hyperautomation Archives | Comidor Platform All-in-one Digital Modernization Fri, 29 Aug 2025 14:21:31 +0000 en-GB hourly 1 https://www.comidor.com/wp-content/uploads/2025/05/cropped-Comidor-favicon-25-32x32.png hyperautomation Archives | Comidor Platform 32 32 From RPA to AI-Powered Automation: Transforming Business Workflows https://www.comidor.com/blog/rpa/rpa-ai-powered-automation/ Thu, 14 Aug 2025 11:38:46 +0000 https://www.comidor.com/?p=38933 Introduction to RPA and AI  With technological advancements and increasing customer demands, competition has become fierce. More and more businesses are adopting cutting-edge technologies to save costs, reduce manual workload, and ensure faster ROI. Among these technologies, RPA and AI surely stand out. These technologies are at the forefront of digital transformation. Integrating them separately […]

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Introduction to RPA and AI 

With technological advancements and increasing customer demands, competition has become fierce. More and more businesses are adopting cutting-edge technologies to save costs, reduce manual workload, and ensure faster ROI. Among these technologies, RPA and AI surely stand out. These technologies are at the forefront of digital transformation. Integrating them separately or opting for AI-powered automation depends on business challenges. This article aims to explore AI-powered automation and provide use cases to better demonstrate its benefits.

AI-powered Automation: Overview

Before we move on to comparing AI and RPA, we need to make sure the terminology is clear and understandable. AI, or Artificial Intelligence, is a technology that enables systems to learn from data, recognize patterns, and make decisions or predictions without explicit programming.

In business, AI is used to automate various tasks, analyze large amounts of information, and improve processes like customer service, marketing, and operations.

To better understand AI’s capabilities, it’s important to learn about its four main components.

Machine Learning (ML)

Machine Learning is an area of AI application that spans diverse tasks and objectives. The main idea behind ML is for the computer to learn to perform tasks without being specifically instructed on how to do them. This process generally relies on pattern recognition and improving predictions over time and through corrections.

This application is especially suited for data analysis and detecting correlations or links humans may not pick up on.

Natural Language Processing (NLP)

With Natural Language Processing, AI models learn the structure of languages and predict the next output based on what they can extract from text input. NLP solutions can be used to analyze text, outline, and remember important information, as well as identify tone and emotions.

These capabilities make NLP models ideal for uses like AI chatbots for customer support, customer onboarding for SaaS solutions, automating document analysis, and summarization etc.

Computer Vision (CV)

Computer Vision is an area of AI that specializes in analyzing visual data and gathering information from it. Whether it be photos or videos, CV solutions are engineered to present you with key information that they could extract from the provided data, and perform complex tasks like image recognition and classification, or even generate images or videos.

Generative AI (GenAI)

Arguably, the most popular type of AI technology today is Generative AI. GenAI is used to generate new content, for example, images, videos, text, audio, or data to be fed back into the model (or other models) for training. This area of AI has earned considerable attention due to its unprecedented ability to generate complex, high-quality content simply based on a prompt.

The Difference Between RPA and AI

The RPA Perspective

RPA or Robotic Process Automation refers to scripts for bots that are programmed to perform specific tasks based on certain rules. These applications execute repetitive tasks, taking over routine. The goal is to free up team time through automation.

For instance, take chatbots for customer service automation. They work based on predefined rules. To construct a chatbot flow for your website, you’ll need to write scripts so that the bot can offer support, direct customers to the product pages, collect their details, or make updates on their behalf. It’s not difficult: most RPA platforms offer guidance for writing chatbot scripts, so basically anyone can build a bot without much tech knowledge.

However, tasks for RPA are still “cookie-cutter”; there is no need for complex analysis or intricate pattern recognition; RPAs have a programmatic principle of operation. RPA solutions offer the ability to construct your script with a low-code solution. Think of it as writing a simple algorithm for the task a team member would otherwise perform.

To be of real value, an RPA tool must be able to integrate seamlessly with your existing company infrastructure, whether that be CRMs, ERPs, communication platforms like Slack or Microsoft Teams, etc.

Due to their relatively straightforward programmability, RPA bots can provide a more comprehensive overview of their functionalities and task execution. This, in turn, makes them easier to manage and manipulate, for example, getting rid of components when unnecessary.

RPA combines rule-based software with APIs and User Interface interactions to execute routine tasks across different systems.

Common examples of RPA technology include:

  • Digital bots
  • Cross-platform scripting
  • Cross-platform integration
  • Process Orchestration – for managing and coordinating multiple bots across different tasks.
  • API integration
  • GUI automation tools – for interacting with graphical user interfaces to perform tasks.
  • Low/no-code interfaces
  • Optical Character Recognition (OCR) – extracting data from scanned documents and images.
  • Error Handling and Recovery Mechanisms – for automated resolution of errors during task execution.

The AI Perspective

AI, on the other hand, is not intentionally programmed to a tee to follow a predefined algorithm; rather, it constructs statistical models for the data it’s seen before and uses these models to better operate on the data it’s presented with. This model of operation is better suited for tasks that require more context, such as automating financial reporting and providing personalized recommendations.

