Hyperautomation is one of the most talked about terms these days. It is most likely to remain a hot tech trend in the coming years. Hyperautomation, in its true essence, brings together a few segments of automation instruments and advancements to upgrade the capacity to computerize work, which will be a vital factor in achieving success for companies and organizations in the present and the future.

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Top 8 Hyperautomation Use Cases
across Industries

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What is Hyperautomation?
Hyperautomation is one of the most talked about
terms these days. It is most likely to remain a hot
tech trend in the coming years.
Hyperautomation, in its true essence, brings
together a few segments of automation
instruments and advancements to upgrade the
capacity to computerize work, which will be a vital
factor in achieving success for companies and
organizations in the present and the future

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RPA vs IA vs HA
RPA - Robotic process automation; IA - Intelligent automation; HA - Hyperautomation
RPA
RPA is the use of software bots
to automate huge volumes of
repetitive tasks that do not
require human skills. For
example, payroll processing
Intelligent Automation
IA involves technologies like AI,
BPM, machine learning, natural
language processing, etc. to
execute business processes
without human intervention
Hyperautomation
Organizations use
hyperautomation to
identify and automate
as many business and
IT processes as
possible

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Which industries use Hyperautomation?
1BANKING &
FINANCIAL
SERVICES
2INSURANCE
3MEDICAL &
HEALTHCARE
4RETAIL
5BPO &
CUSTOMER
SERVICE
6MANUFACTURING
7 CONSTRUCTION
8RECRUITMENT
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Hyperautomation in Banking
e-KYC
Here, an intelligent character
recognition solution allows manually
written KYC forms to electronic data in
suitable KYC fields. This is additionally
populated in other related systems
Advanced analytics
Numerous banks have started
using this for screening
applications, and surveying
reimbursement ability of a client
Other sectors
Within banking, hyperautomation can
benefit sectors like - back-office
operations, lending operations,
enterprise support, bank servicing,
regulatory reporting, among others
Smart automation
Powered by AI calculation,
automation systems can
proactively recognize malicious
exercises.
01 03
02 04
Banking industry has an extraordinary potential of fairing well because of hyperautomation. For e.g., AI-based
machine learning model fabricated using advanced modelling techniques can anticipate the likelihood of malicious
exchanges, and hence minimize or eliminate risks.

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Hyperautomation in Insurance
Processing claims
Hyperautomation technologies can collate data from different sources
quickly, validate them and automate the approval process making
processing claims a lot faster and accurate
Advanced analytics
This is used to acquire significant insights from information accumulated
from sensors, wearables, topographical and others
Predictive modelling
Predictive modelling procedures can assist insurance people in calculating
risk factors, and policy premiums for a specific segment of customers
AI and ML
With AI and ML, insurers can anticipate the probability of claims, and handle
various factors for making exact forecasts. With all such information
available at their fingertips at any instant, insurers can offer competitive
prices and policies to a selected segment of clients
Insurtechs had to ensure customers get a seamless, digital experience round the clock. Hyperautomation can
help insurance in several ways.

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04
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01
Advanced analytics can be
utilized to assemble analytics
and simple-to-use dashboards
utilizing real time free flowing
data.
Automation can empower smart billing by
examining bill specifics from every division and
collating them with no manual mediation. This
can save time with quick bill generation and
payments
Digital Avatars or Digital Nurses
talk to patients about their
well-being and symptoms to
appropriately help them with
further diagnosis
Intelligent automation utilizing AI and RPA can
help streamline insurance and claims
organizations in medical clinics.
Computer-based intelligence can recognize
policy inclusion and terms, and a bot can take
up the task of submitting bills
Hyperautomation in Medical & Healthcare
Healthcare industry has been struggling to keep up with the pace of digital transformation and offer enhanced health
outcomes. It spends nearly US$ 2.1 billion annually on error-prone tasks.

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Hyperautomation in Retail
Retail area is going through a sea change with several
businesses taking the online route through e-commerce
platforms.
Hyperautomation can mechanize a few things like order
management, payments, transportation, warehousing and
inventory, supplier management, risk management,
procurement, and data monitoring, among others.
AI-powered cameras could be arranged to inform the staff
when the camera catches a regular customer on the store
premises, allowing the staff to meet and interact with the
client in person.

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Hyperautomation in BPO & Customer Service
This is a crucial service for most product- or service-based organizations or the BPO business
Data recovery from different frameworks and
transferring the information in the order management
system is tedious. With hyperautomation, caller data
can be consistently transferred and handled.
Artificial intelligence can be used in observing call
quality and assisting CSRs with understanding
client assumptions in important calls, for example,
insurance
Artificial intelligence can further help in separating
calls depending on their significance to help cut
down the process duration on client issue goals
Hyperautomation takes mechanization to the next
level. It expands the extent of computerization, to a
level not yet seen. It is not only the automation of
tedious, rule-based and the focus is currently more
on information work

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Hyperautomation in Manufacturing
Predictive maintenance
Automation of predictive maintenance
can be used to gather machinery data
to learn the factors for failures in
machine and schedule maintenance
Remote work
Hyperautomation can significantly
help remote workers in
manufacturing, Manufacturers can
leverage the intelligent workflows to
achieve their goals
Robots
Hyperautomation in manufacturing
complements the human workers. If a part
is produced by automation, human
workers can intervene and monitor the
workflow with real-time analytics
Procurement to Pay
Robotic process automation can
help automate procurement
processes easily

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Hyperautomation in Construction
With increasing awareness of go-green initiatives and safety
workers, the construction industry is quite on top of several
trending technologies, including AR-powered building
information modeling, drone-based monitoring, 3D printing,
connected construction sites, and recent automation.
Construction companies can adopt bots to automate repetitive
administrative tasks; cameras integrated with AI-powered
software enables employers to monitor the equipment and
on-site workers real-time, increasing the safety of construction
workers.
AI virtual assistants integrated with their internal applications
can act as a useful tool to record meetings and pull up the
relevant information in later stages.

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Hyperautomation in Recruitment
Irrespective of the industry, recruiting employees is a Herculean task - beginning from advertising, shortlisting profiles,
screening candidates, scheduling interview rounds, filtering selected candidates, and finally onboarding
Automated email notifications
Automated email notifications to candidates on the status of their applications can
streamline the process and bring in a pleasant experience, creating a positive first
impression
Intelligent screening
AI-enabled intelligent screening software with ML capabilities can segregate
candidate profiles within shorter time frames
Chatbots
Talent acquisition teams can adopt chatbots to schedule interviews, assess
employee skills, evaluate the need for performance training, etc.

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