Robotic Process Automation Solutions

Elevate your business performance with Intelligent Automation from AROBS Group

AROBS Group extended its software services portfolio in the Intelligent Automation market through Robotic Process Automation Solutions (RPA), Artificial Intelligence (AI), and Machine Learning (ML).

The 100+ team of experts gathered under the Future WorkForce brand develop Intelligent Automation solutions that use the latest RPA (UiPath, Microsoft, Celonis, Outsystems ), AI, and ML technologies to automate repetitive and time-consuming tasks, allowing your company to focus on added-value activities. The teams are in Romania, the Netherlands, Belgium, Germany, and the UK.

Who We Serve

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Intelligent Automation is becoming vital in today’s business landscape as organizations seek to simplify operations and reduce costs, all while increasing the efficiency of their teams. For AROBS Group, becoming a reference for technology and software services is a significant part of our growth strategy: developing new areas of expertise for software services and acquisitions by integrating existing players operating in complementary industries, which allows synergies and easy integration.

We are present in the UK, Germany, Netherlands, Belgium, and Romania in the Intelligent Automation market. Our team’s strengths, resources, and knowledge shape the future of automation and drive transformative change for our clients and partners.

Business benefits and value of RPA

Robotic Process Automation solutions help businesses automate repetitive, rule-based tasks, improving speed, accuracy, and efficiency. By reducing manual effort and errors, RPA cuts costs, boosts productivity, and supports digital transformation, delivering real value across departments and industries.

1. Cost reduction

Robotic Process Automation solutions lowers labor costs because bots can work 27/7 without breaks or overtime. It also reduces errors in areas such as data entry and processing.

2. Increased efficiency and speed

RPA bots can handle large workloads at consistent speed and accuracy and execute tasks that take hours for humans to get done.

3. Improved accuracy and compliance

Bots are programmed to follow the rules precisely, delivering error-free operations. RPA can also help with audit trails, maintaining logs of every task, aiding compliance and reporting.

4. Enhanced productivity

Because of its ability to execute repetitive tasks, your employees are free to focus on higher-value, strategic work. Bots can also be scaled, eliminating the need to hire new people for extra work.

5. Better customer experience

Your customers deserve to have the best experience when interacting with your products or services. Robotic process automation solutions provide faster response times automating backend tasks that delay customer-facing services while reducing the risk of processing mistakes.

6. Rapid Return on investment

In many cases, companies see a return on investment within months due to cost savings and operational gains.

7. Easy integration with existing systems

RPA bots are non-invasive, they work with current applications without the need for deep system changes or integrations and can easily interact with web, desktop or legacy systems.

8. Support for digital transformation

Robotic process automation solutions offer great support for your company’s digital transformation process, acting like a bridge between existing technology and modern digital initiatives without massive IT overhauls.

// Intelligently Automate your business processes

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Challenges and Considerations in RPA Deployment

While Robotic Process Automation solutions offer significant benefits, successful implementation requires careful planning and awareness of potential challenges.

1. Process
selection

Take into consideration that not all tasks are suitable for automation. Processes like those with frequent exceptions or low volume can limit the role of RPA and limit ROI.

2. Educate the management

Employees may resist automation due to fear of job loss or disruption. Educate the management to clearly communicate and train to gain buy-in.

3. Scalability

Because of poor process selection, many RPA projects struggle to move beyond initial pilots. Scaling requires strong governance, standardization, and ongoing support.

4. Maintenance and bot management

Bots can break if underlying systems or interfaces change. Regular monitoring and updates are needed to keep them running smoothly.

5. Integration with existing IT systems

Even though Robotic process automation solutions are non-invasive, sometimes, complex or legacy systems may still require additional configuration to properly function.

6. Unrealistic expectations

Some companies expect RPA to solve all operational issues. A realistic roadmap and clear goals are key to long-term success.

