process automation Archives

Allen Shapiro September 18, 2024 No Comments

Integrating AI for Smarter Decision-Making in Process Automation

Organizations are continually striving to optimize their operations, increase efficiency, and maintain a competitive edge. As technological advancements rapidly evolve, one of the most transformative innovations on the horizon is the integrating artificial intelligence (AI) with process automation. This combination is proving to be a game-changer, offering substantial benefits that extend far beyond traditional automation. This blog explores the synergy between AI and process automation, delving into how AI enhances decision-making within automated processes and the profound impact it has on business operations. The Evolution of AI in Process Automation Traditionally, business processes relied heavily on manual labor, which often led to inefficiencies, human errors, and operational delays. As organizations began to recognize these challenges, the demand for automation grew. Early forms of process automation focused primarily on automating simple, repetitive tasks using rule-based systems. While these solutions provided some relief, they were limited in their ability to handle more complex, data-driven processes. Enter artificial intelligence. With advancements in AI, process automation has evolved to become more intelligent, adaptive, and capable. AI-powered process automation utilizes sophisticated algorithms to automate not just routine tasks but also complex business processes that require real-time decision-making and contextual understanding. According to a recent Gartner report, 75% of large enterprises are expected to deploy AI in their business operations by 2025, highlighting the growing recognition of AI-driven process automation’s advantages. Enhancing Decision-Making with AI One of the most significant benefits of integrating AI into process automation is the enhancement of decision-making capabilities. Traditional automation systems operate based on predefined rules, making them rigid and limited in their scope. In contrast, AI algorithms can process and analyze vast amounts of data at unprecedented speeds, enabling them to identify patterns, detect anomalies, and provide valuable insights that guide decision-making processes. AI’s ability to rapidly analyze data allows organizations to respond more quickly to real-time events and changing conditions. For example, in the finance sector, AI-driven document automation can streamline the processing of financial documents, such as loan applications or insurance claims. AI algorithms can extract relevant information, assess risks, and make recommendations, leading to more accurate and timely decisions. This not only improves operational efficiency but also enhances the overall customer experience by reducing processing times and minimizing errors. Moreover, AI’s predictive capabilities empower organizations to make proactive decisions rather than reactive ones. By analyzing historical data and identifying trends, AI can forecast future outcomes and recommend optimal courses of action. This predictive power is particularly valuable in industries such as finance, healthcare, and manufacturing, where timely and informed decisions can significantly impact business performance and outcomes. Benefits of AI in Business Process Automation The integration of AI into business process automation offers a wide range of benefits, making it a powerful tool for organizations seeking to improve efficiency, reduce costs, and enhance accuracy. Below are some of the key advantages: 1. Efficiency and Productivity AI significantly enhances efficiency by automating repetitive and time-consuming tasks, allowing employees to focus on more strategic and value-added activities. According to McKinsey, AI has the potential to increase labor productivity by up to 40% by 2035. This increase in productivity translates into faster turnaround times, higher output, and improved operational agility. For instance, in the customer service sector, AI-powered chatbots can handle routine inquiries and support requests, freeing up human agents to address more complex issues. This not only improves response times but also ensures that customers receive timely and accurate information. 2. Reduced Operational Costs AI-driven automation streamlines processes, reducing the need for manual labor and, consequently, operational costs. Gartner predicts that by 2024, organizations that combine hyper-automation technologies with redesigned operational processes will reduce their operational costs by 30%. These savings can be reinvested into other areas of the business, such as innovation, research and development, or expanding market reach. For example, in the retail industry, AI-powered inventory management systems can automatically reorder stock based on real-time sales data and demand forecasts, reducing the risk of overstocking or stockouts. This not only optimizes inventory levels but also minimizes storage costs and waste. 3. Improved Accuracy AI’s precision is crucial in industries where accuracy is paramount, such as healthcare, finance, and manufacturing. By automating tasks that require a high degree of accuracy, AI reduces the risk of human error, leading to better outcomes and fewer costly mistakes. In healthcare, for example, AI algorithms can analyze medical images and patient data to detect diseases at an early stage, improving diagnostic accuracy and patient outcomes. In the finance sector, AI can detect fraudulent transactions in real-time, protecting organizations and customers from financial losses. In manufacturing, AI-driven quality control systems can inspect products for defects with greater accuracy than human workers, ensuring that only high-quality products reach the market. 4. Scalability AI-driven automation is inherently scalable, making it ideal for businesses experiencing rapid growth or facing fluctuating demand. Unlike human workers, AI systems can handle increasing workloads without sacrificing performance or accuracy. This scalability is particularly valuable during peak seasons or periods of high demand, where maintaining operational efficiency and customer satisfaction is critical. For example, e-commerce companies can use AI to automatically scale their customer support operations during holiday seasons, ensuring that customers receive prompt assistance even during periods of high traffic. This scalability not only enhances customer satisfaction but also allows businesses to capitalize on market opportunities without overextending their resources. AI Robotic Process Automation in Action AI robotic process automation (RPA) is a subset of AI-driven process automation that focuses on automating repetitive tasks using AI-powered robots. These robots mimic human actions, such as data entry, invoice processing, and customer support, by interacting with digital systems just as a human would. A notable example of AI RPA in action is a case study from Deloitte, which highlights the impact of AI RPA on a global healthcare company. By automating the processing of patient records and insurance claims, the company was able to reduce processing time by 60% and achieve a 30% increase in accuracy. This not only streamlined operations

