Poor Claims Experiences Could Put Up to $170B of Global Insurance Premiums at Risk by 2027, According to New Accenture Research
03 August 2022 - 06:01AM
Business Wire
Artificial intelligence technologies such as
machine learning and data analytics could transform the claims
value chain and improve customer outcomes
Up to $170 billion of insurance premiums could be at risk in the
next five years due to poor claims experiences, with process
inefficiencies in underwriting potentially costing the industry
another $160 billion over the same period, according to a new
report from Accenture (NYSE: ACN).
The report, “Why AI in Insurance Claims and Underwriting?”, is
based on surveys of more than 6,700 policyholders across 25
countries; more than 120 claims executives in 12 countries; and
more than 900 US-based underwriters. It explores how the insurance
industry is responding to the latest market dynamics, pressure from
new competitors, challenges facing underwriters, and the growing
demand for seamless customer experiences — as well as how
artificial intelligence (AI) technologies can be applied to satisfy
and retain customers and transform the underwriting function.
The report found that one-third (31%) of the claimants were not
fully satisfied with their home and auto insurance claims-handling
experiences over the past two years. Of this 31%, six in 10 (60%)
cited settlement speed issues and 45% cited issues with the closing
process.
Dissatisfaction around the claims experience is a key reason
driving customers to switch insurers. Nearly one-third (30%) of
dissatisfied claimants said they had switched carriers in the past
two years, and another 47% said they were considering doing so.
Overall, the consumers who reported not being fully satisfied could
represent up to $34 billion in premiums annually, or up to $170
billion over the next five years.
The report states that AI technologies could improve the claims
process. For instance, four in five (79%) of the claims executives
surveyed said they believe that automation, AI and data analytics
based on machine learning can bring value across the entire claims
value chain — from flagging fraudulent claims, to damage assessment
and loss estimation, reserving, adjusting, processing optimization,
and subrogation. However, the adoption of these technologies has
been slow to date, with only about one-third (35%) of claims
executives reporting that their organizations are advanced in their
use of these technologies. This could change, though, as nearly
two-thirds (65%) of insurance companies plan to invest $10 million
or more in these technologies over the next three years,
prioritizing AI-based applications and automation technologies,
according to the claims executives surveyed.
The report also found that insurers could reduce underwriting
operating costs through the adoption of AI technologies, making up
to $160 billion in efficiency gains by 2027. As underwriters
currently grapple with ageing systems and inefficient processes,
the research found that up to 40% of their time is spent on
non-core and administrative activities — an annual efficiency loss
of between $17 billion and $32 billion. More than half (60%) of the
underwriters surveyed believe that improvements could be made to
the quality of their organizations’ processes and tools.
“AI is no longer a technology of the future, but an established
capability that many insurance innovators are already putting to
work to deliver better customer experiences and empower their
workforce,” said Kenneth Saldanha, who leads Accenture’s Insurance
industry group globally. “As humans and AI collaborate ever more
closely in insurance, companies will be able to reshape how they
operate, becoming more efficient, fluid and adaptive. Those that
are already moving to leverage AI will be able to create sustained
competitive advantage.”
Read the full report, “Why AI in Insurance Claims and
Underwriting?” to understand how to drive AI at scale in
insurance.
Methodology The report is based on four surveys across
insurance claims and underwriting, analyzing both customer and
employee experiences and how insurers are responding:
- A survey of 6,754 insurance policyholders in 25 countries on
their most recent experiences in filing auto and property insurance
claims;
- A survey of 128 insurance claims executives in 12 countries
regarding the strategies of their claims organizations;
- A survey of 434 US-based property and casualty insurance
underwriters, conducted in conjunction with The Institutes, a
provider of insurance education; and
- A survey of 500 US-based life insurance underwriters regarding
technology adoption.
To arrive at the $170 billion premiums-at-risk figure, Accenture
used modelling in conjunction with survey data of 6,700 insurance
claimants, analyzing the global personal auto and property
insurance market to calculate the yearly premium volume and the
percentage of people who make a claim annually. This was used in
conjunction with the consumer survey data pertaining to the
percentage of people who reported that they were not fully
satisfied with their claims experience and those who said they
have, as a result of their dissatisfaction, changed carriers or
will do so over the next five years. Accenture used a similar
approach to calculate the $160 billion efficiency gains in
underwriting figure — taking into account personal, commercial and
life yearly premium volumes and costs spent on underwriting
employees to determine an underwriting expense ratio. Efficiency
gains were calculated to be 0.5-1 percentage points of the expense
ratio, representing between $9 billion and $15 billion globally per
year.
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Victoria Ancell Accenture +44 7446 27759
v.ancell@accenture.com
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