What Is Cognitive Automation: Examples And 10 Best Benefits

by | Jan 9, 2023 | 0 comments

cognitive process automation examples

Understanding these key aspects will provide a structure to determine what automation technologies are required and how to vet them. To address these issues, automation experts have developed a new technology that can mimic human operators. This is robotic process automation or RPA and it will transform the way businesses process data, information, service requests, and more. Our solution it.document handling suite helps you with streamlined invoicing, and approved document management. It’s based on RPA software, cognitive technology and artificial intelligence and gets smarter the more documents it handles.

cognitive process automation examples

For example, cognitive automation can be used to autonomously monitor transactions. While many companies already use rule-based RPA tools for AML transaction monitoring, it’s typically limited to flagging only known scenarios. Such systems require continuous fine-tuning and updates and fall short of connecting the dots between any previously unknown combination of factors. We hope metadialog.com this post achieves its objective at sharing some insights into the recent development in business process automation. Should you have more thoughts and experience to share with us and our readers, feel free your comments. From the above 2 examples, it’s easy to observe that the biggest benefit of RPA is savings in time and cost on repetitive tasks otherwise performed by human.

Is RPA a Cognitive Technology?

For example, most RPA solutions cannot cater for issues such as a date presented in the wrong format, missing information in a form, or slow response times on the network or Internet. In the case of such an exception, unattended RPA would usually hand the process to a human operator. Cognitive automation does move the problem to the front of the human queue in the event of singular exceptions. Therefore, cognitive automation knows how to address the problem if it reappears. With time, this gains new capabilities, making it better suited to handle complicated problems and a variety of exceptions. It can carry out various tasks, including determining the cause of a problem, resolving it on its own, and learning how to remedy it.

  • We believe that every large company should be exploring cognitive technologies.
  • Injected projects often fail, which can significantly set back the organization’s AI program.
  • Cognitive automation is an umbrella term for software solutions that leverage cognitive technologies to emulate human intelligence to perform specific tasks.
  • There will also be shared services, meeting rooms to be booked, learning and development, upskilling, etc.
  • Imagine RPA bots transporting hundreds of pieces of information to multiple software systems.
  • With such extravagant growth predictions, cognitive automation and RPA have the potential to fundamentally reshape the way businesses work.

Workflow automation, screen scraping, and macro scripts are a few of the technologies it uses. Depending on where the consumer is in the purchase process, the solution periodically gives the salespeople the necessary information. This can aid the salesman in encouraging the buyer just a little bit more to make a purchase. To assure mass production of goods, today’s industrial procedures incorporate a lot of automation.

Using automation to get the best of Human Resources

Optical character recognition (OCR) is a machine learning method for extracting text from images. These can include any images, including those in textbooks, graffiti, license plates, signs and more. Our OCR algorithm transforms scanned documents into text files, which can then be read by a computer and used to search for patterns and vital data. OCR lets business users analyze large amounts of documentation, particularly those with high daily volumes such as invoices, receipts, medical records, media releases and more—even if they are handwritten.

  • Here is a list of some use cases that can help you understand it better.
  • He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
  • Secondly, and conversely, BPO providers have previously relocated outsourced operations to different political and geographic territories in response to changing wage inflation and new labor arbitrage opportunities elsewhere.
  • RPA operates most of the time using a straightforward “if-then” logic since there is no coding involved.
  • After realizing quick wins with rule-based RPA and building momentum, the scope of automation possibilities can be broadened by introducing cognitive technologies.
  • Once implemented, the solution aids in maintaining a record of the equipment and stock condition.

This highly advanced form of RPA gets its name from how it mimics human actions while the humans are executing various tasks within a process. Such processes include learning (acquiring information and contextual rules for using the information), reasoning (using context and rules to reach conclusions) and self-correction (learning from successes and failures). For instance, Religare, a well-known health insurance provider, automated its customer service using a chatbot powered by NLP and saved over 80% of its FTEs.


