Hyperautomation for customer service excellence

Not all companies are downsizing; some companies, such as Walmart, CVS metadialog.com and Dollar General, are hiring to fill the demands of the new normal.”

There’s also access to AI solutions business leaders can build into their existing technology, to deal with various things like processing contracts and documents as rapidly as possible. A construction company managed to significantly improve the speed of customer issue resolution and CSTA with an intelligent automation platform our team created for them. Once the type of request has been defined, a mix of Cognitive OCR and Named Entity Recognition allows to extract the information necessary for processing the file in 95% of cases. These data are detected by “searching” within the email thread and/or in the additional attachments. The presence of scanned and probably handwritten documentation requires the use of OCR solutions for text recognition. The applied tools simulate the functioning of the human eye when searching for information, not limited to simple text but seeking its visual representation on the screen.

How to Implement Intelligent Automation (IA) in Your Business

Especially if you’re not intimately familiar with the tech industry and its automated contributors, Robotic Process Automation probably sounds impressive. What we know today as Robotic Process Automation was once the raw, bleeding edge of technology. Compared to computers that could do, well, nothing on their own, tech that could operate on its own, firing off processes and organizing of its own accord, was the height of sophistication. However, that this was only the start in an ever-changing evolution of business process automation.

• While making changes and replicating the process, some RPA tools need to stop.
• An organization invests a lot of time preparing employees to work with the necessary infrastructure.
• As confusing as it gets, cognitive automation may or may not be a part of RPA, as it may find other applications within digital enterprise solutions.
• Traditional RPA is primarily limited to automating tasks that require quick, repeated operations without considerable contextual analysis or handling eventualities (which may or may not involve structured data).
• Accounting and financial management can be among the most complicated aspects of running a business.
• Once implemented, the solution aids in maintaining a record of the equipment and stock condition.

This can aid the salesman in encouraging the buyer just a little bit more to make a purchase. In this situation, if there are difficulties, the solution checks them, fixes them, or, as soon as possible, forwards the problem to a human operator to avoid further delays. Additionally, it can gather and save staff data generated for use in the future. Cognitive automation can then be used to remove the specified accesses. “This is especially important now in the wake of the COVID-19 pandemic,” Kohli said.

The Uses of Intelligent Automation in Transportation and Logistics

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He led technology strategy and procurement of a telco while reporting to the CEO.

• The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term.
• In December 2021, Brillio, a US-based IT company acquired Cedrus Digital for an undisclosed amount.
• Workflow automation enables businesses to streamline and orchestrate critical processes by designing powerful workflows.
• Using only one type of club is never going to allow you to get that little white ball into the hole in the same way that using one type of automation tool is not going to allow you to automate your entire business end-to-end.
• It can use all the data sources such as images, video, audio and text for decision making and business intelligence, and this quality makes it independent from the nature of the data.
• Comidor offers seamless integration of intelligent business process automation into your daily operations.

“The whole process of categorization was carried out manually by a human workforce and was prone to errors and inefficiencies,” Modi said. The three main benefits of hyperautomation are increased profits, reduced expenses, and ensuring compliance. Results are likely to be higher quality and you’ll save time checking and correcting mistakes. Business leaders must remain committed to a change project in order to ensure its success. Change management sponsorship, in other words, can make or break any digital adoption program.

Main Challenges of Intelligent Automation

Largely powered by pre-programmed scripts and APIs, RPA tools can perform repetitive manipulations or process structured data inputs. However, even the most basic RPA solutions can save teams a tremendous amount of time and effort. For instance, automating three business processes with the help of RPA led to a 63% reduction in working hours for one bank. The Infosys Engineering, Procurement and Construction (EPC) practice undertakes cognitive process automation of repetitive tasks across business processes. It empowers EPC enterprises managing large-scale infrastructure development, energy, utilities, and mining projects to simplify a broad spectrum of effort-intensive back office tasks.

Also, when considering the implementation of this technology, a comprehensive business case must be developed. Moreover, if a case study is not done, it will be useless if the returns are only minimal. Resource intensive tasks such as email management, invoice management and report generation can be automated effectively.

Why Hyperautomation is the future of Intelligent Automation?

According to the global Statista survey, 39% of respondents share the opinion that intelligent automation is implemented in their enterprises to streamline operational activities. RPA worldwide revenue is growing constantly as it’s seen in the chart below. While chatbots are gaining popularity, their impact is limited by how deeply integrated they are into your company’s systems. For example, if they are not integrated into the legacy billing system, a customer will not be able to change her billing period through the chatbot.

Because AI can simulate forms of human intelligence, hyperautomation can process higher-level tasks that require a certain level of reasoning, judgment, decision making, and analysis. Automation is best viewed as a continuous process that moves from “doing” to “thinking” and from process focus to data focus. As human workers move from repetitive, high-volume tasks to activities that require sharper cognitive insight, more complex automation technologies are needed.

How is Intelligent Process Automation Different From Robotic Process Automation?

In contrast, hyperautomation is more scalable as it leverages technologies like AI and machine learning, which can process large amounts of data. It can scale to meet the needs of different organizations, making it a flexible approach to automation. These processes can be any tasks, transactions, and activity which in singularity or more unconnected to the system of software to fulfill the delivery of any solution with the requirement of human touch. So it is clear now that there is a difference between these two types of Automation. Let us understand what are significant differences between these two, in the next section.

The bot is capable of learning by observing human employees performing tasks. It’s armed with language and image processing tools that allow IQ Bot to recognize low-resolution documents and read in 190 languages. Bots may require nearly no coding knowledge to configure and accomplish some simple task. Partially, that’s possible because of the screen recording and scraping that allows bots to learn what a real user clicks/opens/drops by observing real employees doing that.

Our customers are our biggest fans

The enterprise RPA tools also provide detailed statistics on user logging, actions, and each completed task. As a result, it ensures internal security and complies with industry regulations. This requires the use of technologies, tools, or platforms such as AI, machine learning, RPA, business process management (BPM), and intelligent business process management suites, among other tools. Cognitive automation should be used after core business processes have been optimized for RPA. RPA has helped organizations reduce back-office costs and increase productivity by performing daily repetitive tasks with greater precisions.

By combining RPA with AI and cognitive technologies, IA lets you automate many more processes and gain far more efficiency. Since the CPA bot now takes care of most of the day to day tasks so your employees get to be more productive and focus on only high-skilled tasks that require greater cognitive abilities. With our help your applications can now go on autopilot as most of the tasks get done faster and you reap the benefits of a more focused, productive workforce.