What Is Cognitive Automation: Examples And 10 Best Benefits

“Cognitive automation refers to automation of judgment- or knowledge-based tasks or processes using AI.” For instance, at a call center, customer service agents receive support from cognitive systems to help them engage with customers, answer inquiries, and provide better customer experiences. 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. Upon claim submission, a bot can pull all the relevant information from medical records, police reports, ID documents, while also being able to analyze the extracted information.

Businesses are increasingly adopting cognitive automation as the next level in process automation. These six use cases show how the technology is making its mark in the enterprise. “The biggest challenge is data, access to data and figuring out where to get started,” Samuel said. All cloud platform providers have made many of the applications for weaving together machine learning, big data and AI easily accessible.

What is Intelligent Automation: Guide to RPA’s Future in 2024

Then, the bot can automatically classify claims, issue payments, or route them to a human employee for further analysis. This way, agents can dedicate their time to higher-value activities, with processing times dramatically decreased and customer experience enhanced. AI is the perfect complement to RPA, together providing more accurate and efficient automation powered by an informed knowledge base.

Finally, you will see how the RPA mobile app can be used to study and edit the default CoE dashboard that is published via Bot Insight. Cognitive automation can uncover patterns, trends and insights from large datasets that may not be readily apparent to humans. The human brain is wired to notice patterns even where there are none, but cognitive automation takes this a step further, implementing accuracy and predictive modeling in its AI algorithm. Most importantly, this platform must be connected outside and in, must operate in real-time, and be fully autonomous. It must also be able to complete its functions with minimal-to-no human intervention on any level. Attempts to use analytics and create data lakes are viable options that many companies have adopted to try and maximize the value of their available data.

Intelligent networks and integrated service desk at Siemens Healthineers

One of their biggest challenges is ensuring the batch procedures are processed on time. Organizations can monitor these batch operations with the use of cognitive automation solutions. TCS’ Cognitive Automation Platform uses artificial intelligence (AI) to drive intelligent process automation across front- and back offices. It’s a suite of business and technology solutions that seamlessly integrate with existing enterprise solutions and offer easy plug and play features. TCS leverages its deep domain knowledge to contextualize the platform to a company’s unique requirements. Achieve fully automated first time resolution rates on 40-80% of all service requests by combining knowledge automation with robotic process automation for standard business processes.

SS&C Blue Prism enables business leaders of the future to navigate around the roadblocks of ongoing digital transformation in order to truly reshape and evolve how work gets done – for the better. All of these create chaos through inventory mismatches, ongoing product research and development, market entry, changing customer buying patterns, and more. This occurs in hyper-competitive industry sectors that are being constantly upset by startups and entrepreneurs who are more adaptable (or simply lucky) in how they meet ongoing consumer demand.

Uses for intelligent automation

ServiceNow’s onboarding procedure starts before the new employee’s first work day. It handles all the labor-intensive processes involved in settling the employee in. These include setting up an organization account, configuring an email address, granting the required system access, etc.

You will then explore Bot Insight’s user interface and features and learn how to deploy it using APIs. Next, you will explore the various roles who generate or view business analytics, cognitive automation solutions and learn how to generate them on Bot Insight. You will also explore the CoE Dashboard on Bot Insight and learn how to configure, customize, and publish this dashboard.