rpa blog

AarornTech as an RPA Service Provider

Robotic process automation (RPA) enables organizations to automate routine tasks using software robots. More and more organizations are adopting RPA as a means to achieve their operational efficiencies. At AarornTech, we make the RPA journey convenient and valuable for our clients. Our team analyzes the business needs, identifies operational complexities, and helps clients overcome them using RPA, assisting organizations in managing highly repetitive, structured, and voluminous tasks such as administrative, invoicing, product tracking, accounting, etc. Here we highlight some of the crucial factors that we consider in our RPA road map.

Client infrastructure is one of the primary areas that depends upon multiple processes and procedures within various organizations. At AarornTech, we develop RPA services with varied infrastructure setups in mind as one of our development criteria. As most organizations move towards virtual machines (VMs) and the cloud, we offer RPA solutions optimized for cloud and virtual environments, require minimal computing power, and run from any computer or VM. Our solutions are OS-agnostic, including Linux and Unix, making it compatible for all our clients across industry verticals.

An essential factor in our RPA development process is scalability. We consider scalability in implementation outcomes so that the solutions today do not turn into bottlenecks tomorrow. Our automation solutions can handle the increased load when RPA bots work together to carry out various business processes. We support broadening the usage scope as businesses expand automation across multiple business units upon realizing the automation benefits. Furthermore, automated business processes often need to access and be accessed by new application and integration technologies. We ensure that this capability of expanded access is envisioned in our RPA implementation process. Our scalable architecture has provided our clients with immense automation benefits.

Our zero-licensing policy with no hidden costs allows our clients to retain perpetual rights to adopt and distribute software within their domains. Our end-to-end RPA consulting services require minimal involvement of our clients. Through our interactions, our clients offer their vision of a solution, and we illustrate the path towards achieving that vision. Our clients provide the catalog processes, tasks, and access to systems through our Process Mining software. At AarornTech, we offer a full lifecycle implementation of RPA, with the client involvement in subject matter alignment, project progress updates, and handover processes.

All our global contracts have been remote for the past decade, enabling us to carry our commitments without delays or hiccups caused due to unforeseen events. As more and more businesses employ such infrastructures during the pandemic to minimize disruptions, our business deliverables were always on schedule. Our engagements have been very lean from a team requirement perspective, yet the deliverables are comparable to larger teams. Our global teams do the fulfillment processes remotely from within or outside the country; we connect through secured mediums as required with traceable logs and activity reports for each activity, which can be submitted on a timely or as-needed basis, rendering physical engagements less crucial. We welcome kick-off and on-site meetings, with our teams coming to the forefront of implementation with physical presence; however, these do not impose hurdles on our deliveries.

Our mode of access to the clients’ systems and that of delivery are secure and convenient. RPA teams directly access client systems, and the resulting software runs on any client workstations. For regulated industries, we can access systems through existing customer consoles with standard operator rights. We ensure our engagements are compliant with regulatory processes and are secure in all aspects. We follow customers’ rule book for engagement processes and best practices, and we ensure that all regulatory requirements are met, such as PCI, DSS, CMMI, SOCSO, HIPAA, Sarbanes-Oxley Act, or any other industry-specific regulatory compliances.

With our unique approach that suits organizations of all sizes and budgets, we instill RPA to help our clients improve processes, enhance productivity, reduce operational costs, and eventually magnify their businesses’ and stakeholders’ lifetime value. Our commitment to saving the time of their valuable employees helps our clients focus on quality tasks that matter for the future of their organization.

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RPA for Telecom Industry


Telecommunications companies face challenges due to the pace of growth within the vertical. Furthermore, the domain entails various processes, such as data and cost management, operational flexibility, talent acquisition, and new services development. These challenges necessitate the implementation of RPA to ensure the meeting of stakeholders’ expectations regarding quality and efficiency. AarornTech exceeds the client’s expectations by understanding their business’s needs and providing high-quality automation service.


Why does every business need a Virtual Assistant?