It is one of the most powerful tools businesses can leverage to increase productivity, standardize and automate sales, marketing, and service processes while improving customer satisfaction. Robotic Process Automation (RPA) enables task automation on the macro level, standardizing workflow, and speeding up some menial tasks that require human labor. On the other hand, Cognitive Process Automation (CPA) is a bit different but is very much compatible with RPA.


By using AI algorithms to analyze data and make decisions, intelligent automation systems can learn and adapt to changing circumstances, resulting in more accurate and efficient processes. Compared to other types of artificial intelligence, cognitive automation has a number of advantages. Cognitive automation solutions are pre-trained to automate specific business processes and require less data before they can make an impact.

Know your processes

The use of RPA and Cognitive Automation can automate mundane and repetitive tasks, allowing employees to focus their energy on more complex and creative tasks. This can result in increased job satisfaction and improved productivity. In addition, these technologies can reduce human errors and help streamline processes, leading to cost savings and improved customer service.

  • The above-mentioned examples are just some common ways of how enterprises can leverage a cognitive automation solution.
  • Such processes include learning (acquiring information and contextual rules for using the information), reasoning (using context and rules to reach conclusions) and self-correction (learning from successes and failures).
  • These seen and unforeseen factors negatively impact order management, causing the situations that customers hate.
  • You can check our article on intelligent automation in finance & accounting for more examples.
  • With RPA adoption at an all-time high (and not even close to hitting a plateau), now is the time business leaders are looking to further automation initiatives.
  • Cognitive automation should be used after core business processes have been optimized for RPA.

Intelligent automation is a powerful technology that can empower businesses to stay ahead of the competition. Fortunately, the day isn’t far when this technology will disrupt the current business environment and will be seen extensively used for numerous industrial applications. For any organization, the employee onboarding and off-boarding process is often a tedious task that requires tremendous amounts of time, effort and resources. At the time of onboarding, the primary necessity is the training, paperwork and task delegation process. In contrast, at the time of off-boarding, an enterprise has to obtain a resignation and look into the full and final settlement, ensure the safe return of the company property, issue the relieving letter, the tax receipt etc.

Automated business process management – in times of digital transformation using machine learning or artificial intelligence

This remains a very error-prone process in insurance, facilities, finance, and others. While data analytics will surely be viewed by human agents, there are spheres that can be potentially carried by bots. For example, scaling the number of working bots or bot allocation are the optimization tasks that can be automated using ML algorithms. Since traditional RPA – that works with interfaces – can’t deal with interface changes, ML-based systems can help accommodate for minor interface alterations and keep a bot working. This also means that an ML-based system can be trained to recognize standard interface content, like texts, forms, and buttons to reduce human involvement in preparing these bots for production use.

cognitive process automation examples

Consider consulting an experienced automation software solution company to properly identify, and avoid these problems. Strickland Solutions has been helping businesses achieve their goals since 2001. We take pride in our ability to correctly overcome all the potential challenges faced by our clients, and our ability to meet their expectations and add value to their business. To increase accuracy and reduce human error, Cognitive Automation tools are starting to make their presence felt in major hospitals all over the world. With the implementation of these tools, hospitals can free up one of the most important resources they have, human capital.

Cognitive Computing for the Media & Entertainment Industry Automation

RPA enables organizations to hand over works with routine processes to machines—that are capable—so humans can focus on more dynamic tasks. With Robotic Process Automation, business corporations efficiently manage costs by streamlining the process and achieving accuracy. Also, humans can now focus on tasks that require judgment, creativity and interactional skills. In time, cognitive technologies will transform how companies do business.

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With RPA + Fraud detection, financial institutions will be able to gather information on user’s transactions from different sources, process the information, and feed into analysis systems and do predictive analysis. This enables to track any fraudulent transaction and red flags which can be notified to the relevant authorities. For instance, while RPA has the property to be able to read data from webpages or desktop applications, traditional RPA lacks the functionality to be able to read from Virtual Desktop Interface. This proves hindrance and processes that need to invoke VDI fall out of the RPA radar.

What are 5 examples of automation?

  • Automobile.
  • Kitchen Tools.
  • Consumer Electronics.
  • FASTags.
  • Power Backup Devices.
  • Arms and Ammunition.
  • Medical.
  • Entertainment.