Robotic Process Automation and Cognitive Automation: Whats the Difference

RPA is a simple technology that completes repetitive actions from structured digital data inputs. Cognitive automation is the structuring of unstructured data, such as reading an email, an invoice or some other unstructured data source, which then enables RPA to complete the transactional aspect of these processes. 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.

Cognitive Robotic Process Automation is a holistic approach that encompasses technology, processes, and people to yield higher efficiency, better productivity, and increased scalability. The technology of robotic automation is integrated with the machine learning capabilities to form a mechanical ‘brain’, which can both direct and follow. This part of ‘analysis, understanding, and adaptation’ required manual intellect with the legacy RPA tools.

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Rule-based tasks that do not require analytics such as performing calculations, responding to inquiries, and maintaining records can all be done using RPA. Unlike cognitive automation, RPA relies on basic technologies that are easy to understand and complete, such as workflow automation and macro scripts. Cognitive RPA takes one step further with the help of artificial intelligence and deep learning. Now, with cognitive RPA, the robotic software is being integrated with human-like cognition so the responsibility of both planning and execution shift to the tool. Thus, the entire onus of performing an activity is entirely moved from human workforce to the cognitive RPA tools. In other RPA implementations, process mining and task mining tools are used to automatically capture business process workflows that serve as starting templates for RPA automations.

In the future, businesses will be able to capture value from RPA across multiple benefits levers including customer, growth and risk/control. Cognitive automation also improves business quality by making processes more efficient. Cognitive Automation and Robotic Process Automation have the potential to make business processes smarter and also more efficient. After implementing CRPA into their system, the company built conversational and process paths into their claims systems that automated connecting with claimants using two-way text messages. In the end, the company reduced the claims processing time from three weeks to one hour, saving the company roughly $11.5 million. Insurance intake teams and operations teams have, in the last few years, used RPA software to run the structured parts of the intake and claims process.

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Specifically, these teams would organize incoming data and then feed that data to back-end software bots. The bots would then collate this information into systems of records to complete the workflow. ABB is a technology leader in electrification and automation, enabling a more sustainable and resource-efficient future. The company’s solutions connect engineering know-how and software to optimize how things are manufactured, moved, powered and operated. Building on more than 140 years of excellence, ABB’s ~105,000 employees are committed to driving innovations that accelerate industrial transformation. Other AI governance tools will help enterprises manage the overall process for streamlining processes in ways that ensure trusted AI.

These systems require proper setup of the right data sets, training and consistent monitoring of the performance over time to adjust as needed. Cognitive automation is also starting to enhance operational excellence by complementing RPA bots, conversational AI chatbots, virtual assistants and business intelligence dashboards. “With cognitive automation, CIOs can move the needle to high-value, high-frequency automations and have a bigger impact on the bottom line,” said Jon Knisley, principal of automation and process excellence at FortressIQ.

robotic process automation (RPA)

However, the integration of cognitive technologies with RPA makes it possible to extend automation to processes that require perception or judgment. The insurance industry has already initiated the adoption of automation for enhancing its customer service capabilities, as well as employee engagement activities. Through robotic process automation, the insurance companies can automate their task of fraud checking and policy renewal, along with calculating premiums and gathering data. Software robots can work consistently for long durations, and hence, help in increasing the productivity, and efficiency of the business.

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