6 cognitive automation use cases in the enterprise

Top 10 Cognitive Automation Applications for Businesses in 2021

cognitive automation tools

However, as those processes are automated with the help of more programming and better RPA tools, processes that require higher level cognitive functions are next in the line for automation. In 2020, Gartner reportedOpens a new window that 80% of executives expect to increase spending on digital business initiatives in 2022. In fact, spending on cognitive and AI systems will reach $77.6 billion in 2022, according to a report by IDCOpens a new window . Findings from both reports testify that the pace of cognitive automation and RPA is accelerating business processes more than ever before.

These tasks can range from answering complex customer queries to extracting pertinent information from document scans. Some examples of mature cognitive automation use cases include intelligent document processing and intelligent virtual agents. “Cognitive automation is not just a different name for intelligent hyper-automation,” said Amardeep Modi, practice director at Everest Group, a technology analysis firm. “Cognitive automation refers to automation of judgment- or knowledge-based tasks or processes using AI.” By eliminating the opportunity for human error in these complex tasks, your company is able to produce higher-quality products and services. The better the product or service, the happier you’re able to keep your customers.

Multiply value of automation

The organization can use chatbots to carry out procedures like policy renewal, customer query ticket administration, resolving general customer inquiries at scale, etc. Processors must retype the text or use standalone optical character recognition tools to copy and paste information from a PDF file into the system for further processing. Cognitive automation uses technologies like OCR to enable automation so the processor can supervise and take decisions based on extracted and persisted information.

For example, a cognitive automation application might use a machine learning algorithm to determine an interest rate as part of a loan request. Another viewpoint lies in thinking about how both approaches complement process improvement initiatives, said James Matcher, partner in the technology consulting practice at EY, a multinational professional services network. Process automation remains the foundational premise of both RPA and cognitive automation, by which tasks and processes executed by humans are now executed by digital workers.

How Cognitive Automation Helps Humans Find the Purpose of Their Work

Customer service representatives are happier in their jobs and more productive when they are assisted with their automation and/or freed up from repetitive tasks to focus on solving problems as needed. Enterprise automation software leverages technologies uch as robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), and business process management (BPM). Unlike other types of AI, such as machine learning, or deep learning, cognitive automation solutions imitate the way humans think. This means using technologies such as natural language processing, image processing, pattern recognition, and — most importantly — contextual analyses to make more intuitive leaps, perceptions, and judgments.

cognitive automation tools

As new vendors join the market, they build new features and create new jargon to position themselves as category creators which gives them more pricing power. You might even have noticed that some RPA software vendors — Automation Anywhere is one of them — are attempting to be more precise with their language. Rather than call our intelligent software robot (bot) product an AI-based solution, we say it is built around cognitive computing theories. Levity is a tool that allows you to train AI models on images, documents, and text data. You can rebuild manual workflows and connect everything to your existing systems without writing a single line of code.‍If you liked this blog post, you’ll love Levity.

Introducing process automation tools

According to IDC, in 2017, the largest area of AI spending was cognitive applications. This includes applications that automate processes that automatically learn, discover, and make recommendations or predictions. Overall, cognitive software platforms will see investments of nearly $2.5 billion this year.

“The problem is that people, when asked to explain a process from end to end, will often group steps or fail to identify a step altogether,” Kohli said. To solve this problem vendors, including Celonis, Automation Anywhere, UiPath, NICE and Kryon, are developing automated process discovery tools. 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. With the renaissance of Robotic Process Automation (RPA), came Intelligent Automation. In simple terms, intelligently automating means enhancing Business Process Management (BPM) and RPA with AI and ML. In the highest stage of automation, these algorithms learn by themselves and with their own interactions.

“Go for cognitive automation, if a given task needs to make decisions that require learning and data analytics, for example, the next best action in the case of the customer service agent,” he told Spiceworks. Whether it be RPA or cognitive automation, several experts reassure that every industry stands to gain from automation. According to Saxena, the goal is to automate tedious manual tasks, increase productivity, and free employees to focus on more meaningful, strategic work. “RPA and cognitive automation help organizations across industries to drive agility, reduce complexity everywhere, and accelerate value of technology investments across their business,” he added. Traditional RPA is mainly limited to automating processes (which may or may not involve structured data) that need swift, repetitive actions without much contextual analysis or dealing with contingencies.

cognitive automation tools

This chatbot can have quite an influence on how your employees experience their day-to-day duties. It can assist them in a more natural, more engaging, and ultimately, more human way. The employee simply asks a question and Leia answers the question with specific data, recommends a useful reading source, or urges the user to send an email to the administrator. As a cloud-native accounting software

built on the Microsoft Power Platform, Gravity remains at

the forefront of technological innovation. Gravity’s Accounts Payable Automation with AI

technology is set to deliver substantial cost savings and

operational efficiencies for businesses of all sizes. With a simple

click, Gravity’s system generates vouchers, automatically attaching

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Invest in intelligent process automation

Many of them have achieved significant optimization of this challenge by adopting cognitive automation tools. Key distinctions between robotic process automation (RPA) vs. cognitive automation include how they complement human workers, the types of data they work with, the timeline for projects and how they are programmed. While there are clear benefits of cognitive automation, it is not easy to do right, Taulli said. CIOs need to create teams that have expertise with data, analytics and modeling. Then, as the organization gets more comfortable with this type of technology, it can extend to customer-facing scenarios.

  • Digitate‘s ignio, a cognitive automation technology, helps with the little hiccups to keep the system functioning.
  • Like other tools, it also gets smarter with every interaction and findings.
  • It infuses a cognitive ability and can accommodate the automation of business processes utilizing large volumes of text and images.
  • Contact us today to learn more about cognitive automation technologies and how to implement them in your organization.
  • However, it also increases the complexity of the technology used to perform those tasks, which is bad, argued Chris Nicholson, CEO of Pathmind, a company applying AI to industrial operations.

By adding apps and integrations, businesses can customize intelligent automation from end-to-end to effectively serve customers and departments with unique needs. BPM is a discipline that relies on various software and processes to manage a business’s operations, including modeling, analysis, optimization, and automation. RPA strategy considerations

RCA requires additional controls beyond those governing RPA. While RPA functionality is static, RCA is dynamic and constantly gaining “experience” as it learns from new data. Organizations need the ability to constantly validate RCA systems at a frequency of risk, as well as to monitor how tools are evolving. Controls need to be in place to check cognitive systems when they go beyond established boundaries if allowed.

While most major automation projects in the 2000s involved IT system upgrades, currently there are numerous tools to automate tasks without major system upgrades. Improvements in machine vision, OCR and machine learning enabled bots to understand user interfaces and perform actions like human users. The pace of cognitive automation and RPA is accelerating business processes more than ever before. Here are the important factors CIOs and business leaders need to consider before deciding between the two technologies.


For example, making decisions, understanding context, and personalizing responses. Using data, AI continuously learns, making it a powerful tool for problem-solving. Intelligent document processing (IDP) software enables companies to automate processing unstructured data such as documents, forms, and images and convert them into usable structured data. Taking into account the latest metrics outlined below, these are the current intelligent automation solutions market leaders.

cognitive automation tools

Spending on cognitive-related IT and business services will be more than $3.5 billion and will enjoy a five-year CAGR of nearly 70%. In contrast, cognitive automation or Intelligent Process Automation (IPA) can accommodate both structured and unstructured data to automate more complex processes. Thus, cognitive automation represents a leap forward in the evolutionary chain of automating processes – reason enough to dive a bit deeper into cognitive automation and how it differs from traditional process automation solutions.

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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. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem’s work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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