Intelligent Automation: All about its benefits and relevance

AI or Artificial Intelligence, when reversed, makes IA or Intelligent Automation. However, making IA requires several components from different evolving technologies. AI combines with robotic process automation, data mining, and other emerging technologies to create Intelligent Automation aka Intelligent Process Automation (IPA). The goal is to build end-to-end business processes programmed to analyze, learn, and adapt themselves.

This blog highlights the importance of Intelligent Automation and its relevance across several industries. But first, let’s know a bit about this software process to understand its relevance later.

How does IA help businesses?

As indicated earlier, IA nurtures modern, flexible, robust business models by building end-to-end business processes. Combining human efforts and IA can free employees from redundant tasks and shift their focus on creativity and innovation. These jobs are carried forward and managed by machines. The process can add value to any business that needs to transform its operations digitally.

However, building a seamless IA ecosystem requires a joint effort from the IT framework and business functions. This collaboration can effectively assess the existing process and create an integrated system to bring necessary changes to the operations. Businesses need to train their workforce in this transformation journey because it is a new concept.

Intelligent Automation automates traditionally labour-intensive efforts with emerging technologies like AI, Machine Learning, Computer Vision, Natural Language Processing, and Data Mining. For instance, it can use machine learning to identify patterns in structured historical data to make accurate predictions and forecast business outcomes.

5 benefits that Intelligent Automation offers to businesses

1. It offers quick and low-cost system integration

Historically, software integrations were a costly affair and a process that required constant back-end coding. Complex businesses work on several legacy software at once, requiring consistent developer support. However, IA platforms end this need and interact with different systems very effectively.

2. It stores valuable data automatically relating to critical business processes

Any business that runs several processes simultaneously stays prone to data loss during translation, leaving no trail behind. Therefore, finding the data or even the person responsible for data loss is difficult. The IA platform automatically creates audit tracks for every action. Additionally, it enables managers and similar profiles to uncover untapped business opportunities by collecting and organizing new process data. The well-managed collection can support compliance regulations across many industries, saving time and money for the business.

3. It integrates business data with process data to discover new opportunities

Business data gives the business result, while the process data shows the work track. Business data includes sales figures, inventory levels, and other resultant metrics. Meanwhile, the process data records data like the operation time spent by a user to perform a task daily or as needed. Ideally, these two data types remain in a silo. In case data is stuck, the process data is stored across the business process applications. IA allows data unification in mentioned circumstances by keeping all the data on a single system.

4. It builds a holistic process ecosystem that includes both customers and partners

Earlier ecosystem participation was costly, with developers creating portals for customers and partners and participants submitting the documents. With IA, outward-facing portals were created for data collection and sharing. The Automation reduced the processing time while maintaining its process transparency.

How does IA aid businesses after the pandemic

The pandemic has brought havoc everywhere; businesses remain no different. It has reminded the world about the importance of resilient, flexible, and end-to-end business processes.

Intelligent Automation is a well-tested and newly-proven coping mechanism when a business experience a fall. It reduces the cost while enhancing efficiency. And therefore, organizations are leveraging the power of Intelligent Automation to cater to the ever-evolving customer needs. The freshly-evolved business operating models allow them to predict the future accurately. It ultimately allowed them to become a leader in their domain.

In conclusion, Intelligent Automation offers competitive advantages for businesses that are experiencing a downfall or stagnancy. It provides deep personalization to meet an industry challenge. Therefore, it is advisable to harness IA to automate complex business processes without making extra expenses or hiring several roles at once. In the post-pandemic era, where businesses are still coping with their loss, there is a dire need to strengthen the system with intelligent end-to-end digital processes.