Allen Shapiro April 24, 2024 No Comments

Humanizing Automation: Fostering Collaboration in the Digital Era

The digital era is characterized by rapid technological advancements, with automation playing an increasingly central role in businesses across all industries. While automation offers undeniable benefits in terms of efficiency, accuracy, and cost reduction, concerns exist about its impact on the human workforce. However, the future of work isn’t a battle between humans and machines; it’s about fostering collaboration and synergy between the two. Here’s why humanizing automation is crucial and how you can achieve it: The Rise of Automation and its Benefits: A McKinsey Global Institute report estimates that up to 800 million jobs globally could be automated by 2030. However, the report also highlights that automation will create new jobs, requiring a shift in skillsets. Companies that embrace human-machine collaboration will be best positioned to thrive in this evolving landscape. Automation offers several key benefits: Why Humanizing Automation Matters While automation offers numerous advantages, neglecting the human element can have detrimental consequences: The Power of Human-Machine Collaboration Humanizing automation means creating a work environment where automation complements and amplifies human capabilities. Here are some strategies to achieve this: Innovatix Technology Partners: Your Partner in Humanizing Automation Innovatix Technology Partners offers a comprehensive suite of process automation solutions designed to streamline workflows and improve efficiency while keeping the human element at the forefront. Our solutions enable businesses to: Conclusion Automation is here to stay, but it doesn’t have to come at the expense of human jobs or well-being. By humanizing automation and fostering collaboration, businesses can unlock the full potential of both humans and machines, creating a future of work that is efficient, productive, and human-centered. Ready to Get Started? Contact Innovatix Technology Partners today to discuss how our process automation solutions can help you humanize automation in your organization and empower your workforce for the future.

