For companies to digitally transform, increasing productivity levels is crucial. This increase is possible when companies deploy automation into their key business areas.
Many leading companies successfully implement intelligent automation by integrating robotic process automation (RPA) and AI on their automation platforms.
What is Intelligent Automation?
McKinsey defines intelligent automation as:
“Intelligent automation includes core technologies that integrate with existing business processes. It includes techs like robotic process automation (RPA), machine learning, AI, and cognitive automation.
The technologies improve business processes and manage with sophisticated tools that remove all repetitive, duplicate, and manual tasks.
So, with the suite of tech tools, businesses improve their customer journey roadmaps by simplifying interactions and speeding up processes.”
Essentially, it is the automatization of processes with inbuilt data intelligence. This allows the platform to use data insights for better productivity.
Intelligent automation in businesses aims to improve the management of assets, increase productivity, and reduce operational costs and risks. This virtual world executes automated tasks, communicates, learns from data sets, and helps CIOs make the right decisions backed with analytics.
Intelligent automation uses these core technologies:
- Robotic process automation (RPA): the job of Robotic process automation (RPA) in IA is to automate repetitive tasks such as data extraction, cleaning, segregation, and other labor-intensive, manual tasks. Its efficiency and scalability add value to the processes without any human error scope.
- Machine learning: The ML algorithms track daily data analysis. Advanced analytics creates data insights that are turned into machine learning algorithms. These are the inputs for an efficient decision-making process that AI will use.
- AI plays a crucial role in intelligent automation platforms. This tool allows analysis of the data and, using the ML inputs, makes intelligent decisions for the execution of tasks. The intelligence factor here is insights that drive the most productive options in whichever field the platform uses. For instance, for marketing, data insights can help personalize the product and its messaging to meet the customer’s needs.
- Cognitive agents like chatbots combine machine learning and natural language with building a virtual workforce. This is the customer or execution-facing aspect of intelligent automation.
These tools work to create a smart workflow. That process-management software tool combines with RPA, automates business tasks, and efficiently manages business processes.
IA’s biggest advantage to the enterprise is leveraging advanced technologies- AI, ML, RPA, and cognitive tools- to deliver flexible and scalable processes. AI’s data insight abilities help enterprises make faster, smarter decisions every single time. The workforce productivity is extremely well optimized, leading to much lower costs. It also helps to reduce risk and offer effective monitoring and fraud detection insights.
The result is a much higher process efficiency, leading to a much higher customer experience. On the side, the human skills freed up and worked on higher innovations, better ways of providing customer satisfaction, and even ideate newer, better products.
Intelligent automation is taking center stage to drive more revenue.
This is from a report- Intelligent Process Automation Market, by Precedence Research.
Implementing Intelligent Automation
CIOs should plan to deploy automation with a well-thought-out design and strong governance that benefits businesses.
So, businesses can do it in these ways:
1. Identify Business Areas to automate
To ensure that the brilliance of these technologies is best utilized, CIOs must first identify the areas where IA platforms will deliver the best advantage. Identifying the key business areas to automate becomes an easy step to integrate technologies like AI, RPA, cognitive, and machine learning.
So, maybe marketing, onboarding new employees and new customers, IT infrastructure, and cloud setup require automation to drive productivity. CIOs can identify other areas that need automation.
2. The scope
Remembering the goals while planning the roadmap to transforming business process management with automation is important.
Goals like why businesses need automation and why automate a specific process should be on top of mind to develop an automation strategy.
Having clear goals will help CIOs get clarity while designing automation with the technologies.
3. Examine existing processes to automate
The idea is to understand which processes require extra investments to integrate automation tools and which won’t.
It’s because examining existing processes will help CIOs to know the impact and outcome after automation.
Also, how it can be improved or how it should be changed are other aspects to be cleared off after examination.
4. Automate and test processes
CIOs should use a low-code automation engine to automate specific tasks and see the outcome.
So, if the functions and workflows work well after automation and deliver the desired outcome, automation has been perfectly done.
With this, checking accuracy and efficiency is even more important.
Keep a check on AI algorithms, software performance, and tasks performed to check if it is fully aligned.
Also Read: How Enterprises Can Leverage Intelligent Automation
5. Implementation of Intelligent Automation
While the concept is interesting and benefits companies that deploy and use automation, there are also different aspects to consider. It’s a complex and arduous process. Here’s how companies can make sure that they don’t fall into the complexities of deploying automation:
- Increase automation-driven knowledge. For example, the usage of RPA and its strategies that would benefit business
- Upskill employees to improve their tech knowledge and capabilities
- Identify business processes that can be and cannot be automated
- Analyze which RPA, AI, machine learning tools, and solutions can be deployed
- Choose the right tech partner for deploying tech
Gartner’s study in the 2023 Leadership Vision for Infrastructure & Operations report finds that
85% of infrastructure and operations (I&O) leaders that haven’t deployed automation also look ahead to do it in the next two to three years.
Through the report, companies should estimate how the future of businesses in the digital world will operate.
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