could be based on data models during the onboarding of a
customer, agent or a claim risk propensity can be calculated and early
warning signals can be triggered.

AI systems can be used to perform research, aggregate, refine and
present required information to underwriters, allowing them to focus on
core underwriting activities.

IN SUMMARY, THE BENEFITS OF AI –

Enhance operational efficiency, improve time-to-market, enable a more
intelligent way to sell and service, and more. During the last five
years, industrial use of AI – in terms of interest, investment,
ideation and implementation – has risen exponentially.

The proof of the pudding is in the eating. This can be validated
through how a leading health insurance startup leveraged AI by using
data and software to build clinical profiles of people to identify gaps
in care. These gaps in care were filled with visits and free choice of
doctors for patients to avoid costly hospital stays. Similarly, a life
insurance startup used AI to generate quotes for accident death claims
which simplified sign-up in less than 2 minutes. There are several such
instances that fortify AI as a technology that would revolutionise
businesses and the world at large.

Coreporate Comm India(CCI newswire)