One of the most exciting ways to put these applications and technologies to work is in omnichannel communications. Today’s customers interact with your organization across a range of touch points and channels – chat, interactive IVR, apps, messaging, and more. When you integrate RPA with these channels, you can enable customers to do more without needing the help of a live human representative. Or, dynamic interactive voice response (IVR) can be used to improve the IVR experience. It adjusts the phone tree for repeat callers in a way that anticipates where they will need to go, helping them avoid the usual maze of options.

cognitive process automation

Finally, a cognitive ability called machine learning can enable the system to learn, expand capabilities, and continually improve certain aspects of its functionality on its own. Improve Business Process Management by monitoring and analyzing processes on a real-time basis. Process Intelligence makes business processes more intelligent for better and faster decisions through analyzing real-time data.

End-to-end customer service (Religare)

An automated sub-process can lead to the next level of automation opportunity and can follow a path to higher orders of cognitive computation. An automation excellence center, which continuously evaluates the end-to-end process, will be effective to find automation opportunities and cascade change requests during the process life cycle management. There are over 180 processes currently being automated using the platform.

How Robotic Process Automation Is Transforming BPO Landscape? –

How Robotic Process Automation Is Transforming BPO Landscape?.

Posted: Sun, 23 Apr 2023 07:00:00 GMT [source]

Created by leaders at AIG and Mars with decades of automation experience under their belt, the Co-Founders of Roots Automation have pre-built, plug-and-play Digital Coworker bots across Finance, Operations, Underwriting, Claims, cognitive process automation Human Resources, etc. A digital workforce, like a human workforce, is pre-trained and ready to work for you. These bots specialize in their field just as an Underwriter, Loan Officer, or Accounts Payable Specialist does.

AI Powered, Analytics Based Intelligent Automation

It can carry out various tasks, including determining the cause of a problem, resolving it on its own, and learning how to remedy it. According to experts, cognitive automation is the second group of tasks where machines may pick up knowledge and make decisions independently or with people’s assistance. Manual duties can be more than onerous in the telecom industry, where the user base numbers millions. A cognitive automated system can immediately access the customer’s queries and offer a resolution based on the customer’s inputs. A new connection, a connection renewal, a change of plans, technical difficulties, etc., are all examples of queries.

All the information are sent to the RPA robot and it “uses” these data in the process. Mobile applications are have become a natural extension of web applications. While this sounds simple, it presents a major engineering challenge to mobile developers, and in turns requires a unique Quality Engineering strategy to define success.

Handling exceptions with cognitive RPA

This means that apart from creating better employee experiences at lower costs you can actually integrate data silos and start generating great insights. So far the E42 CPA platform has successfully integrated with various intranets, Whatsapp, HTML pages, Workday, Slack, Skype, Skype for business, Teams, and various other chat and collaborative platforms. Intelligent automation streamlines processes that were otherwise comprised of manual tasks or based on legacy systems, which can be resource-intensive, costly, and prone to human error.

cognitive process automation

These enterprise processes can be classified by verticals or functions. Normally that’s done because IT systems are made and sold that way for the last 50 years! Here we will have an HCM or HRMS that keeps track of the employee, every time he/she shows up or doesn’t, needs leave, or who he/she reports to, or makes a claim for an expense incurred for the enterprise, etc. Now if that employee is in Sales he/she will also be connected to various sales-related processes like the number of leads generated, the volume of the sales funnel, targets, etc. Another vertical segment taking advantage of cognitive automation is the manufacturing industry.


RPA works on semi-structured or structured data, but Cognitive Automation can work with unstructured data. So now it is clear that there are differences between these two techniques. These are some of the best cognitive automation examples and use cases.

What is cognitive document automation?

Cognitive document automation uses a variety of artificial intelligence (AI) capabilities, such as natural language processing (NLP) and machine learning, to cluster, classify, separate, OCR, extract, and understand (human language) any type of document.

A software robot works as an agent that emulates and integrates the actions of a human, interacting within a platform to perform a variety of repetitive tasks. Thanks to automation, administrative, rule-based, and time-consuming tasks can be fully automated, leading to high employee productivity. AI supplements RPA with cognitive technologies like natural language processing (NLP), optical character recognition (OCR), and computer vision, thus achieving end-to-end automation. Intelligent automation platforms play a crucial role in optimizing an automated process, as they provide valuable analytics, spot and resolve bottlenecks, and make improvement recommendations. Intelligent Automation has become a top priority in the digital transformation strategy for almost all organizations. Powered by Robotic Process Automation (RPA), Artificial Intelligence and Machine Learning (AI/ML), and Business Process Management (BPM) software, intelligent automation creates a new business environment of humans and machines working together.

Data Science Consulting

With the automation of repetitive tasks through IA, businesses can reduce their costs as well as establish more consistency within their workflows. The COVID-19 pandemic has only expedited digital transformation efforts, fueling more investment within infrastructure to support automation. Individuals focused on low-level work will be reallocated to implement and scale these solutions as well as other higher-level tasks. Middle managers will need to shift their focus on the more human elements of their job to sustain motivation within the workforce.

What are the benefits of cognitive RPA?

Cognitive RPA can help set up automated workflows to process invoices and vendor payments automatically. Automating critical invoice processing using cognitive RPA reduces cycle time and eliminates errors resulting from manual human intervention.