The Roadmap to Intelligent Automation Transformation: Achieving Maximum Efficiency

1
The Roadmap to Intelligent Automation
Transformation
Achieving Maximum Efficiency

• To plan for the post-pandemic world, business
  leaders are looking for technologies that offer
  gains in efficiency and save costs. Technologies
  like robotic process automation (RPA) and
  intelligent process automation (IPA) therefore
  continue to gain popularity. However, successful,
  implementation of intelligent automation
  requires a well-defined roadmap that outlines the
  steps and actions required to fulfill its
  objectives. It also means identifying the right
  areas that are best suited for automation.
• Based on your needs, you may require any one or a
  combination of the following
• Design and develop automation solutions
• Deploy and integrate automation solutions
• Develop a change management automation solution
• Scale and expand with process automation

WWW. SUNTECHNOLOGIES.COM
2
How to Make Intelligent Automation Work for Your
Business Intelligent Automation uses advanced
technologies such as artificial intelligence (AI)
and robotic process automation (RPA) to automate
complex business processes and tasks. It combines
AI algorithms' power with automation's
efficiency to improve operational efficiency,
reduce errors, and enhance decision-making.
There are numerous business applications for
intelligent automation across various
industries, such as manual processing of data and
filling forms. By leveraging intelligent
automation, organizations can achieve increased
productivity, cost savings, and improved
customer satisfaction. Harnessing the Power of
Intelligent Automation for Diverse
Firms Intelligent automation works on several
components simultaneously, such as ML, or machine
learning, and robotics. For example, ML can
receive and analyze customer data like queries,
complaints, and tickets, which can be classified
and stored into different categories. Robotic
process automation (RPA) can automatically
respond to queries based on their priorities. ML
can also catch any change in customer behavior
based on the interaction and, ultimately, any
churn risks. Several industries, like
manufacturing and logistics, function on complex
machinery, and ML can be used to analyze
time-sensitive data and spot fault
risks. Retail-based industries thrive mainly on
customer data and purchasing histories, and RPA
can be applied to collect dispersed data to help
AI generate personalised recommendations. Lastly,
intelligent automation can help streamline
routing and spot any possible bottlenecks. ML
brings preventive action to the table, while RPA
offers alerts to the relevant workforce. Reimagi
ning Intelligent Automation in 2023 What's
Next? Gartner's 2023 technology trends for
intelligent IT automation include
hyperautomation, AI- powered decision-making,
intelligent chatbots and virtual assistants, and
automation of knowledge work. Hyperautomation is
used to automate complex business processes
end-to- end, while AI-powered decision-making
analyses data and makes data-driven
recommendations. Process mining, enhanced
security, governance, collaboration between
humans and automation, and ethical considerations
in automation are emerging trends. Intelligent
automation (IA) combines capabilities that enable
organisations to mimic, replicate, or augment
human activities. It has evolved beyond robotic
process automation (RPA) with features such as
low-code and no-code development platforms,
intelligent document processing (IDP), optical
character recognition (OCR), natural language
processing (NLP), and machine learning
(ML). More intelligent automation tools are
available today than ever before to support
business enablement and drive operational
efficiency. 2023 will be a year of significant
automation potential due to continued talent
shortages, soaring labour costs, inflation
pressures, and increasing customer demands.
Leaders should stay up-to-date on the latest
automation trends and technologies to drive
innovation.
WWW. SUNTECHNOLOGIES.COM
3

• End-to-end automation is gaining popularity due
  to its ability to integrate with different
  systems and technologies, providing a seamless
  and efficient workflow.
• Low-code technology platforms enable
  organizations to quickly create, deploy, and
  manage automation solutions, leading to faster
  time-to-market and more efficient processes.
• Organizations use automation for business
  transformation and value creation, leading to
  digital-centered products and services, improved
  customer and employee experiences, and increased
  revenue.
• Automation is used to offset rising labour costs
  and inflation, with 78 investing to cover
  position voids and attract fresh talent.
• Businesses must establish an RPA Centre of
  Excellence (CoE) to scale their automation
  program and increase operational efficiency, with
  72 having deployed one by 2022.
• AI and automation are used to create advanced
  automated systems and processes, such as
  advanced communications mining and intelligent
  document processing.
• Low-code technology is essential for increasing
  the accessibility of automation and artificial
  intelligence, allowing users to generate
  automation, data models, and applications with a
  drag-and-drop interface.
• Unlocking the Potential of Intelligent Automation
  in Operations Process Improvement
• Intelligent automation plays a crucial role in
  operations and process improvement by leveraging
  advanced technologies such as AI, ML, robotics,
  and process automation. It combines these
  technologies to streamline and optimize business
  operations, resulting in increased efficiency,
  reduced costs, improved quality, and enhanced
  customer satisfaction.
• Process Automation
• Data Processing and Analysis
• Decision Support
• Workflow Optimization
• Customer Experience Enhancement
• Continuous Improvement and Monitoring
• Concluding the Roadmap A Top N Overview
• The road map to a successful, intelligent
  automation transformation in 2023 requires a
  strategic and systematic approach. It includes
  redefining the vision and objectives, assessing
  the current state and readiness, building a
  business case, creating a governance structure,
  and developing a technology strategy. These
  steps will enable organizations to leverage
  automation technologies effectively, optimize
  processes, and drive meaningful business
  outcomes. They will also prioritize functions
  with high automation potential and continuously
  optimize automation solutions based on feedback
  and performance metrics.

WWW. SUNTECHNOLOGIES.COM
4

• Sun Technologies has been helping customers
  achieve
• 90 of all IT provisioning
• 100 SLA 2X faster
• Save 9/10 of time to build automations with code
• 28 reduction in operational costs
• 99 accuracy and processing
• Accelerated Go-to-market
• Up to 40 reduction in project costs
• Up to 90 reduction in mundane tasks
• Schedule a meeting with us to discuss how to
  uncover the potential of Intelligent Automation

WWW. SUNTECHNOLOGIES.COM