Implementation and scaling of Robotic Process Automation solutions

Implementing and scaling Robotic Process Automation solutions involves a structured approach to deploying software robots that automate repetitive, rule-based tasks. Below is a breakdown of the implementation and scaling phases:

Implementation

1. Identify and prioritize processes

2. Process assessment and documentation

3. Select the right solution

When choosing the tool, you should consider:

4. Bot development

5. Testing and validating

6. Deployment and monitoring

Scaling

1. Establish RPA Governance

Create a governance team and define:

2. Build a scalable architecture

3. Expand Use Cases

4. Integrate with other technologies (existing or new ones)

5. Continuous improvement

Intelligent Automation Solutions Made for Your Business

According to a study conducted by Deloitte, organizations expect to reduce costs by 31% in the following three years by implementing intelligent automation. Moreover, the study found that a financial organization reduced costs by 70% by using the right combination of intelligent automation tools.
The industry has witnessed a significant leap in innovation. Our portfolio already showcases numerous successful projects that highlight our commitment to staying at the top of technology.

Key features and capabilities of Robotic Process Automation Solutions

Robotic Process Automation solutions can help with the execution of repetitive, rule-based tasks by mimicking human actions across your existing digital systems. The RPA bots are designed with user-friendly, low-code interfaces, meaning that the software can be used by both technical and non-technical employees or users, to create automation workflows quickly.
Robotic process automation solutions support attended bots, which assist users in real time, and unattended bots, which operate independently in the background.

How can robotic process automation solutions help your company become more efficient?

By taking over process recording, rule-based decision-making, having robust integration capabilities with legacy systems such as APIs, CRMs, and ERPs. Also, RPA solutions are highly scalable, allowing organizations to manage and monitor multiple bots from a centralized dashboard.

Regarding security, RPA solutions are secure and compliant, with encrypted data handling, role-based access, and audit trails to support regulations like GDPR and HIPAA. AI technologies like Optical Character Recognition (OCR) and Natural Language Processing (NLP) can be integrated to support intelligent document processing and email handling.

A great advantage of using Robotic Process Automation solutions is not having to think about making errors when performing repetitive tasks. Error handling and real-time analytics ensure consistent performance and operational transparency.

RPA can be deployed on-premises, in the cloud, or in hybrid environments, offering deployment flexibility.

RPA use cases across industries

Robotic Process Automation solutions are versatile, so, we will start by highlighting some use cases that are applicable in almost every business sector. These are:

1. Data Entry & Data Migration

Automating manual input between legacy systems and modern platforms.

2. Invoice Processing

Extracting data from invoices (PDFs/emails), validating it, and entering it into ERP/finance systems.

3. Payroll Processing

Gathering employee hours, applying rules, calculating pay, and updating payroll systems.

4. Customer Onboarding

Automating KYC (Know Your Customer) document checks, data validation, and account setup.

5. Report Generation & Distribution

Collecting data from multiple systems, creating reports, and emailing them.

6. Email Automation

Reading and responding to standard queries, sorting emails, and triggering workflows.

7. Data Reconciliation

Matching data across databases/systems to find discrepancies.

8. Scheduling and Reminders

Automating meeting scheduling, follow-ups, or reminders.

Industry-specific applications

Banking and financial services

In this industry, RPA is already shining. Adopted to streamline operations such as Know Your Customer (KYC) or Anti-Money Laundering (AML), bots are also used to efficiently verify customer documentation, cross-reference databases, and flag anomalies.

Processes like loan processing, trade settlement, and credit card application workflows also benefit from RPA implementation, with positive repercussions on reducing turnaround time and minimizing errors. Fraud detection is enhanced with bots that monitor transactions in real-time and alert human agents about suspicious activities.

Healthcare

RPA help healthcare providers manage patient data more efficiently by automating patient registration, billing, or the transfer of information between Electronic Health Record (EHR) systems.

Insurance claims processing is another key area where RPA bots extract and validate claim data, significantly reducing the time and administrative effort required.

Retail and eCommerce

This industry has a lot of repetitive tasks suitable for RPA applicability. Inventory management, order processing, customer support, updating product listings, monitor price changes across competitor platforms, or processing orders and returns. RPA can handle high volumes of repetitive customer queries through email or chat, enhancing the efficiency of customer service departments.