Allen Shapiro April 11, 2024 No Comments

The Rise of Intelligent Automation: A Roadmap for Success

The adoption of intelligent automation is no longer just a trend but a strategic imperative for organizations looking to enhance efficiency, reduce operational costs, and drive innovation. Technologies such as intelligent document processing, intelligent process automation, and intelligent document automation are spearheading this revolution, reshaping the way businesses operate and delivering unprecedented value across industries. Understanding the Essence of Intelligent Automation Intelligent automation refers to the amalgamation of artificial intelligence (AI) and automation technologies to streamline business processes, automate repetitive tasks, and enable data-driven decision-making. By leveraging machine learning, natural language processing, and robotic process automation, organizations can transform manual, rule-based processes into intelligent, self-learning systems that adapt and improve over time. The Impact of Intelligent Automation Recent studies by leading research organizations like Gartner and McKinsey highlight the profound impact of intelligent automation on businesses worldwide. According to Gartner’s latest report, “Intelligent Automation Market Trends and Forecast,” the global intelligent automation market is projected to grow by 25% annually over the next five years, reaching a market size of $15 billion by 2025. This growth trajectory underscores the increasing adoption of intelligent automation solutions by enterprises seeking to drive digital transformation and stay ahead of the competition. Crafting a Roadmap for Success with Intelligent Automation Implementing intelligent automation initiatives requires a strategic approach to ensure seamless integration, maximum ROI, and sustainable outcomes. Here’s a roadmap for businesses looking to embark on their intelligent automation journey: Unlocking the Power of Intelligent Automation Solutions As businesses navigate the complexities of digital transformation, partnering with established intelligent automation providers like Innovatix Technology Partner can accelerate the journey towards automation excellence. Innovatix, a leading provider of intelligent automation solutions, offers a comprehensive suite of services tailored to meet the evolving needs of modern enterprises. Backlink to Innovatix Inc.’s Process Automation Solutions: To explore Innovatix Inc.’s cutting-edge process automation solutions, visit Innovatix Process Automation Solutions. Embracing a Future Fueled by Intelligent Automation The future of business is undeniably intertwined with the rise of intelligent automation. By embracing intelligent document processing, intelligent process automation, and intelligent document automation, organizations can pave the way for enhanced productivity, agility, and innovation. As intelligent automation continues to evolve, businesses that proactively embrace this transformative technology will position themselves for sustained success in an increasingly competitive marketplace. In Conclusion The roadmap to success with intelligent automation is paved with careful planning, strategic execution, and the right technology partners. By leveraging the capabilities of intelligent automation solutions and staying abreast of market trends, businesses can unlock new opportunities for growth, efficiency, and excellence in the digital age. Remember, the journey to intelligent automation excellence begins with a single step towards innovation and transformation. Are you ready to embark on this transformative journey with intelligent automation at the helm?

