Understanding the difference between Robotic Process Automation (RPA) and Intelligent Automation (IA) is essential to making the correct automation decisions for your business.


  • Robotic Process Automation (RPA) helps the areas of business that have standardised processes and operations, whereas Intelligent Automation (IA) challenges and adopts the complex use-cases from unstructured business processes.
  • RPA-Robots focuses on the business processes and the organizational functions, whereas IA-Solutions concentrate on the optimal target operating model on an enterprise-level.


In the last decade, by extending the horizon of Business Process Automation (BPA), Robotic Process Automation (RPA) ranked one of the most disruptive technologies in the modern technology landscape. Gartner(1) predicted, “By 2024, organisations will lower operational costs by 30% by combining Intelligent Automation technologies with redesigned operational processes”. By streamlining processing at task-level and using the principles of BPA, RPA technology platforms and solutions have proven their ability to transform both large and small businesses and their processes in almost every industry, including banking, finance, aviation, manufacturing, etc. . RPA software and service providers like Client Solutions are working to turn the ecosystem around traditional RPA into a toolbox. As a result, RPA software and platforms are becoming more agile and integration friendly, helping businesses to adopt automation for core and non-core business areas.

Artificial Intelligence (AI) is focused on the more complex business challenges. AI uses algorithms to simulate how the human brain senses its surroundings and makes decisions; AI is cognitive in nature and resembles our capacity as humans to make decisions. In short, AI helps systems to learn, understand, sense, and act.



Intelligent Automation (IA) is where RPA and AI come together as a perfect combination. The self-learning capabilities of AI combined with the flexibility of RPA enables organisations to create intelligent, end-to-end automation strategies/roadmaps. IA approaches process transformation intelligently, empowering rapid end-to-end business process automation and accelerating digital transformation for the organisation’s operations and processes. Combining AI with RPA provides powerful and versatile chemistry resulting in smarter, cognitive IA platforms. With IA, organisations can imagine AI-powered bots with analytical capabilities and RPA bots that handle repetitive and monotonous tasks, including responding to common queries or completing calculations without human input. Together with our IA technologist team, we at Client Solutions aim to improve efficiency and enhance productivity for the business operations and processes.

To facilitate your automation initiatives, our objectives and focus areas are:

1.Boost Productivity and Eliminate Errors
One of the most promising agendas for intelligent automation initiatives is to deliver higher productivity by automating tedious and repetitive tasks. Automation-bots and AI-engines emphasise reducing errors and exceptions in the processes.

2.Improve Customer Experience (CX)
As technologies evolve, the IA ecosystem is continually improving, creating new and better ways for organisations to interface with their customers. IA strategy aims to help in maximising the customer experience. For example, cognitive-enabled chatbots can provide customers with instant and accurate responses without the need for interaction with multiple back-office systems or any human e.g. raising a complaint, registering an order, etc.

3.Decision-Making and Processing Complex Data
IA aims to reduce cycle time significantly and improve the decision-making process. IA harnesses the power of AI by analysing large amounts of data and providing critical insights and analytics. IA uses a “data-driven” approach for operational decision-making, evolving the bots and engine further and bringing AI into the workflow as a primary processor of data.

4.Automate End-2-End
Emerging technologies are enabling a new era of “Hyperautomation”(2,3) in which robotics and AI automate the end-2-end business processes and operations in a more impactful way than the RPA-only automation capacities. Hyperautomation is at the core of robotic process automation and extends capability with artificial intelligence, process mining, analytics, and other advanced tools. Hyperautomation is undeniably the next step for automation initiatives in order to deliver increased productivity, enhance the workforce’s capabilities, make jobs more satisfying and help in reducing risk.



The overall trend is for continued growth in IA adoption by medium to large size organisations through IA platform providers such as UiPath, BluePrism, Automation Anywhere, Kofax, etc. The leading players in IA are striving for continuous improvement with all-inclusive integration platforms as a service (iPaaS). In addition, other large software vendors are aiming to position their IA offering by referencing current products like SAP and IBM.

Client Solutions’ view is that globally, organisations’ preference for low-code application platforms (LCAP) for their automation initiatives will continue to grow. For Irish organisations we believe the Intelligent Automation (IA) agenda will especially aim to improve customer-focused automation, pushing businesses to more advanced automated systems and workload management solutions.
We are more than happy to discuss the next steps of your automation strategy and help you achieve high productivity with intelligent automation. Get in touch with our in-house intelligent automation team at enquiries@clientsolutions.com.


(1) Source: https://www.gartner.com/en/webinars/33121/gartner-predictions-for-rpa-and-intelligent-automation

(2) Source:Smarter With Gartner “Gartner Top 10 Strategic Technology Trends for 2020,”

(3) Source: https://www.uipath.com/rpa/hyperautomation