Future Of Intelligent Automation: Integrating RPA And AI
The two most effective technologies for organizations to accomplish the seemingly contradictory aims of raising customer satisfaction and employee morale while lowering operating costs are artificial intelligence (AI) and robotic process automation (RPA).
Let’s examine what RPA and AI have to offer, how these complementary technologies are most effectively used while combined, and what benefits can result from doing so. There is a new concept that naturally enters the discourse when artificial intelligence and RPA are combined: Intelligent Automation.
What is Intelligent Automation?
Intelligent Automation is the combination of Artificial Intelligence and further complementary automation technology. The automation technologies may consist of cognitive automation, machine learning (ML), business process automation (BPA), or Robotic Process Automation (RPA). Intelligent Automation is also called smart process automation (SPA)
Here, using this kind of automation, the user can emphasize more on the final target or outcome of the process, rather than disparities between different programs. Along with this, it offers a variety of perks that support an organization’s digital transformation.
The use of additional tools in intelligent automation, such as virtual assistants and chatbots, gives companies access to various insights that improve automation effectiveness and enable quicker customer service.
Uses of Intelligent Automation
When it comes to intensive technologies such as Intelligent Automation, they consist of numerous functions in various domains of day-to-day life which ultimately help in providing a better customer experience. Some of the uses include the following:
- Intelligent document processing (IDP): There are various formats of business data including images, emails, files, and so on, that often appear in an unstructured manner. The main goal of IDP here is to extract, verify, and process such data using the growing IA tools like RPA, machine learning, and natural language processing (NLP).
- Process discovery: IA can help in creating a complete guide for automating a process using RPA and AI.
- Streamline workflows: IA can automate workflows for a quicker and more effective process.
- Production and supply chain management: Production can be anticipated and modified using modern IA techniques to adapt and shift supply and demand.
- By automating all tasks such as daily work of data entry, information tracking, filing results, and maintaining the tax bills, you can more easily comply with legal standards while freeing up your experienced staff to concentrate on strategic work instead of routine administrative duties.
Example of Intelligent Automation
Intelligent automation is becoming more and more popular among businesses as a way to boost output and cut costs. The applications of intelligent automation are numerous, including:
1. Quality Management
Various estimations have shown the hidden costs of quality management are as high as 20% of the overall cost of goods sold. This is because manual quality management processes lack process visibility and are difficult to control. With the help of intelligent automation, stakeholders can have simple access to staff duties and performance information in one place. Additionally, organizations can use automation to interact with a document management system and run tests more quickly and accurately.
2. Inventory Control
The traditional inventory control procedures involved a lot of manual work including activities like creating work orders, billing, and shipping. But now, manual inventory control is no longer an option for businesses that have switched to multichannel marketing and sales procedures.
Organizations can automate their supply chains, keep track of inventory, manage shipping and fulfillment, and sync these multichannel order and inventory data with intelligent automation. Automated inventory control will be more crucial as businesses continue to expand the range of goods and services they offer.
3. Employee onboarding and offboarding
Both, the onboarding and offboarding of employees are tedious procedures that use up a lot of resources. It is necessary to allocate new assignments, execute documentation, and train new hires. Obtaining a letter of resignation, processing payment of outstanding wages and expenditures, and guaranteeing the secure return of business property are typical duties associated with employee offboarding.
Organizations can make sure that all these necessary onboarding and offboarding procedures are done by using intelligent automation. This will save a lot of time and unnecessary manual work.
For instance, when new employees are employed, everything they need to do their duties, such as computer access and a security card, will be made available to them.
Integration of RPA and AI for the use Of Intelligent Automation
AI and RPA contribute significance on their own. However, the combination of the two (i.e. IA) offers enormous value in developing solutions that make use of a technological knowledge base to expedite procedures and communications among applications.
- RPA and AI work together to provide more accurate and effective automation that is supported by a comprehensive knowledge base.
- The goal of AI is to replicate human intellect in machines, whereas RPA automates tasks involving logic and structured data. Combining them, IA gets capable of replication human intellect along with automation of logical repetitive tasks in any machine
- To improve the value of their interactions, several tools and products involve AI to make use of information received from diverse sources. RPA, on the other hand, is useful for automating structured data-based activities, many of which once required manual interaction.
The Benefits of Integration of AI and RPA
When two widely used and well-suited technologies, AI and RPA, are combined, their result has even more favorable impacts.
1. Increased Productivity
Since automated programs and procedures are operated more quickly, organizations can increase their productivity and planning cycle accuracy. This can be done by automating applications, processes, decision-making, forecast,s, and projections using a variety of sources of structured and unstructured data in real time.
For instance, hypothetically RPA has employed a client in any particular sector, to develop bots. These are tasked with automating the creation of monthly management reports or the daily data entry job. These are the kinds of advantages it provides.
2. Improved Accuracy
Better decision-making is always ensured by the utilization of both data as well as the automation of repetitive tasks. In this way, the results that require less human interaction are more accurate.
For eg: RPA was recently employed by an IBM client in the finance sector to build bots tasked with automating the creation of monthly management reports. The accuracy of these reports and many others were increased by this automation since it removed errors that were introduced into the process through manual data entering.
3. Enhance The Customer Experience
Business companies that employ modern technologies are better capable of understanding their consumers’ demands, communicating more effectively, and marketing higher-quality goods. Customers are often happier with their purchasing experience as a result.
Conclusion
Numerous current and emerging technologies will soon overtake many other technologies. Intelligent Automation stands out from the others among them owing to several advantages. Along with it, if implemented correctly, IA can also have the potential to significantly improve a variety of companies.
