insurance company
used Robot Processing
Automation to
improve process
efficiencies
AT A GLANCE
Define priorities
and manage
the successful
execution of
RPA solutions
AT A GLANCE
Cost saving,
improved
efficiency and
increased
resources
AT A GLANCE
Reduction in
human error
rates
AT A GLANCE
Redistribute
accumulated
knowledge and
resources across
future deployments
AT A GLANCE
Effectively channel
resources and
harness synergy
between business
and IT teams
Background
Challenges
The client’s existing operating model was highly dependent on people, rather than processes and systems. There was also a large volume of manual work that was highly error-prone.
This led to:
Inability to scale the existing operating model
Erroneous entries in the financial systems
A technical landscape which consisted of a host of legacy systems with no integration between applications
To establish an RPA CoE, our team conducted a two-week assessment/discovery of their processes and created a business case and a roadmap for the implementation of the CoE.
Solution
All the potential processes that would be automated along with the prioritization of the process
Team structure that would be required to implement the CoE
Indicative budget and timelines for the implementation of the CoE
Governance structure for running of the CoE
Based on the roadmap, our team of RPA experts was deployed to implement and manage the RPA CoE.
Additionally, the assessment team was also involved in creating a proof of concept to help the client understand the full potential of the CoE.
Outcome
The RPA CoE established for the client resulted in an acceleration of their organization’s automation efforts.
It also helped:
Reduction in
human error
rates
Redistribute
accumulated
knowledge
and resources
across future
deployments
and manage
the successful
execution of
RPA solutions
improved
efficiency and
increased
resources
Reduction in
human error
rates
Redistribute
accumulated
knowledge
and resources
across future
deployments
resources and
harness synergy
between business
and IT teams