Robotic Process Automation

Robotic Process Automation (RPA) is an innovative and powerful approach to improving process efficiency through the automation of high-volume, repeatable tasks by implementing special software robots that perform operations instead of humans. Software robots are “virtual” employees: they work side by side with the “real” people and significantly reduce company operating expenses.

Bell.One™ is a partner of the world RPA leaders, and it applies full-stack services for the successful implementation of robots from the analysis of processes and selection to continued support and training of your RPA department.

How It Works

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The effective implementation of RPA consists of four key stages: the general analysis of business processes, RPA process selection and calculation of the expected effect, development, implementation and scaling. At the first stage, a top-level analysis is performed to identify processes that could potentially be addressed by a robot. The second stage consists of the selection of pilot processes, the calculation of the efficiency index, the comparison of RPA vendors and the purchase of licenses. The third stage is the development and testing of processes that were selected at the second stage. The main objectives of the fourth stage are implementing the robots in a production environment and scaling and forming a competence center within the company.

Key Features

Increased Employee Efficiency

Investing in RPA is primarily an investment in employees. The goal is high-performance teams that can perform really complex tasks by delegating routine tasks to robots.

Accelerated Speed and Quality

Digital robots can work 24/7/365 without holidays and breaks. RPA algorithms almost entirely eliminate errors and prevent the human factor. Robotic process automation takes several times less time than what would be required by humans.

Cheaper Scaling

Scaling and increasing process capacity through business growth is less expensive than the traditional method of hiring more staff. RPA allows reuse of the developed robots and provides tools for effectively managing them.

High ROI

The average payback period is 9-12 months. Development and implementation of the first RPA robots takes about 6 months.

Use Cases


The introduction of RPA in the financial world has helped banks significantly minimize human intervention in the execution of tasks and decision-making process. RPA makes it possible to increase operational process efficiency, lower costs, including regulatory compliance costs, while affording deeper analytical insight for banks. Today, most banks use RPA primarily for improving processes such as accounts management, loans attribution, financial monitoring, card operations, and reconciliation. RPA is also gaining increased popularity in such other key areas of the banking sector as regulatory and compliance, financial risk management, cyber risk and resilience, sourcing and procurement, and finance and accounting.

Software robots used in RPA can access multiple internal and external applications, thereby reducing delays in performing tasks caused by staff workloads.

Robots can check such credit applicant information as income, expenses and exposure across several databases and then assemble this information into a report for the credit analyst.

RPA software robots reduce the need for employee involvement in fraud detection by monitoring bank accounts and card activity in real-time. Robots also check internal and external data sources for suspicious activity.


One of the primary challenges facing healthcare organizations is managing and processing information spread across many internal and external sources, including clinical applications, lab information systems, third-party portals, insurance portals, radiology information systems, scheduling applications, and ERPs and HR applications. Integration across these systems is often complex, and most healthcare organizations still often rely on humans to perform manual labor-intensive tasks to process information. RPA is a solution that automates virtually any manual and repetitive task that needs to be applied to content to ensure it is accessed and acted on as part of critical healthcare business processes. A new digital workforce made up of intelligent software robots is helping healthcare organizations automate the flow of information from multiple EHRs, partner ecosystems, finance and accounting systems, and payer portals without the need for complex coding.


RPA can help you effectively manage customer records across multiple systems and process changes. The robots ensure that all of your CRM information is synchronized as they link systems, processes and activities on demand, 24 hours a day, 7 days a week. Other cases for RPA include the management of loyalty schemes, which means you can put your clients at the center of your attention. RPA can generate reports to help you better understand your business and to comply with regulator needs, and it can help you with complaint management to improve customer satisfaction.


Telecom service providers have to support staggering amounts of processes that are dull and repetitive on the one hand, while being essential to the delivery of service on the other. In many cases, these processes require multiple systems to be queried and/or updated in order to complete the task. It is also essential that the tasks are completed reliably and accurately.

Telecom providers are leveraging RPA capabilities to reduce costs, improve data quality, boost customer service, and to drive significant improvements in operational efficiency. In fact, telecom organizations deploying RPA find that they achieve the following results almost immediately: а truly scalable workforce capable of being sized up or down within hours, near zero error rates, adherence to regulatory and corporate regulations and per ‘headcount’ costs that are a fraction of what is true for a traditional workforce.


Manufacturers already implement physical industry robots to assemble, test, and package their products. Though these robots are able to help streamline their assembly lines, the manufacturing industry still struggles to maintain control over managing its back-office and operational processes. Manufacturers must juggle labor- and time-intensive processes such as customer communication, procurement, inventory management and payment processing. At the same time, they have to maintain cost reduction and innovative business practices. In order to overcome these pain points, many manufacturing companies are turning to RPA to attain improved agility and more streamlined operations across the value chain, resulting in up to a 20% cost savings across various touch points.


  • Reduced transaction costs
  • Fast implementation and rapid ROI
  • Increased staff efficiency
  • Scaling and re-use