The demand for virtual assistance in today’s business world is necessity driven. Digitization and virtualization have become pertinent for every company based on unprecedented changes in the business and technological landscapes. Earlier, the shortage of options rendered all businesses dependent on the traditional ways. With limited options, organizations were not able to adopt better ways of doing things. However, Artificial Intelligence (AI) has actualized every organization’s opportunities to operate in ways that weren’t imaginable even a decade ago.  AI has revolutionized the workplace. One of the breakthroughs of AI is the Virtual Assistant (VA), the most relevant technology in the backdrop of globalization, multinationalism, and competition. With these new norms, AI-driven VAs have made handling multiple tasks at multiple locations across various platforms possible. VAs can comprehend and converse with humans in a way that feels as though there is a human at the other end. Machine Learning (ML) and Natural Language Processing (NLP) enable VAs to learn from data, identify patterns, and make decisions with minimal human interaction. Smart VAs powered by ML and NLP enable employees to perform multiple tasks with minimal efforts, one of the fundamental reasons for VAs’ success.

Conversational AI for Crisis Management 

The current pandemic has further emphasized the need for digital technologies and services. The shift to remote and virtual workforces has affected all organizations across industry domains. AI’s role cannot be underscored enough to prepare organizations to run remotely during these crises or any other unforeseen events. Businesses are digitizing and automating, not just to achieve operational efficiencies as previously understood but also to minimize disruptions.

During the present COVID times, companies faced massive customer demands while working with fewer employees and reduced hours. The shutdown affected the workforce, supply chains, and customers and affected the customer experience badly when it was most required. The situation provides an opportunity to realize how technology is pertinent in combatting the adverse effects during any crisis.

Today we see governments using AI technology to provide immediate assistance to people regarding information and support within the country and outside when citizens are stranded. Government agencies have to interact with airlines to assist necessary travels, and airlines have to help other customers cancel flights due to unforeseen circumstances. Conversational AI alleviates the holdups by resolving issues automatically and transforms customer and employee touchpoints into profound communications.

Omnichannel Customer Service using AI-driven Virtual Assistants 

In today’s ecosystem, customers are tech-savvy and have numerous options that shape their expectations toward consistent experiences when using various channels or devices. Organizations must support multichannel customer engagement via web, voice, email within a single interaction, failure to which leads to information repetition and gaps, fragmented communication, and customer discontent. AI-driven VAs make Omnichannel customer service possible through seamless support across multiple touchpoints between a prospect or customer and a product or service provider. The interaction is quick, accurate, and time-independent that no human can deliver. Through omnichannel customer service, companies have satisfied customers and the employees that can focus on more value-adding business activities.

Overcoming Language Barriers 

Machine translation has improved considerably over the past five years. According to Google research, Google Translate’s score jumped from a mere 3.6 to a 5, out of 6, in just one year. ML has brought down the language barrier between various languages. The results reflect in global trade, and the first ones that need to catch up are the corporations and businesses that want to benefit from the opportunities and tackle the challenges.

Multilingual VAs help organizations to provide a better customer experience by allowing communication in the language of choice. Overcoming language barriers offer great opportunities in e-commerce. Small sellers can access global markets. According to a Common Sense Advisory survey, organizations that could communicate with international customers were 2.67 times more likely to increase their sales than those that could not. ML-driven VAs can distinguish between various accents and semantics, making conversations more engaging and meaningful.

Conversational AI-assisted Customer 360 view 

Customer 360 is a buzz word in the business world for good reasons. The idea is to build a complete and accurate depiction of a customer by aggregating each customer’s structured and unstructured data across an organization. Customer 360 helps an organization recognize a customer or prospect across all interaction channels to provide the best, relevant, and engaging experience.

The role of conversational AI is crucial in this journey. The best way to understand a customer or a prospect is to converse with him/her meaningfully. Gathering and storing information and providing intelligent and personalized experience every time is an integral part of the 360 view journey.

Intelligent VAs help to ensure that organizations have recent and accurate data about a customer collected when they prefer to interact. When the same customer revisits, the previous information is already available for a starting point, and the customer gets a seamless experience. Collection and grouping of customer information help develop customer behavioral models for more accurate insights and predictive analytics and mapping. Merging data across channels provides a thorough understanding of customer journeys.


The use of AI across various spheres of human life suggests that we are taking leaps toward the digital and automated future. Industry experts are unanimous of the opinion that technology is transforming how businesses operate. AI-assisted solutions drive this change seamlessly and ensure effective, accurate, and timely resolutions like never before.

Conversational AI delivers opportunities and outcomes during boom and uncertain times. The need for AI-based solutions is becoming more and more relevant, and the ones that recognize and leverage the current trends are the ones that will stay on top.