Allen Shapiro August 21, 2023 No Comments

What is RPA? Top 3 Business Benefits of RPA

In the rapidly evolving landscape of digital transformation, businesses are constantly seeking ways to enhance productivity while reducing overhead. One technology that has emerged as a cornerstone of modern efficiency is Robotic Process Automation (RPA). But what exactly is it, and why is everyone talking about it? This blog explores the essence of RPA, its implementation, and the primary business benefits with RPA that are reshaping industries worldwide. Understanding RPA: More Than Just “Robots” In essence, RPA is a technology that automates, to some extent or all, the manual, rule-based and repetitive tasks of humans. RPA robots are not physical robots like those used in manufacturing but are software programs that replicate human actions with digital systems. They are able to log into applications, drag and drop files and folders, copy/paste data, complete forms, and extract structured text from documents. A business process automation solution becomes an organization’s digital workforce, one that never takes a break. This technology doesn’t need to be an expensive overhaul of current IT systems, but it is still non-invasive and highly scalable, making the solution viable for companies of all sizes, as well as for large ones with their current systems. Organizations that employ the end-to-end services of RPA typically experience ROI within a few months, as opposed to years, because software bots are deployed quickly. Whitepaper—The “Vibe-to-Value” Pipeline: How Natural Language Programming is Redefining Time-to-Market in 2026 This whitepaper explores how the transition to Natural Language Programming and the “Vibe-to-Value” pipeline allows enterprises to bypass traditional coding barriers and reduce software time-to-market from months to days. Download Whitepaper Where can RPA be applied? A very common question posed by executives is: What is the scope of RPA in my organization? It’s practically everywhere where there are high volume, repetitive tasks. Some of the most common RPA implementation scenarios are: Finance and Accounting: Streamline invoicing, accounts payable/receivable and financial reconciliation. Human Resources: Smoothing the onboarding process, payroll and benefits administration of employees. Customer Service: Customer ticket routing, customer record updating, and automating common inquiries. Supply Chain: Shipments tracking, inventory control and return processing. Top 3 Business Benefits of RPA The advantages of robotic process automation are numerous, but there are three key points that will matter the most for a modern enterprise. 1. Large cost reductions and resource utilization. For many companies, the benefits related to the bottom line are the principal motivator. Businesses can save a lot on operating expenses by handing over mundane tasks to bots. A software robot can work the jobs of several human workers for a much lower price. It also frees up the time of your human staff to move from “doing” to “thinking” and allows them to concentrate in strategic activities that generate revenue, as opposed to data entry. 2. Unparalleled accuracy and compliance. Human error cannot be avoided, particularly at repetitive tasks. One of the key advantages of top RPA is the reduction of manual mistakes like typos, missed fields, or duplicated data. RPA can be used in highly regulated sectors, such as healthcare or finance, where every action is precisely replicated as outlined in the program, offering a clear audit trail and assuring 100% conformity with industry standards. 3. Improved Scalability and Fastness Business requirements may change during a season or suddenly. RPA allows for the ability to scale up and down as needed, on the fly. When a retail company receives an influx of orders around the holidays, they can deploy more bots in a matter of minutes. This speeds up the process so that customer needs are being fulfilled without the hassle of hiring and training seasonal employees. The Path to Implementation: End-to-End RPA Services The integration of automation is no simple task: it’s not just a matter of software installation. For businesses to garner all the advantages of RPA, they must seek out end-to-end RPA services. It usually takes the shape of a journey that includes process discovery (discovering which processes to automate), bot development, testing and maintenance. Enterprise businesses ensure that their automation strategy is sustainable and value-oriented by working with experts. Frequently Asked Questions (FAQs) What are the main benefits of RPA for businesses? The top RPA benefits include increased productivity, enhanced data accuracy, significant cost reduction, and the ability to free up human employees for higher-value creative and strategic work. How does RPA improve business efficiency? RPA improves efficiency by executing tasks much faster than humans, operating 24/7 without breaks, and eliminating the time spent correcting manual errors. This creates a streamlined business process automation solution. Can RPA reduce operational costs? Yes, reducing operational costs is one of the most immediate business benefits with RPA. It lowers the cost per transaction and reduces the need for large teams to handle back-office processing. Which industries benefit the most from RPA? While RPA is versatile, industries with heavy administrative burdens—such as Banking, Financial Services, Insurance (BFSI), Healthcare, Manufacturing, and Logistics—typically see the most significant impact. Whitepaper—The “Vibe-to-Value” Pipeline: How Natural Language Programming is Redefining Time-to-Market in 2026 This whitepaper explores how the transition to Natural Language Programming and the “Vibe-to-Value” pipeline allows enterprises to bypass traditional coding barriers and reduce software time-to-market from months to days. Download Whitepaper