Insurance

Within the insurance industry, RPA is used to automate end-to-end processes like policy administration, underwriting assistance, and claims handling. Bots can extract information from policy documents, update customer profiles, and issue renewal notifications automatically.

Government and the public sector

RPA can help this sector with tasks like citizen onboarding, process social benefits applications, handling task-related submissions, enhancing citizen services and internal efficiency. Having the capability to extract information from forms, validating it and updating the internal databases, RPA bots can assist with issuing licenses and permits, reducing bottlenecks and improving service delivery.

Logistics and supply chain

With so many rule-based, repetitive processes, Robotic Process Automation solutions are not something to be put aside in the logistics and supply chain industry. RPA optimizes shipment tracking, invoicing, and inventory control. Bots can automatically generate and send shipment updates, reconcile bills of lading, and manage vendor onboarding processes. Automation allows companies to forecast demand more accurately ensure timely procurement, improving overall activity.

Education

In the education sector, institutions implement RPA to handle administrative functions such as student enrollment, exam scheduling, fee processing, and certificate issuance.

Manufacturing

In manufacturing, bots can help with tasks like schedule maintenance, track equipment performance, manage order fulfillment processes, manage bills of materials, updating compliance documentation, leading to improved productivity and operational resilience.

RPA and Artificial Intelligence (AI) Integration

In cases that is not clear yet, RPA (Robotic Process Automation) is a technology that uses software robots to automate repetitive, rule-based tasks across existing digital systems, while AI (Artificial Intelligence) is the simulation of human intelligence by machines, enabling them to learn, reason, and make decisions. The integration of these two advanced technologies, Robotic Process Automation with Artificial Intelligence has the absolute power to transform business operations by enabling smarter, more adaptive automation.

RPA excels at handling rule-based, repetitive tasks. AI adds cognitive capabilities such as natural language processing, machine learning, and computer vision. These actions allow companies to make decisions based on data or certain patterns, or even understanding customer sentiment. For example, in case of an e-mail containing documents, AI can analyze and extract relevant data, triggering RPA bots to act on it. This synergy between RPA and AI, often called Intelligent Automation, drives greater efficiency, reduces errors, and improves decision-making.

Attended and
Unattended robots

Robotic Process Automation robots can be attended or unattended robots. These two types are the most common and are already in use, successfully helping companies and employees become more efficient and resilient.

Attended robots are designed to assist human employees in their daily tasks, in real-time, often running on individual computers, performing tasks like customer support, data lookup, or form filling. These bots are not independent; their actions are triggered by human actions and are ideal for front-office operations where human judgment or involvement is still required.

On the other hand, unattended robots don’t need any human involvement in order to perform a task they were programmed to do. Unattended robots are best at executing tasks based on schedules or events. They are typically used in back-office processes such as data entry, invoice processing, or report generation, where tasks are repetitive and rules-based.

Combining both types, businesses can create a balanced automation strategy that improves productivity, reduces errors, and frees up employees for higher-value work.

Our expertise

Intelligent Automation should not be restricted to a single technology or system. Using this convergence of technologies, you can dramatically increase our customer’s business value and competitive advantage.

Robotic Process Automation
Artificial Intelligence
Process & Task Mining

Robotic Process Automation (RPA) technology automates company processes, allowing error-free execution and continuous operation. It performs various tasks like file management, data extraction, and email sending. RPA reduces costs and eliminates human errors, making it a cost-effective solution without custom applications or complex system integration. By handling repetitive tasks, RPA improves the work environment for employees, enabling them to focus on more essential and intellectual activities like customer service and innovation.

Using Artificial Intelligence (AI), software robots can analyze historical and present data to learn how workers perform tasks. The robot will track clicks, mouse moves, and actions. The bot can finish the process as soon as enough data has been analyzed. Using intelligent and self-learning bots to execute procedures involving unstructured data or parameter alterations is more beneficial.