Document Management

In the age of knowledge, the information adds value to a firm. Yet, organizations struggle to extract the necessary information, and eventually, most of it ends up being dark data due to the lack of the ability to elicit beneficial information. Any piece of valuable information comes along with unnecessary details. Extricating significant portions from other specifics is a challenge that businesses face every day. How does a company then filter this beneficial information and store it in a way that is most accessible and yet efficient in managing the storage costs? The answer lies with the Robotic Process Technology (RPA).

RPA has found its use across business processes, especially in Document Management, i.e., the organization and storage of documents. While there are various ways of managing documents, RPA has thus far been the most efficient one. As long as a process is automatable, RPA finds its use. Documentation entails repetitive tasks, and automating these processes makes accessibility easier and reduces storage costs substantially. RPA and Artificial Intelligence (AI) add the benefit of learning over time to a Document Management process. The software can identify complex problems, such as when the bills have not been paid. It can also eliminate old or irrelevant records and hence streamline the processes. RPA with the AI system can learn to understand documents and use predictive decision making.

Document processing comprises of various activities. Document identification is the process that enables the software to identify the type of the document, such as a machine-readable text form or handwritten and scanned document or an image. Every organization handles hundreds of reports each day that are in various formats. Some materials are in standard formats such as tax forms, immigration forms, etc., typically regulatory and compliance records. These documents are associated with the processes that are repetitive and can be easily automated. RPA can help organizations read, classify, and store these forms into structured data systems. Other documents may contain data embedded in the free text, such as paragraphs and bullet points such as legal bills and medical coding. The RPA tools, along with APIs such as OCR tools, can help extract them and eventually retrieve them to a more accessible and usable system. The RPA tools combined with OCR tools and Natural Language Processing (NPL) algorithms can achieve superior readability irrespective of the context and format with greater accuracy as they evolve.

Once the tools identify the data, it needs to be classified based on its function, such as invoices, trade bills, timecards, etc. After the classification of documents, the relevant information needs to be read and interpreted. Actions need to be performed based on conclusions such as data storage and actions like sending notifications.

Data management using RPA and other intelligent tools enables organizations to improve efficiency and accuracy and reduce workloads and costs. Since each organization deals with a plethora of data on any given day, processing, analyzing, extracting, validating, and storing may take over the human workforce’s time. RPA provides a feasible option for manual data handling and processing of inbound documents.

Organizations are using data to enhance customer experience, improve employee and process productivity, and enter new markets. Document Management helps businesses achieve a competitive advantage through higher efficiency. Using information to provide analytics is made possible with bots taking over the repetitive tasks previously performed manually. To carry out any beneficial analysis, the automation of document processing has become critical.

RPA manages massive amounts of data from virtually any internal or external system. It helps organizations manage repetitive and labor-intensive tasks, switch data between applications conveniently, trouble-free downloading and uploading of files, effortless analysis and extraction of data, and prevention of frauds through easy monitoring of data, users and activities. And eventually, Document Management with RPA allows businesses to do green.



A chatbot is a conversational software that has become commonplace, whether you open a website or call customer service. It is a bot that chats like humans, i.e., it mimics human capacity to comprehend languages with increasing accuracy as they evolve. Chatbots can understand and interpret both written and spoken text. It is a software that typically carries out automated tasks or performs a workflow. Chatbots’ role to completely replace human intervention is arguable. However, their increasing popularity makes it pertinent to understand their position in today’s business world.

What makes Chatbots so widespread is the way they seamlessly integrate with existing systems. Bots are finding their uses in broader platforms and are expected to make interactions with software easier. Chatbots are used in messaging applications, websites, mobile apps, and through the telephone. The majority of the existing solutions can be added to the bot framework without hassle.

There are mainly two categories of chatbots. Command based chatbots can answer a fairly reasonable number of typical questions. However, for any nonconforming requests, human intervention is required. Command based chatbots use template search or dynamic search to understand questions. Their ability is conditional on the scope of the programming. On the other hand, AI-based chatbots learn continuously, depending on the inputs they receive. Once a thing in movies, we have Artificial Intelligence in chatbots, where humans and machines interact through natural languages. Machine learning enables these bots to learn from human conversations and use that information to provide better responses in the future. AI chatbots use artificial intelligence to establish the users’ intent and return a predetermined response that may include text, pictures, external links, videos, or product recommendations. These chatbots can be used in various contexts, from sentiment analysis to determining the likelihood of the purpose of visits on a website.

