6 cognitive automation use cases in the enterprise

cognitive process automation examples

Employee time would be better spent caring for people rather than tending to processes and paperwork. The cognitive enterprise organically integrates customer-focused teams, with operation staff to analyze workflows to achieve new levels of agility and customer experiences. As mentioned earlier, the technology can be used to enhance customer interactions by implementing robotic process automation. Robotic process automation (RPA) is a form of software used to automate repetitive, rule-based tasks – like moving files and folders or extracting data from documents.

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The state of AI in 2022—and a half decade in review.

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The pressure on ITSM teams has increased dramatically with the widespread adoption of remote work. Greater reliance on cloud-based applications and virtual desktops also multiplied their scope of work. To enhance your ITSM capabilities we recommend looking at comprehensive solutions such as ServiceNow, rather than standalone RPA tools. ServiceNow comes with an array of native digital process automation capabilities, metadialog.com low/no-code tools, as well as the ability to add custom process automation for company-specific workflows. The projects of Infopulse clients also suggest that RPA adoption across different functions drives significant gains in productivity, customer experience, and business unit performance. The benefits above are particularly prominent when RPA tools are deployed for the following types of business processes.

Intelligent Process Automation

It also suggests a way of packaging AI and automation capabilities for capturing best practices, facilitating reuse or as part of an AI service app store. Employee onboarding is another example of a complex, multistep, manual process that requires a lot of HR bandwidth and can be streamlined with cognitive automation. Karev said it’s important to develop a clear ownership strategy with various stakeholders agreeing on the project goals and tactics. For example, if there is a new business opportunity on the table, both the marketing and operations teams should align on its scope. They should also agree on whether the cognitive automation tool should empower agents to focus more on proactively upselling or speeding up average handling time. By enabling the software bot to handle this common manual task, the accounting team can spend more time analyzing vendor payments and possibly identifying areas to improve the company’s cash flow.


After profound research, our AI scientists have already developed more than 50 unique algorithms and components to lay a solid foundation for cognitive business automation. «Budget Friendly All-in-One Suite» – Our business has benefited from 500apps’ ability to keep track of everything that is relevant. However, in the long run, Cognitive intelligence produces the most effective for organizations than RPAs. In a hospital setting, RPA can count the number of patients in a ward or with a particular diagnosis. While cognitive analysis can diagnose ailments, prescribe medications and monitor the health of patients.

The Uses of Intelligent Automation for Telecoms

But the digital values delivered, will influence greatly the top-line and the bottom-line of the bank. The insurance sector soon discovered how this technology could be used for processing insurance premiums. Typically, when brokers sell an insurance policy, they send notices using a variety of inputs, such as email, fax, spreadsheets and other means, to an intake organization. According to a report by Markets and Markets, Intelligent Automation is one of the biggest trends in the business world as of 2021, with the market poised to grow from USD 6.25 billion in 2017 to USD 13.75 billion by 2023.

cognitive process automation examples

Business leaders, department managers and process owners in the B2B world have begun to see their day to day work lives change because of this rise in consumer convenience and customer expectations. There are geographic implications to the trend in robotic automation. On this basis, developed economies – with skills and technological infrastructure to develop and support a robotic automation capability – can be expected to achieve a net benefit from the trend. Robots exist in other forms in technology, as detailed by Olive’s blog that also touches upon Robotic Process Automation.


You can try out Pega’s RPA tools if you want scalability, rapid innovation, and future-proof technology. Database maintenance, frequent security checks of storage silos, backing up restore points automatically, etc., are some examples of back-end RPA bots. We talk about the recent developments in the field, as well as where it all started. The EFS is cleaned automatically after the processing is done, and all the reusable files are moved to S3.

cognitive process automation examples

Employ your first Digital Coworker in as little as three weeks and see your break-even point in as little as four months. Splunk provided a solution to TalkTalk and SaskTel wherein the entire backend can be handled by the cognitive Automation solution so that the customer receives a quick solution to their problems. Postnord’s challenges were addressed and alleviated by Digitate’s ignio AIOps Cognitive automation solution. It ensures that their systems are always up and running for smooth operations. An organization spends a large amount of time getting the employee ready to start working with the needed infrastructure. ServiceNow’s Cognitive Automation solution has helped Asurion to ease this process.

For more on intelligent automation

Cognitive automation can be a more effective system for keeping the promise on order management. With its set of technological capabilities, including working with legacy systems, it lets customers see more personalization and speed, even when they deal with the supply chains that suffer from extensive complexity due to globalization. Cognitive automation goes one step further, extending workers’ analytical capabilities, which when scaled across an organization fire up big ideas that fuel business growth. The so-called ‘eyes’ workers deal with scaling and performance, and the ‘decision’ workers deal with the whole timeline representations.

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Computer vision is the capacity of the computer to be able to understand from digital data like images, documents, or any computer screen, etc. In cognitive computing, a system uses the following capabilities to provide suggestions or predict outcomes to help a human decides. Similarly, in the software context, RPA is about mimicking human actions in an automated process. Applications are bound to face occasional outages and performance issues, making the job of IT Ops all the more critical. Here is where AIOps simplifies the resolution of issues, even proactively, before it leads to a loss in revenue or customers. However, reliance on human interaction is still a big issue – a problem which can probably be solved with the help of artificial intelligence.

What Robotic Process Automation and Cognitive Automation Can’t Do

An RPA bot uses cognitive tools to learn how to complete a repetitive and rules-based task like copy-pasting data from a database to an Excel sheet. Workflow automation based on If Then Else has been the leader of automation for a long time. However, businesses processing huge data and information in back-end offices needed more convenient, fast, and flexible automation.

  • In 2017, the largest area of AI spending was in cognitive applications.
  • According to experts, cognitive automation falls under the second category of tasks where systems can learn and make decisions independently or with support from humans.
  • However, in a nascent project, the technology can take time to train.
  • Cognitive business automation is real — and you can start using it today.
  • This implies a significant decrease in false positives and an overall enhanced reliability of autonomous transaction monitoring.
  • Digital labor adoption has become the priority initiative in most organizations.

RPA and Cognitive intelligence are automation that increase your productivity in the short and long run. The next step in launching an AI program is to systematically evaluate needs and capabilities and then develop a prioritized portfolio of projects. In the companies we studied, this was usually done in workshops or through small consulting engagements.

Why automation is the future of open enrollment in the US healthcare industry

We’ve combined best practices of deep learning, cognitive science, computer vision, probabilistic AI, and math modeling and developed an entirely new approach to video content analysis and decision making. We integrated science into modern digital technology to imitate human behavior by emulating not only human eyes but also human brains. Our AI scientists have come up with an idea on how to reduce, with the help of cognitive automation together with the unified and well-structured workflow, time, and costs of video processing and post-production. With cognitive intelligence, you move automation to the next level by technically processing the end products of RPA tasks.

cognitive process automation examples

What is the cognitive process of AI?

Artificial Intelligence

Cognitive Computing focuses on mimicking human behavior and reasoning to solve complex problems. AI augments human thinking to solve complex problems. It focuses on providing accurate results. It simulates human thought processes to find solutions to complex problems.

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