NTT DATA Business Solutions
Learn how RPA Technology is Bringing Intelligent Process Automation to Work
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. Rather than leave those tasks to human employees, RPA bots can perform them on demand, in a fraction of the time it might otherwise take.
They are a tool that enables organizations to create efficiencies in their operations through intelligent automation. They’re simple to set up and work on any platform.
With 15,000 incoming invoices per year, the manual process of handling invoices had become too great – a challenge for the Dutch Mechan Groep, who supply world-leading brands in the tractor and agricultural equipment sector. The company was faced either with employing more resources to handle routine invoice management or with transferring operation to software robots to automate and streamline the task. Mechan Groep decided to implement it.capture from NTT DATA Business Solutions, which is based on robot software and artificial intelligence. It saved 60% of the time their used to spend on creating inovices.
Finance and Accounting:
Processes such as financial reporting, invoice processing, and data entry are automated through RPA.
Procurement:
Supplier management, order processing, and inventory tracking are handled more efficiently with RPA.
Sales:
RPA accelerates and improves the accuracy of processes such as customer relationship management, order handling, and invoicing.
Customer Service:
RPA enables the automatic handling and processing of customer requests, reducing response times and enhancing the overall customer experience.
Human Resources:
Tasks such as recruitment, payroll processing, and updating employee data can be automated with RPA, reducing the workload on HR teams.
Information Technology (IT):
IT processes such as system monitoring, software updates, and user management are automated with RPA, enabling faster and more reliable operations.
RPA enables automation in both web-based and enterprise-level client-based applications.
By automating time-consuming and repetitive tasks in business units such as finance, accounting, IT, HR, administration, and procurement, RPA ensures smooth and consistent operations. As a result, it is increasingly being adopted by organizations of all sizes.
Opening Emails and Attachments: RPA can automatically open emails and manage attachments.
Copying and Pasting Data: It can copy and paste data, move and update files and folders.
Data Processing and Calculation: It processes data based on logical rules and performs calculations.
Data Collection and Form Filling: It collects data from documents and websites, then automatically fills out forms.
Reporting and Visualization: It generates reports and dashboards to visualize data.
System Integration: RPA connects to system APIs or databases to integrate seamlessly with enterprise applications.
By automating such tasks, RPA allows employees to focus on more strategic and creative work, minimizes operational errors, and accelerates business processes. This enables organizations to make faster decisions, reduce costs, and enhance overall efficiency.
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UiPath is ushering in a new era of enterprise automation: Agentic Automation. This technology combines AI agents, robotic process automation (RPA), and human interaction to transform your processes securely, scalably, and seamlessly. As the first enterprise-grade Agentic Automation Platform, UiPath empowers you to optimize complex and unstructured processes that go beyond the limits of traditional automation.
Agentic Automation leverages AI agents capable of making goal-oriented decisions, interacting with tools, and managing multi-step processes. By utilizing Large Language Models (LLMs), it enables the understanding of complex scenarios and intelligent responses.
Agentic Process Automation (APA) uses AI assistants to plan and autonomously execute tasks. By leveraging LLMs, APA understands complex scenarios and reacts intelligently.
AI Assistants: APA relies on autonomous AI assistants capable of understanding tasks, making decisions, and performing real-time actions. These assistants use machine learning algorithms that enhance decision-making through pattern recognition, adaptation to new data, and learning from past interactions.
Dynamic Decision-Making: APA assistants use AI models for real-time analysis and decision-making. For example, in customer service, an assistant can interpret and respond to various customer inquiries using Natural Language Processing (NLP) and sentiment analysis.
Integrated Machine Learning Models: APA systems utilize machine learning to process large datasets, generate insights, and analyze trends. In financial services, for instance, APA can detect fraudulent transactions and identify unusual activity by analyzing transaction histories.
Workflow Automation: APA assistants coordinate multiple sub-tasks across applications and systems to manage and execute end-to-end workflows. They autonomously handle tasks such as data extraction, document processing, and customer interactions—without human intervention.
I am simply crazy about this robot solution. It digitalizes our order process, reduces the number of key errors, and in the end it releases resources that we can use to optimize our customer service instead.
RPA software is flexible and can be applied to all sorts of business processes to achieve a number of different goals. Here are a few specific examples of what RPA bots can do for you:
NTT DATA Business Solutions
Nov 27, 2024
Jan Ammann
Sep 05, 2022
Dimitri Schweigerdt
Feb 14, 2022
Pim Clarance
Jul 01, 2021
Danny Groothuis
Oct 29, 2020
Thomas Nørmark
Oct 06, 2020
Hyperautomation is part of Gartner‘s Top 10 Strategic Technology Trends of 2020 and 2021. Hyperautomation drives the idea that any process that can be automated should be automated. It needs and combines several technologies such as Robotic Process Automation, Machine Learning, Conversational AI and Business Process Management to deliver an end-to-end experience that is agile and adaptable. Gartner expects that by 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes.
More advanced RPA software, sometimes referred to as ‘cognitive RPA’ technology, adds powerful AI capabilities to RPA bots. With text analytics and machine learning, for example, these bots can read and draw conclusions from unstructured data, like an email that might even have misspellings. They can then automatically insert the relative information from that email into a different document or a structured form. But that’s just one example, RPA bots of all kinds have many use cases. When Artificial Intelligence is involved, they can be made to learn, improve, and become more efficient as they carry out their tasks.
Our solution it.document handling suite helps you with streamlined invoicing, and approved document management. It’s based on RPA software, cognitive technology and artificial intelligence and gets smarter the more documents it handles.
RPA bots can bring speed, accuracy, and efficiency to your business, and NTT DATA Business Solutions has the experience and expertise to make that happen. Our proven RPA methodology covers the whole lifecycle of a bot. It defines clear activities, deliverables and roles for each of the phases within the bot lifecycle. Utilizing a best practice approach our proof of concept includes a complete analysis and redesign of your RPA related business process and a fully functioning RPA bot – in less than 5 weeks.
Are you searching for answers or would you like to receive more information on robotic process automation?
Get in touch with me today, and let’s discuss where your pain points lie, what you want to achieve, and how we can help you do that.
