The days are long gone when manual processing of data and filling forms was the centre of the success of any organization. The result was significant in receiving critical information that could aid future predictions of an effort or trends. The aim has remained more or less identical; however, the method has drastically changed with Intelligent Automation. 

Combining Artificial Intelligence with Robotic Process Automation offers Intelligent Automation, which is fueled by insight-driven analytics, process automation, and more to bring more productivity to the table. This blog throws light on the application and benefits of Intelligent Automation to businesses across industries.

First, let’s talk about it IA’s implementation.

Name any industrial sector, and you will find intelligent automation residing within its walls. Modern technology with immense computing ability has produced highly-advanced software that can achieve both physical and cognitive tasks. This software has a few roles: processing and analyzing data, spotting any mistakes and inconsistencies, analyzing the working pattern and storing it, and bringing an optimum decision to the table. However, the operator either passed or ruled out the end decision.

Following is a list of 8 intelligent automation applications that can be used in several industries.

1. Intelligent automation works on several components simultaneously, such as ML or machine learning and robotics. ML can be used to receive and analyse customer data like queries, complaints, and tickets. This data, then, can be classified and stored into different categories. Post this, robotic process automation or RPA can take can be used to generate an automatic response to the queries based on their priorities.

2. ML can be used to catch any change in customer behaviour based on the interaction and, ultimately, any churn risks. In such cases, robotics can search for customer data to pass on the relevant information to AI, which in turn generates a series of retention responses.

3. Several industries like manufacturing and logistics function on complex machinery. ML can be used in the same regard to analysing time-sensitive data and spot fault risks. Robotic process automation collects data from dispersed systems. When the risk is identified, the process alerts and proactively plan a repair.

4. Retail-based industries thrive mainly on customer data and purchasing histories. Robotic process automation can be applied in such industries to collect dispersed data to help AI generate a personalized recommendation. RPA can, in return, deliver customized offers to users.

5. Robotic process automation can be used to identify spam orders and frauds. Such actions are identified under anomaly detection. RPA collects new transactions that is then passed on to ML, which puts review for suspicious activities or order. In such cases, RPA brings more information that might help during the investigation.

6. Intelligent automation comes in handy in strategic optimization. For instance, RPA can be used to collect data from diverse sources when businesses plan to expand their stores in different areas. This allows companies to expand their presence and achieve growth effectively within a brief period.

7. One of the essential functions of intelligent automation is analysis and prediction. Business forecasting is a common challenge across industries, so RPA is used to collect real-time data. ML uses this data to spot challenges and develop enhanced approaches to overcome the bottleneck.

8. Lastly, intelligent automation can help to streamline routing and spot any possible bottleneck. ML brings preventive action to the table, with RPA offering alerts to the relevant workforce.

Now coming to the benefits part..

Be it creating invoices, onboarding a new employee, or simply processing customer data, intelligent automation has taken over these administrative tasks successfully. Given its profitability and effectiveness to a business, IA is an investment worth making. 

Following are the benefits of intelligent automation or IA to transform any business for good.

1. Cut down business costs – Automating business processes can help businesses slash efforts and expenses. Further, this can help companies downsize their team and use the cost saved in acquiring new clients and scaling up the business.

2. Save time for important tasks – Intelligent automation automates business processes, thus giving time for employees to focus on critical functions like improving client relations and developing innovative business initiatives.

3. Eliminate human error – Redundancy typically accompanies error; there are chances of error when an employee is tasked with repetitive tasks. Such occurrences are unavoidable but can negatively affect any business. These errors can be costly and require more time to rectify.

4. Offers traceability for various actions – Intelligent automation avails a trail to trace the process in action from start to finish. This can significantly strengthen analytics and lead to successful financial audits.

5.Coordinate dispersed data in one place – The best feature of intelligent automation is that it can reach data from the different software systems. Simply saying, IA enables businesses to combine processes seamlessly.

6. Enhance client and employee satisfaction – Intelligent automation offers improved client satisfaction, leading to improved employee satisfaction. Automated processes provide speed and accuracy that enhances client service. 

Final thoughts

We have tried to cover every possible benefit and applicability that intelligent automation can provide to businesses. Whether to minimize time-to-market, bring more innovation, or aid a company in achieving a competitive edge, IA can be used easily regardless of a business’s geographical location or present proficiency level.