G. N. Shah August 21, 2023 No Comments

9 Critical Process Automation Questions – Answered!

Process Automation, in all its current embodiments and buzzwords (RPA, BPA, Document Understanding, Process Engineering, Hyperautomation,…), is clearly a critical issue on the minds of most business leaders. The marketing hype remains intensely positive. It is also true that many larger companies have internal efforts underway to utilize the technology set and seem generally positive in their feedback. They are finding it very useful for all the obvious reasons: streamlined processes that lead to less labor, better output quality, and better operational data, among other benefits. But what about mid-sized companies? How do leaders at these companies start to partake of the benefits of process automation without betting the company reserves? Often there are just too many barriers that stand in the way of them getting started or, more importantly, getting the significant benefits that process automation can offer. This paper offers my perspective on how mid-sized companies can start the process automation track efficiently to quickly begin gaining the benefits it provides. Following is a list of nine critical questions on process automation with my corresponding answers. My solutions involve engaging Innovatix Technology Partners in your pursuit of process automation, but honestly, you can always substitute any other highly skilled process automation service provider. 1. How does my company get started with process automation? Short answer – call us! Longer answer – after we come into the picture, we work together on three initial steps and create three documents for leadership consideration: We will do most of this initial work with your team at a minimal investment. And remember, we have Microsoft resources behind us, so they may be able to support some of the research work to get things started for your company. 2. Why should we use MS Power Automate rather than some of the other high visible vendors in the marketplace: UI Path; Automation Anywhere; Blue Prism? In all the top rating services (Gartner, Forrester,…), MS Process Automate is not only highly-rated today it is also moving up. It can work well in most use cases for a mid-sized company, I suggest using MS Power Automate as things simple to implement and support. Among other considerations: other tools are much more expensive; they require specialized trained resources to run them, and these top vendors are focused on large-cap companies at the higher end of the market (top financial or insurance companies, for example). 3. What can I do as my company absolutely does not have any resources available to work with your team? If no one at all is available, that is a showstopper. But perhaps look at it this way – you currently have people working and managing the current processes. We can team up with them with minimal impact on their time. We will be saving a lot of company time and resources once the application automation is implemented. Our team’s job is to ask all the right questions uncovering the information needed from your existing personnel and business process documentation. We are willing and excited to make this work for your company. We expect the calendar time required to complete the items in Question #1 is less than a month. We will assign a tech lead to the project, and it would certainly be good to have a single point of contact in your firm. At the end of this diagnostic, your firm will have enough data and information to inform the leadership team of the benefits and costs of a showcase implementation of process automation in your company. 4. What can I do since my firm’s internal systems are homegrown, and much of the data needed for automation is unavailable? This is where my team comes into play. If you have a collection of Python, Bash, Shell, or Perl scripts that work together in a somewhat ad-hoc way and it requires your teams to monitor the process, input, and output data to keep things moving, that is, in fact, a perfect case for process automation. Process automation brings together all these separate process elements into a single framework. This provides your team the ability to orchestrate everything from a single dashboard, automate all the data inputs as much as possible, and provide a clear and well-structured framework for making and understanding further changes in process code. In the showcase application, we will build with you. We will identify one of the more chaotic parts of your business and convert it into a well-run, well-understood process flow. Imagine the benefits of that! 5. We don’t have the data stores and clean enough data to implement process automation? The data does not need to be perfect to get things started. Keep in mind, as process elements are moved under the orchestration framework of MS Power Automate, the data flows and stores will automatically begin to improve. One of our main objectives in implementing process automation is to ensure the process data flows and stores move to ever-better degrees of precision and accuracy. That gives process owners a clear view of how things are going and how best to automate other processes. One of the critical hallmarks of Innovatix Technology Partners, a Macrosoft, Inc. company is our data skills; from the very beginning, we have known how to work with spotty data and improve data quality. 6. How long will the implementation of the showcase application take? In most cases, this will take three months or less from the time the process is initiated. Before we start, we need to have the following documents signed with your company: NDA, MSA, and a Business Case, including a detailed description of the showcase application scope. It is critical that your firm’s leadership team has a clear idea of what we will do and what they can expect to happen once the process automation system is in place. While we firmly believe process automation to be highly beneficial to most mid-sized companies and is undoubtedly their path to the future, it is not magic, and we can’t put unrealistic

Suryagayathri C K August 21, 2023 No Comments

Future of Robotic Process Automation (RPA)

