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Intelligent automation vs robotic process automation

cognitive automation solutions

However, we are already starting to see increased usage of Cognitive Automation or Artificial Intelligence to make use of unstructured data to unleash the power of big data and analytics. Less human touches in complex processes leads to widespread cost savings and more cost-effective workflows. Luis started his career as a C++ and Java software engineer in Mexico City where he grew up and still enjoys coding in his spare time as a way to stay up to date with the latest technologies and platforms. After working in Minnesota for a while, he moved to London in 2004 where he settled with his family. Luis has a Computer Science degree, an MBA from Ashridge Hult, and current certifications from the leading RPA & Cognitive software vendors, Process Mining, and complementing cloud platforms. Intelligent Automation improves a company’s bottom line with benefits such as boosted productivity, enhanced accuracy, and shortened turnaround times.

For instance, intelligent automation can assist customer care staff perform their duties better by automating logins or ordering tasks in a manner that ensures customers receive improved and faster service. Other examples where intelligent automation can

be applied include account closure, triggering notifications, blocking accounts, and managing account transfers to help improve operational efficiency and overall customer experience. IT Automation contextualized to use cases and business outcomes is likely to lead to positive outcomes and measurable benefits for the organization. Despite its transformational capabilities and massive investments to embed automation in the organization’s systems and processes, few banks have succeeded in leveraging automation technologies across the organization.


In collaboration of our process engineering services we can quickly identify the repetitive tasks that benefit the most from this type of technology. Over time we often develop a suite of tools that agents can use to significantly reduce their average handling time. Reporting can be a very time-consuming task within a HR department and is the perfect example of a HR process that can be optimised using automation. Business process automation can be implemented to automatically generate reports, compile data from multiple systems and format reports in a way that is easily digestible. Preeti leads the Automation service line in Invenics and oversees all aspects of the delivery process – from design, development to deployment. She helps create digital transformation roadmaps for customers and is actively involved in developing and building our offshore development / technical sales teams building relationships with our automation partners.

How do you create an automated solution?

  1. Define the challenge you want to solve. Most organisations have processes in place that are outdated or could simply be more efficient.
  2. Understand the solutions and choose the right one.
  3. Design your user interface.
  4. Create a workflow.
  5. Test it out.

Another vertical segment taking advantage of cognitive automation is the manufacturing industry. Chart Industries, a manufacturing firm within the energy sector, utilizes CRPA to enable their accounting division to be more efficient and cost-effective cognitive automation solutions — a use case which any business in any industry can capitalize on. Chart allocated multiple different back offices to handle accounts payable, accounts receivable and other tasks, resulting in unaligned processes and procedures.

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Fujitsu has reimagined the CoE to deliver an industrialised Automation Operating Model to overcome these new challenges comprising an Agile Automation Factory with modular, self-organising delivery pods that may be easily scaled. TGC also incorporates the cognitive automation solutions benefits of AIOPS or Artificial Intelligence for Operations Management solutions that enables you with a single pane of glass to view all your IT operations in real-time. This helps you identify and resolve issues quickly, before they impact performance.

cognitive automation solutions

The natural language processing (NPL) and contextual element of intelligent automation enables organisations to provide personalised experiences through customisable and automated customer support, data analysis and query resolution. While RPA can help to schedule appointments, notify shipping and tracking status’, it cannot handle sophisticated objection handling that customers often require. Through a cognitive process, it learns how they work and can recommend or apply these learnings in future document processing. This solution supports any business document and any format within all order-to-cash (O2C) and procure-to-pay (P2P) processes. Imagine the competitive advantage of a manufacturing automation that predicts an imminent breakdown, orders the parts, and schedules the maintenance—all based on the collection of daily business data and requiring no time from a human expert.

Or a financial close operation that understands context in text and stores documents to meet regulatory compliance. Examples abound in industries as different as banking, shipping logistics, or fashion retail. The advantages continue as the machine learning algorithms that drive intelligent automation constantly learn from their data sets, improving or suggesting process design optimizations over time. Fundamentally speaking, IPA is a burgeoning collection of cutting-edge technology that blends fundamental process redesign with robotic process automation and machine learning. The knowledge worker is helped by this set of business process improvements and next-generation tools by having repetitive, reproducible, and routine duties eliminated.

cognitive automation solutions

Speed and scale can come from harnessing the cloud, creating continuous automation and reducing error rates in those processes. Organisations worldwide are rethinking ways to accelerate digital transformation and avoid disruption. Done right, automation can help build a human-centric experience in the workplace, where people are more empowered to do more important work.

“Information capture has advanced a long way since the advent of Optical Character Recognition (OCR) and Digital Repositories (EDMS Electronic Document Management Systems). Modern business applications require pre-validated and structured data as input so it is readily available for use in decision making and driving business processes…. Contrary to RPA, intelligent automation works with unstructured data and context-rich scenarios, enabling it to drive smart informed decision-making, personalise interactions and execute real-time analysis – sometimes better than humans. Intelligent automation and robotic process automation – two powerful automation technologies – may sound similar, but possess a very different set of capabilities, features and benefits. Being able to differentiate and understand the differences between both technologies can be a defining factor for organisational success.

  • We can assist you in planning and designing the solution with less disruption to your business teams.
  • However, with the integration of RPA, chatbots can effectively navigate through legacy enterprise systems that do not have modern APIs.
  • Intelligent automation systems are designed to help businesses work more efficiently.
  • We offer a smart technology service that analyses your firm’s technical understanding and restrictions and generates a result depending on the specific range you specify.
  • US bank PNC Financial uses the system to automate approvals for certain loan types.

What are examples of cognitive tools?

Examples of cognitive tools include: databases, spreadsheets, semantic networks, expert systems, communications software such as teleconferencing programs, on-line collaborative knowledge construction environments, multimedia/ hypermedia construction software, and computer programming languages.

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