Insurance and Robotic Process Automation (RPA) Robotic_Process_Automation_RPA_in_Insurance__UiPat | Page 8

performed claims management
validation through a manual, time-
consuming, error-prone process. The
company needed to overcome the
high-defect rates, backlogs and high
turnaround time involved in the
process.
Solution
Seven UiPath robots were designed
and bundled to support the claims
value chain, automating 35-40% of
the process. Productivity increased by
68%, accuracy levels were enhanced
by 95% and the overall compliance
with regulatory requirements was
improved.
Non-recommended hire adjudication
Challenge
The Claims' unit of a large auto
insurer dealt with a process consisting
of operating in an offshore
environment, which required Citrix
based automation. The purpose was
to evaluate whether the claims should
be extended, taken off hire or closed,
and identify whether there are any
potential customer complaints.
Solution
The process was auto-triggered when
the claim approached the deadline.
The validation was undertaken using
the claim application, the invoices of
rental companies & the hire allocation
spreadsheets. The robots brought
over 65% improvement in average
handling time, 50% improvement in
productivity, standardizing and
replicating the process across 44
global claims centers in the client’s
organization.
Insurance in the age of intelligent automation - 8
Vendor payments by property
insurers were also automated
delivering a productivity improved by
70%, reduced processing times and
converted service levels to 24/7
operations.
WHERE DO WE GO FROM HERE?
Despite the fact that RPA has only
started to gain adopters, thinking
ahead is at the top of everyone’s
concerns, both solutions vendors,
partners, and insurers. Though many
are already invested in advanced
cognitive and AI tools, they must be
integrated alongside the RPA
solutions previously chosen for
maximum efficiency. The UiPath
Platform is at a point in which it has
integrated cognitive services from
Google, Microsoft, IBM Watson and
ABBYY to keep up with the AI
developments already occurring.
This is intelligent automation,
delivering: language detection, the
extraction of unstructured data, and
sentiment analysis.
Our robots analyze language
meaning, intent, and emotion and use
it for complex decision-making. Think
about handling irregular paper
invoices or interpreting content and
applying rules, as in the case of
unhappy social media posts.
UiPath evolves as a modular platform
that is flexible enough to integrate
multiple AI capabilities. The next
releases will bring the Platform a step
closer to achieving full Intelligent
Process Automation with self-learning
exception handling and self-
generating RPAs through passive
learning.