Before directing you to RPA’s foreseeable future, let’s find out what RPA is and what its potentials are. What is RPA? RPA is a software technique that makes it simple to create, use, and manage software robots that mimic human interaction with digital systems and software under the direction of Innovatix Technology Partners, formerly Macrosoft, Inc. Software robots can perform a variety of specific tasks, including understanding what is on a screen, making the appropriate keystrokes, navigating systems, and identifying and extracting data. RPA is utilized in a variety of industries to automate repetitive, high-volume processes. The robotic automation business is expanding quickly, and its widespread use could significantly alter the Business Process Management (BPM) sector. Some of the top transformation benefits within these outcomes are: Road to the Future With RPA Around the world, the automation sector has experienced significant growth. Imagine being told 25 years ago that you would be able to command a robot to perform all your routine, everyday duties. Who knew this would be the future of automation? Right now, it would appear like a simple joke. We will be able to observe an oncoming new wave of RPA implementation in multiple industries with the aid of RPA tools. Small and medium-sized businesses would be included in these projects in addition to large industries. As there are fewer cyber-threats, many firms would even adopt RPA because it would help protect against all of them and eradicate them. RPA is predicted to quickly merge with other technologies, or software, in the future. RPA may or may not produce the intended outcomes if used in isolation, hence it would be wise for businesses to combine this adoption with other technologies or software. In near future, choosing an RPA provider should be based on more factors than only the ROI it would produce right away. In order for the tool to continue to demonstrate its worth well into the future, a careful decision should be made that takes into account the business goals of your organization, your automation plan, and how the tool will expand and integrate. Market Prediction In 2022, Gartner predicted that spending on RPA software would increase by $2.4 billion in total sales, and by the end of the year, more than 60% of companies with annual revenues of more than $1 billion will have adopted RPA service tools. “The global robotic process automation market size was valued at USD 1.89 billion in 2021 and is anticipated to increase at a compound annual growth rate (CAGR) of 38.2% from 2022 to 2030,” according to Grandview Research estimates. According to UiPath study, by 2023, 1 in 10 startups will have a larger digital workforce courtesy to RPA. Fortune Business Insights – The market is anticipated to increase at a CAGR of 25.0% between 2021 and 2028, rising from USD 1.61 billion in 2021 to USD 7.64 billion in 2028. What you should be looking at? The future of RPA at your organization should depend on the future of your organization, not the future of the technology, even though the capabilities of RPA technology will continue to advance. Implement a comprehensive, intelligent automation system that will adapt, integrate, and scale to meet your strategic business strategy. When artificial intelligence and machine learning technologies are capable of successfully automating RPA, the next stage of automation will be made possible. In any event, treating automation as if it were the most crucial thing in the world would mean ignoring a larger strategy in which automation is but one means of achieving process excellence. Why Explore the future in Process Automation with Innovatix RPA is used by businesses across a wide range of sectors and industries to automate operations that entail little to no human interaction. Identify which business operations may be automated to yield the greatest benefits before setting out on a journey to implement RPA. To determine the effect of robotic process automation on people, processes, and policies, engage in a brainstorming session with the appropriate RPA partner. Innovatix provides end to end RPA services, including planning, implementation, and support. Our skilled team assists in organizing and automating business procedures, which has increased production and efficiency. Keep in mind, regardless of any technologies you use, however the key is to implement it the right way with trusted and experienced partners who have a track record of reliability. To explore and learn more about integrating process automation into your routine daily business operations, join hands with Macrosoft, let’s lead the future road together.