Chatbots have led to enhanced customer service. Without waiting for the call center agent’s response, a chatbot can handle various queries around the clock. Instead of long lists of FAQs, customers find it convenient that chatbots return answers to specific FAQs. Chatbots also make online shopping an exceptional experience. Chatbots remember the preferences and use the information for subsequent visits. Personalized communication with chatbots stimulates the customer’s desire to purchase. The speed of processing customers’ requests helps gain their satisfaction and loyalty.

One of the primary uses of chatbots in a business is that of lead generation. Using a conversational approach to marketing, organizations engage lead generation bots to identify potential customers, generate their interest, and foster rapport with the prospects. According to a survey cited in Chatbots Magazine, 67% of the respondents expressed a higher likelihood of purchasing products and services from businesses using a chatbot. Lead generation bots ensure that a visitor is attended 24/7 and receives a timely response. Furthermore, visitors are more comfortable talking to chatbots in this scenario to avoid potential hard-selling exposure. Therefore, lead generation chatbots are the perfect way to automate sales and lead generation processes by turning prospects into leads across client websites and platforms on social media.

Besides, businesses use chatbots to get rid of routine tasks and instantaneously process multiple requests. While many customer queries remain unanswered, or at best get a late response due to bogged down agents, chatbots respond to 100% of messages irrespective of the time of a day or a week. There is substantial evidence based on the trend in sales statistics suggesting that the businesses that use conversational software will be at an advantage over those that don’t.

A combination of chatbots and live chat offers entirety to a communication process in various scenarios. Chatbots help users with search, leaving contact information, or suggesting products and services. However, live chat is preferred when an existing customer wants to register a complaint, or a potential customer needs to derive a price based on certain exemptions. To avoid undue back and forth of messaging, live agents may resolve the issue and improve customer experience. Furthermore, it is cost-effective to live chat with a customer compared to phone support. Live chat agents can share information on various media and multitask that isn’t possible over the phone. Nevertheless, implementing live chat to substitute phone support can improve operational efficiency and overcome chatbots’ limitations when human intervention is essential.


RPA for Public Sector

The demands of the public sector are higher than ever, and the governments face severe constraints. Cutting costs means efficiency in good times and a necessity during harder times. Nevertheless, cost efficiency is one of the key objectives of all governments. Yet many such projects fail due to the wrong approach, i.e., reducing costs less likely to sustain the intended cost reductions. In other words, governments tend to reduce budgets in ways that are not sustainable. Governments have started leveraging on smarter means for managing public sector expenditures. These are permanent solutions that help in cutting costs without compromising on the quality. Robotic Process Automation (RPA) is an intelligent approach to help realize public sector efficiency in terms of cost and quality.

In the past, the public sector has been either slow or unable to adopt digital transformation. Recently, governments have shown more adaptability towards technology, and RPA is one way that aided this trend. While RPA brings enormous benefits through automation of processes typically run every day in public sector agencies, it is a non-invasive technology that is convenient to adopt and can be introduced in phases. Since RPA doesn’t have to be operated to an end-to-end process, it enables large departments to automate sub-processes seamlessly, with low costs and minimal disruptions. Accordingly, RPA closes the gap between novel technologies and legacy systems in the public sector.

RPA is a rules-driven technology that does not require any human judgment. It takes care of all the repetitive tasks that involve data manipulation and data migration. All the data-intensive processes that have a high error rate, include sensitive information, and are electronically triggered are the potential candidates for RPA. Governments generally depend on massive databases that involve a large number of transactional activities. Public sector workers dedicate a substantial portion of their workdays in such operating tasks as collecting, cleaning, and reorganizing data. Consequently, the workforce has less time to assign more germane roles that entail data integration and analysis. Implementing RPA has been recognized by various public sector domains such as healthcare, education, police, central government, local government, to name a few. A significant amount of use cases in these sectors are a testimony for other countries to consider.

The central governments can automate universal credit and benefit calculations, tax calculations, and licensing application processing. All these functions are data-intensive, involve mundane but necessary handling of data, and cannot afford errors. For local governments, RPA can be used to automate processes related to revenue collection, permit applications, and incident reporting to highlight a few. The new machinery of government: Robotic Process Automation in Public Sector by Deloitte LLP underscores the use cases in public sectors and reports an increase in throughput and ROI and reduced costs as the primary outcomes. Nonetheless, RPA brings many benefits to the public sector and a smart approach towards digital transformation.