In collaboration with our partners, Soroco, we can now implement complex projects that unlock actionable insights from user interaction data by combining Process Mining and Task Mining. The task mining process will automatically extract actionable insights from non-structured data. On the other hand, process mining helps businesses understand how people interact with an application by using data from events logs or other sources to build a model of the activity flow within the system.

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Case studies

Finance

Initial Challenges: Every month, the financial manager uploaded files into a BI tool that generated accounts payable and receivable reports for over 255 locations.
Our solutions: The process is divided into two steps. First, the software robot retrieves, stores, and loads ERP files into the BI tool. A second step involves emailing the archived AR/AP files to all 255 locations. As a final step, the financial manager receives an email confirmation of the successful processing.
Final takeaways after process automation: The team spent more time on higher-level tasks instead of spending approximately seven days/month sending reports.

Supply chain

Initial Challenges: employees must process a large number of non-stock purchase orders every day. After receiving the request, it takes hours to log and approve the information via email.
Our solutions: A three-step robotic process automation process - the requests are made via email box; a software robot logs the request and sends the email request for approval to finance. Lastly, an automatic software robot monitors approval and rejection emails and alerts the requestor when needed.
Final takeaways after process automation: save approximately 30 person days of work/year; a more straightforward approval process

Insurance

Initial Challenges: the client had to process 300 claim files every day. The task was performed by 6 employees, each file taking, on average, 11 minutes to operate, making it a high volume, repetitive and tiring process. The procedure involved multiple screen swaps, document reading, and structured information with pre-determined rules.
Our solutions: provided the use of unattended robots that run 4 hours per day to do the data collection, validation, and to monitor if there were any errors outside standard working hours, enabling Claim Inspectors to resolve key issues and exceptions during their workday.
Final takeaways after process automation: The use of new digital employees reduced the average time of handling a document from 11 minutes to 1.7 minutes/transaction, reaching a level of automation for this process of 95%.

Banking

Initial Challenges: Every order took our client about 5 minutes to process, which was 200 orders/day.
Our solutions: In order to solve the problem, we proposed the use of attended robots that can run on demand. Humans only had to input Order ID as a trigger for the robot to begin working.
Final takeaways after process automation: Process automation results in faster confirmation and shipping of orders, increased capacity after AHT(average handle time) reduction, and 99 % of the effort was automated.

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Our Intelligent Automation journey started in 2018 with CoSo by AROBS.

CoSo’s journey started as a small software development company that has grown into a powerhouse in the industry. With a remarkable client portfolio spanning logistics, finance, human resources, and supply chain, CoSo has delivered exceptional results in Intelligent Automation. In 2018, CoSo joined AROBS Group.

Our expertise helps our clients reach new heights and brings them new opportunities. We support them in optimizing time and effort by delivering a complete business automation solution. With more than 27 years of experience in software development, CoSo by AROBS has a highly skilled team of RPA experts in The Netherlands and Belgium.

AROBS Group Intelligent Automation team is now 100+ stronger.

Following the takeover of the Future WorkForce Global (FWF) group from Cluj-Napoca, which specializes in providing complex business process automation solutions, our Automation expertise is now 100+ more substantial.
Read more about the acquisition here

The CoSo and FWF teams quickly converged and are now working under the Future WorkForce brand. This step propelled the synergies between the companies. It enabled us to combine our teams’ strengths, resources, and knowledge, resulting in an exceptional ability to deliver superior solutions for our clients. Read more about it in the official announcement here.

Reach your business's full potential.

With the proper use of technology, innovation can flourish. We specialize in developing Intelligent Automation solutions using technologies such as Machine Learning, Artificial Intelligence, and Robotic Process Automation.

We aim to get your business to its highest potential, and that’s why our specialists will assist you through every step of the process in understanding and identifying the most suitable automation solutions for your business. As soon as productivity and workload have been optimized, we can start planning the implementation roadmap for automation.

We use RPA, AI, and Machine Learning to automate business procedures.
The support team will assist you in managing your digital workforce, recovering from failures, managing risk, and finding new opportunities for Intelligent Automation.