Imaan Ali December 3, 2020 No Comments

Document Understanding: A Short Guide on the Major Process Steps

1. Executive Summary Document Understanding (DU) is one of the fastest-growing areas in business process automation. The DU ecosystem includes technologies that can interpret and extract text and meaning from a wide range of document types including structured, semi-structured and unstructured — even ones that contain handwriting, tables and checkboxes. This is now possible because of the ever-improving techniques of Machine Learning (ML). Enhancements in ML are spurring innovation in document understanding. In this article, we present the major steps in the DU process and the underlying architecture with reference specifically to UiPath’s Document Understanding framework. Multiple technologies can unlock the power of document understanding such as: In today’s business processes, most of the routine and mundane tasks employees perform consist of creating, reading, reviewing, and transcribing paperwork (documents). Employees spend a significant percentage of their work time reading these docs, extracting data, and passing on the much-needed information into other downstream applications manually. Since the data extraction from the documents and input to other apps is done by a human, the process is subject to problems of accuracy and reliability. UiPath’s Document Understanding solution allows you to intelligently process data with a high level of accuracy and reliability for any type of document such as invoice, receipt, financial statement, utility bill, and any other kind of text that has a different structure. The general flow for UiPath’s DU process is encapsulated into the 6 process steps below. To decide which steps are needed for a specific business process, you will need to address the below requirements: One primary concern of the solution is that it should not stop the entire process until a human performs a manual verification. The process should escalate the check to the respective party, while at the same time continuing to evaluate and process the rest of the documents. 2. Classification Based Approach There are scenarios where data extraction is not essential, and the priority is only to segregate the documents based only on classification, for further processing later in another process. In such cases, the UiPath DU solution comes in very handy as it provides the capability to classify documents based on keywords. The solution offers the ability to train the classifiers intelligently when setting up the automation solution. These classifiers will also continue to learn every time a document is classified (and verified by a human) thus improving accuracy over time. The classification and verification process steps are suitable for attended automation. The attended automation provides a Classification Station, where a user can verify and correct the classification if the confidence is below a predefined value. A schematic of the process is shown in the below chart. Classification Process In most business scenarios, classification is not the only requirement. Most processes will also require the extraction of data from the documents and processing of the extracted data according to specified business requirements. However, even in this case, we cannot ignore the classification process step in the automated approach, as it is essential to identify the type of document so that the robot knows how and what fields to extract. Different methods are available to handle manual verification of classification results: Use attended and unattended collaboration in scenarios where the process should be manually triggered. If the same user who triggered the process is doing the validation, the use of a Validation Station is possible. However, based on the business logic, if certain exceptional cases need management approval, such escalations can be directed to the Action Centre directly without showing to the user at the Validation Station. When designing a Document Understanding solution, it is a good practice to break the solution into separate manageable sub-processes. As a generic solution that fits for most cases, we could introduce three sub-processes to handle the Document Understanding Framework. This high-level diagram showcases a sample architecture for the Document Understanding process. The architecture used here breaks the entire document understanding process into three main sub-processes. The three main components are Initiator process along with processing logic (Process 1), UiPath Action Centre for task assignment and management (Process 2), and finally, the Train models component (Process 3) which handles the training of the intelligent classifiers and also the passing of the extracted data to other applications. The detailed architecture of each part is as follows. Process-1: The initiator Process The Initiator process is the primary process that handles document classification, data extraction, and verification logic. The verification logic will include the rules that define how to handle verifications automatically, either through the use of the Validation Station, Action Centre, or both when human intervention is needed. Depending on the option chosen in the validation logic, the extracted data will finally be passed to either the Action Centre Processor or to Post Processing to continue to the next steps. The diagram below shows a sample architecture for the Initiator Process. Process 1: Initiator Process Process 2: Action Center The Action Centre is the process that handles task creation, waits for task completion, and finally passes the data to the Post Processing portion for the end of Document Understanding. The diagram below shows a sample architecture for the Action Center process. Process 2: Action Center Process Architecture Process 3: Post Processing The post-processing includes the steps needed for exporting the final verified data, training the models, and finally, passing the data to a different process outside the document understanding framework to continue with any system interactions, etc. The data is handed over to a separate process because such steps are not part of document understanding and those should be maintained independently to maintain integrity and reusability of each component/ process. The diagram below shows a sample architecture design for the final stage of the document understanding framework, and it also showcases how Process 2 connects with Process 3. Process 3: Post Processing Solution Architecture Conclusion Although the specifics of the business process may change from one company to another, the core architecture and process steps showcased above remain largely the same

Imaan Ali November 24, 2020 No Comments

Is Your Business In Need of Process Mining?