To summarize, RPA can handle complex tasks with speed. RPA enables optimization of data collection, consolidation, and indexing to set up all processes with accurate information. It also introduces accuracy to payments and distribution as RPA returns results that are consistently error-free. Through automation, RPA enables smoother and quicker delivery of services and enhance service levels. Automating repetitive tasks helps the public sector improve their operations, reduce costs, and improve citizens’ service. Employees appreciate the benefits of RPA as it relieves them from mundane activities to focus on more value-adding projects and serve the citizen. Public sectors that have adopted RPA find the functioning least disruptive during crises such as the present Covid-19. With fewer employees at work, bots perform tasks 24/7, can be remotely accessed, and mitigate the majority of the risks associated with shutdowns. For these reasons, RPA is envisioned as a critical driver towards digital transformation in the public sector.


RPA for SMEs

Organizations are increasingly automating business processes through software automation. Software automation has been simplified and made more accessible to larger populations of businesses through Robotic Process Automation (RPA). A breakthrough in technology, RPA is used to automate rules-based business processes that entail routine tasks, structured data and deterministic outcomes. Organizations report the benefits in terms of costs, speed and error reduction leading to higher ROIs, precisely explaining the popularity of RPA.

At its infancy, RPA was expensive and hence really the technology for larger organizations. However, just as any other technology takes off, RPA has become more and more affordable over time and has broken its barriers to entry into the Small and Medium sized Enterprises (SMEs). While SMEs might be constrained in terms of resources and funds, their flexibility to adopt new technology quickly makes them a better candidate for RPA. According to PwC White Paper, Organize your Future with Robotic Process Automation, “Besides the cost and efficiency advantages, a couple of RPA’s greatest benefits are often overlooked: its ease of deployment and the speed and agility it confers on the enterprise”. SMEs tend to take advantage of RPA through lower costs of implementation alongside their agility to adapt swiftly and hence realize the timely benefits of automation. One can argue that SMEs have a competitive advantage in implementing RPA solutions with negligible delays due to size, complexity and cumbersome administrative procedures faced by larger organizations.

RPA enables businesses to mimic a variety of repetitive tasks that are otherwise carried out by humans in an organization. RPA releases human workforce from repetitive and error prone tasks to be more creative and engage in cognitive problem solving.  As SMEs depend upon a smaller workforce, RPA allows to leverage on a more productive team of employees. With RPA bots working around the clock, there is no downtime for the processes and hence better time and operations management. The implementation and migration to RPA is straightforward as RPA tools interact easily with existing infrastructures, leading to integration with legacy systems completely trouble-free.

RPA tools are usually based on Graphic User Interface (GUI) that connects applications and tasks. This kind of user interface again favors SMEs as users access various functions by single clicks and/or drag-and-drop options with no programming requirements. GUI allows easy switch between automatic and manual modes, transparent bot actions and convenient diagnostics. Since these actions do not require any programming and automation can be carried out by users without involvement of IT, SMEs do not require on-premise IT teams.

SMEs can choose, from the RPA suite, not only what and when to automate but also, how to automate. SMEs can choose a service model i.e., Robotic Process Automation as a Service (RPAaaS) that further slashes the modifications required to current business systems. RPAaaS is a cloud-based subscription solution that uses artificial intelligence and other advanced technologies to help automate vital tasks over the internet. The SMEs enjoy lower initial infrastructure costs and other costs of implementation, lower liabilities and easier exit options. In addition, the automation selection options are flexible and driven by the customer; and implementation is agile and can be managed in multiple phases. Using web-based solutions, SMEs do not need an IT team to handle on-premise hardware and software. For processes where data discretion or regulatory compliances are pertinent, bots can be made to work locally. This hybrid solution provides extra layer of safety and flexibility given that the bots need to be developed only once for both cloud and local applications. Hence, with a hybrid RPA, most organizational issues are resolved!

To sum up, SMEs stand to benefit greatly from RPA. SMEs find it more costly to have their small workforce do less meaningful and more mundane tasks. Through RPA, SMEs can get their employees do more meaningful jobs more productively. In the age of competition, SMEs can stay on top by using efficient workflows and effective systems leading to higher ROIs that come through both efficiency and resilience.