Intelligent Automation can drive more efficiencies and ROI when it is based on streamlined business processes.


For a long time, business process engineering initiatives were focused on the time-motion-study, process costs, efficiency, and productivity for eliminating errors and aiming to reduce Turn-Around-Time (TAT), and various measures for operational excellence.

Today, process engineering evolves around an emerging technology and focuses on enhancing simplicity and digitisation for customers and employees. This trend has evolved thanks to end-to-end process automation.

Crucially, before automating processes, we need to improve them, here’s why:

  • Accommodate changes: Any change in the business processes or operations causes additional learning curve and discrepancy for automation initiatives
  • ROI: Choosing the most appropriate business processes to automate is important in order to gain the right Return on Investment (ROI)



At Client Solutions, we leverage best-in-class process engineering methodology along with the right selection of IA solutions to maximise the automation benefits, build a solid business case and ensure positive ROI. We deploy a simple but effective 3 step approach, harmonisation, standardisation, optimisation.

We improve organisational processes and functions for our clients by starting at the fundamental level of their business and operations.


Harmonisation focuses on the anticipation and elimination of discrepancies in the technical content for the business operations. The approach of harmoniastion is based on the principles of having the same scope for the products, services, and line of businesses within an organisation.

The harmonised products and services help to stitch varying practices together and replicate the IA solutions across various practices with minimum customisation.


Standardisation refers to creating uniform business processes across various functions, divisions, or locations. The focus is on delivering cost and performance objectives.

A Standardised process helps to better define overall business processes, therefore reducing the risk for errors. The decisions about standardisation are process-specific and offer the agility for IA implementations.

3. Optimisation:

Optimisation means adjusting the process in order to optimise a specific set of factors and parameters without violating the constraints. Business process optimisation aims to increase organisational efficiency.

An optimised processes help eliminate the redundancy and streamline the process workflow that accelerates the robots’ processing time and further simplifies automation.



A new era of Robotics Process Automation (RPA) began around a decade before the emergence of process automation, going beyond traditional automation management capabilities and blending with technologies such as Robotics and rule-based designs. And now, with Intelligent Automation (IA) the scope of automation expertise is becoming more in-depth and broader as it includes Artificial Intelligence (AI) and automated decision-making. Although the majority of use cases for IA are still in business operations, processes and customer interactions, IA is beginning to assist organisations and businesses over a wider range of use cases such as connect all marketing data and KPIs automatically to help evaluate the return on marketing investment(RoMI) or visualize real-time data for better analytics. So, any inconsistent, unstandardised, or scattered business process will act as a blocker to leveraging the potential of Intelligent automation implementations.


Undoubtedly, IA can drive more cost efficiencies when it is based on streamlined business processes. To achieve a smoother transition, faster delivery and obtain maximum output from enterprise-level intelligent automation, there is a fundamental need for harmonisation, standardisation, and optimisation of the business process. Client Solutions applies these functional methodologies as part of accompanying clients through their IA journey. For more details on the Intelligent-Automation-Ecosystems (1) refer to my article here. or get in touch with our in-house Intelligent Automation team at to know more.



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