5 Signs that Your Business Process is too Complicated and In Need of Process Mining As more automation opportunities arise, it is becoming increasingly imperative for businesses to use process mining to examine their business processes closely and determine those most ready to yield significant benefits from automation (and not solely focus on the latest technology stack!). Getting a more complete view of reality of a company’s processes and understand precisely what is happening there in real time and at the individual unit of output, these things can enable a company to move closer and much quicker to the goal of maximizing ROI through automation. Process mining has always been a mainstay of process automation, but the surprising part – it is often overlooked or not given the priority it deserves by clients in their rush to RPA and Intelligent Automation. The underlying assumption is that processes in the company are running in the manner BPM has mapped them out, without exceptions. But in reality that is often not so, there are many alternatives and exceptional paths that business in a company gets executed, and it is the goal of process mining to find them all out and present them to the company’s process engineers for inspection and further corrective action. The good part, process mining is a leading business process management technique that can be used relatively easily and quickly by an organization without any disruption to the underlying business processes. And the even better part, it can be used by companies of all sizes, it is not exclusively a large company technology. Once implemented it allows for ease in process automation and provides much better results than any manual mining operation. The purpose of this short blog is to lay out the 5 most important factors that indicate your company really needs to look into process mining as the way to better understand your business processes. If your response to any one or two of these 5 key process characteristics is in the negative, our recommendation is your look into process mining. In our view, it is very likely your business process will benefit big time from process mining, most companies we are aware of do! It provides real-time, actual, quantitative guideposts of your processes – that is in itself is a big advantage as all companies are heading to complete digital transformation. Moreover, it will allow you to analyze which specific processes are most in need of automation, and if using process mining can improve the company’s processes substantially and the order with which to begin! Here are some critical signs to look for in a process that suggest your process likely will be in need of process mining, and the benefits it provides: 1. Significant Data Analysis in Your Process By combining Robotic Process Automation (RPA) with Process Mining, businesses are now able to configure massive amounts of data and highlight the most valuable data and trends in order to make it readable to employees. So, keep in mind, process mining not only helps to identify and eliminate inefficiencies but it also streamlines process data collection. If you are getting overloaded with process data streams, and you’re able to only look at a few, process mining can help a great deal in this regard. Below is a data sample from SAP Process Mining by Celonis. Not only does their process mining tool streamline the data but also enables the company to customize their own categories for data sorting. 2. Not Truly Understanding your Process Not having a full understanding of business processes, and all the ways business things actually get done, can a big problem especially in the face of imperatives such as 100% process automation and digital transformation. This lack of process knowledge can come from many different factors: in some cases, processes are just too complex to follow so employees generalize them and hope for the best. Over time, this can lead to discrepancies in how each worker understands the processes and how they actually work, since essentially no one is fully aware of the process as a whole, rather everyone only knows it from their specific view of the surface. If it is hard to follow what is actually being going on in your processes, and in particular you can’t get a hold of all the exceptional process paths that works get done on, that is a surefire sign that process mining is likely needed and will be of great help. Take a look at the Purchase-Order example below and you will see how crazy and complex processes can be. More often than not, business processes tend to be just as detailed as the one below, if not more. Without a process mining tool, businesses can never truly wrap their head around the ins and outs of their process, causing them to miss the small deviations that go on to cause greater issues later on. 3. Complex HR work The HR department tends to contain a plethora of repetitive tasks that can frustrate humans. All the manual labor that goes into inputting information into spreadsheets and logs is not only inefficient but is not making the best use of the people in HR whose jobs pertain to communication with others. Process mining (especially the element of it called task mining) can allow for these employees to be doing the work they were meant to do while their tedious processes become essentially autonomous. 4. Unidentifiable Problems or Gaps in Your End-to-end Process If businesses do not have a clear picture of their processes end-to-end as they actually exists, they will find it difficult even to notice or pinpoint any serious issues, let alone find solutions for them. Not understanding the process end-to-end can mean that there are gaps needing to be understood and filled in. Within these gaps are where the most bottlenecks are likely to arise since there is a lack of accountability for what the process flow is. Process Mining

Tag: process automation

Integrating AI for Smarter Decision-Making in Process Automation

Humanizing Automation: Fostering Collaboration in the Digital Era

The Rise of Intelligent Automation: A Roadmap for Success

What is RPA? Top 3 Business Benefits of RPA

9 Critical Process Automation Questions – Answered!

Future of Robotic Process Automation (RPA)

Document Understanding: A Short Guide on the Major Process Steps

Is Your Business In Need of Process Mining?

Our Latest Post

Top 10 Custom Software Development Questions

Tips On Choosing The Right Staffing Agency

There’s No Such Thing As Too Much Testing

Categories

Our Latest Post

Categories

Tags