tapping into the automation potential for the bpo …...white paper modularize. if any changes are...
TRANSCRIPT
Maximizing the Automation
Potential in the BPO
Industry
Abstract
Some degree of tactical automation has been
present in the business process outsourcing (BPO)
industry right from its early days. Most enterprises
had embraced automation early on to increase
overall efficiency and reduce the reliance on
manual processes. However, with cloud computing
gaining prominence with regard to enhancing the
ease and agility to onboard emerging technologies,
the focus is squarely on embracing a
comprehensive approach toward automation—
transitioning from tactical to completely unassisted
automation. In this paper, we present a framework
for businesses to implement automation in a
repeatable and consistent manner. When applied to
the existing set of point solutions, it can deliver
significant measurable benefits.
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The Scenario Today
Typical back-office activities—such as data handling, filling and
validating forms, email generation, creating spreadsheets to
analyse data, processing server logs, monitoring server
performance, raising tickets for incidents, pushing data from
one system to another—are outsourced due to their manual and
repetitive nature. These tasks may seem simple, but they
support billion-dollar businesses. In 2017, BPOs generated as 1
much as USD 25 billion.
Although the concept of automation has been around since the
days of the industrial revolution, most enterprises have mostly
leveraged it for systems and tools that have been purpose-built
for meeting specific business needs. What these enterprises
lack is a unified strategy around automation, which results in
high maintenance costs of multiple point solutions. Not only
that, this fragmented and redundant infrastructure delivers
inconsistent customer experience.
As more enterprises move to the cloud and adopt mobile
computing, expectations from employees are evolving – from
executing repeatable tasks to ensuring excellence of and adding
more value to back-office tasks. With the IT automation market
slated to reach USD4.98 billion by 2020, robotic process
automation (RPA) will be a game changer in removing
bottlenecks across outsourced processes.
Building an Optimized RPA Framework
A holistic RPA framework can not only mitigate process-specific
roadblocks but also enable organizations to reduce the scope of
expensive technical maintenance or change management. The
underlying principle must be based on being agile, lean before
automation, and data-driven (see Figure 1).
Figure 1: Core Principles for Embracing RPA
Plug & Play
x xx
Optimization Future ofthe Ops
A ?
Adaptable to Change Lean before Automation Data driven OpsContinuous improvement
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When applied to process automation, these principles deliver
the following benefits: reusability, consistency, faster
development (reduced time to market), process optimization
(improved productivity and cost savings), and strong analytics
and reporting. Baselining key metrics such as reduced cycle
time, reduced manual intervention, and spike resiliency, and
reporting them on periodic basis will provide visibility on the
improvements and help identify opportunities for further
optimization.
We propose a framework that is designed as an assembly-
based model, with relevant business processes organized into
multiple steps with defined workflows and backed by rules to
arrive at the predetermined outcome (see Figure 2).
Depending on process analysis results and overall enterprise
requirements, these components can be customized, although
not all of them may be deployed.
Such a framework will include:
Multiple stages, such as input, validation, processing, quality
check, and output, which are meant to modularize a process.
These stages can be defined during the process analysis phase
and the relevant owner can decide these stages to reduce
development effort. Each stage can have sub-steps to
Figure 2: Proposed RPA Framework
INPUT VALIDATIONWorkow
WorkowOUPUT QUALITY CHECK
Analysis Optimize
PROCESSING
Catalog
Rule Rule
Rule
RuleRule
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modularize. If any changes are applied to a module, only the
associated stage(s) will be marked for updating instead of the
entire process.
Workflow, for deciding the next steps of a process based on
previous steps. These business processes are dependent on
human-led decisions and approvals, particularly from external
stakeholders, and therefore involve longer turnaround times.
With a workflow in place, it will be easier to coordinate the
inter-relationships between various steps.
A rules engine, which is at the heart of the framework, allows
reusability of repeatable steps within or outside the process.
This helps enterprises take better and faster decisions by
allowing end users to control and apply business rules (along
with required changes) without having to depend on IT teams.
This can be further enhanced with a cognitive learning system
that mimics human judgement.
Analytics, to develop an in-depth understanding of the input
and output of each step. This will help to categorize the steps
into various stages of the framework. The framework should
provide optimization capability to check and avoid redundant
steps. It should be able to evaluate the team and SLA
optimization based on automation and process optimization.
SLA realignment is also critical to help improve the turnaround
time with every iteration. This realignment exercise should not
only address the process which is being automated but all the
interdependent upstream or downstream processes as well.
Business repository, a collection of repeatable steps across
business processes and sub-processes, will help standardize the
automation scope by predicting the effort required for
processes with similar process steps. The in-built optimization
mechanism will help save time and increase accuracy, and allow
accurate measurement of productivity.
As the next level of maturity for this framework, new stages
can be determined that will involve human judgement and
applicability of cognitive intelligence. This will help enhance the
framework in terms of efficiency and flexibility.
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Conclusion
The proposed framework can be applied anywhere within an
organization to automate various processes, and will deliver
several benefits including:
n Consistency across groups with different processes for
automation: This will help the business view a common
structure across automation solutions and allow employees
to focus on core business activities during the transitions and
day-to-day processing.
n Fostering an Agile culture: Having an integrated platform
will help develop and test solutions in tandem.
n Increased throughput: The business repository will enable
faster development, thereby expediting delivery to end
users.
n Improved accuracy: With the elimination of human errors,
end users will receive accurate results.
n Enhanced visibility: The framework will provide extensive
reports to customers at each stage of the framework, which
will help streamline operations and strengthen process
governance.
References[1] Global outsourcing industry revenue from 2010 to 2017, by service type (in billion
U.S. dollars), accessed Spetember5, 2018,
https://www.statista.com/statistics/189800/global-outsourcing-industry-revenue-by-
service-type/
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About The Author
Kapil Manshani
Kapil Manshani is a domain
consultant with TCS' HiTech
business unit. With over 12
years of experience in the IT
industry, he is currently leading
new platform development for
a global technology account to
improvise service and
operations excellence within
and outside the client
organization. A CSR champion
for the account, Manshani
regularly volunteers in
activities pertaining to
education, environment, and
health. He has a Bachelor's
degree in Electronics
Engineering from Nagpur
University, Maharashtra, India.
Manshani has vast experience
in business delivery, solution
design, and customer
relationship management.
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