Common examples of AI technology include:

  • Chatbots, virtual assistants (like Siri or Alexa), and language translation tools
  • AI-powered fraud detection systems
  • recommendation engines (Netflix, Amazon)
  • Predictive analytics
  • Facial recognition
  • Medical image analysis
  • Autonomous vehicle navigation
  • Voice-to-text software and hands-free control systems.
  • Robotics with AI, such as service robots, warehouse automation robots, and surgical robots
  • Tools that create text, images, music, or code based on prompts
  • Customizing ads, search results, or product suggestions

Conclusion to RPA vs. AI

  1. AI can identify patterns and extract insights from unstructured data, such as text or images, which RPA cannot process due to its rule-based limitations.
  2. Unlike RPA, AI solutions are designed to adapt and improve over time through Machine Learning. This enables these tools to handle tasks with variability and complexity that go beyond the predefined rules followed by RPA.
  3. RPA is used widely in the automation of manual processes. Take cold email outreach: the software reaches out to prospects, tracks their engagement, and follows up with them, all on autopilot.
  4. RPA streamlines database management, task automation, candidate screening, and document verification. It enhances customer experiences, helps with risk assessments, takes charge of bug tracking or link tracking for affiliate marketing, and can automate a large portion of other business processes. AI, on the other hand, has a wide range of applications in business, mostly thanks to just how powerful this technology can be. If the model you’re using is efficient and trained for your purposes, implementing AI in various areas of your business operations can have profound effects on time and resource savings, which, in turn, can boost profitability.

AI can be generally used to tackle tasks that are too complicated or nuanced to be handled by a bot with a script (compare RPA). While both technologies are incredibly useful, it’s important to recognize where each one “shines.”

From RPA to Intelligent AI-powered Automation

Robotic Process Automation is great for automating repetitive, rules-based tasks, but struggles when it comes to interpreting patterns or handling unstructured data. In contrast, Artificial Intelligence thrives in these areas. It offers sophisticated capabilities like pattern recognition, advanced data analysis, and data-driven decision-making.

Today, business owners and team leaders have the option of combining RPA and AI, achieving intelligent process automation—RPA streamlines structured tasks, while AI tackles unstructured data and more complex decisions.

These technologies complement each other perfectly. Integrating AI with RPA enhances its capabilities, creating more efficient, adaptable, and intelligent workflows. That’s why businesses are increasingly adopting AI to optimize their operations.

How AI and RPA Complement Each Other

AI is not here to take over RPA; rather, this new automation technology can be used to get even more benefits out of Robotic Process Automation. RPA is designed for predictable tasks, whereas AI shines in the analysis of unstructured data and forming predictions.

Combining these approaches, keeping their respective strengths in mind, will give you a competitive edge.

Let’s explore how both technologies complement each other.

How RPA Amplifies AI

  • Data generation: RPA bots have the ability to quickly retrieve, prepare, standardize, and tag data sourced from different systems, thus generating training data suitable for an AI model, which further accelerates AI development.
  • Legacy system integration: Legacy systems lack APIs to engage with an AI. However, since RPA integrates with these systems, it opens up the possibility to utilize AI even when running on outdated software systems.
  • Breaking down AI work principles: RPA models can help better understand how AI models operate and the steps they take to perform certain actions. RPA can help document these seemingly hidden actions and help identify potential areas for improvement or make appropriate adjustments.

How AI Amplifies RPA

  • Exception management: AI can help identify and correct any unexpected operational conditions like unsatisfactory data or incorrect data formats, and ensure minimal disruptions and interruptions by improving the execution of RPA workflows.
  • Process optimization: AI reviews performance data to suggest workflow improvements, making RPA operations more efficient.
  • Power of prediction: Leveraging historical data is where AI can show its strengths. AI anticipates potential problems and recommends solutions, ultimately reducing downtime and boosting efficiency.

Why Adopt AI-powered Automation

Now that we’ve broken down how AI and RPA can be used synchronously to complete your AI-powered automation strategy, the question arises: Should you consider implementing AI-powered automation?

Some AI applications may not be justified for simple tasks. However, with so many powerful applications, it can offer profound benefits in many aspects of business operations.

Improved Efficiency and Accuracy

AI-powered automation takes over routine tasks, reducing manual workload. Let your team focus on more complex tasks instead of repetitive, mundane work. In some cases, you can fully replace teams with AI-powered automation.

Enhanced Decision-Making

AI can amplify your automation efforts by taking care of making predictions and informed decisions. These tools can make conclusions and outline next steps much faster and more accurately than humans, thanks to analyzing vast amounts of structured and unstructured data. Smarter, data-driven decisions are best for business operations: they improve internal efficiency and boost customer satisfaction.

Scalability Across Processes

AI-powered automation adapts easily to changing business needs, without sacrificing performance. This adaptability makes AI ideal for scaling workflows in areas like customer service, supply chain management, and financial analysis, among many others.

Use Cases of AI-Powered Automation: Leveraging RPA and AI in Business

AI-powered automation excels in sales, marketing, customer support, customer relationship management, supply chain, and human resources. It’s integrated by financial institutions, retail, e-commerce, real estate, and across many other industries.

Here are some use cases of the application of intelligent process automation.

Personalized customer self-service

Challenge

With rising customer expectations, it becomes costly to provide smooth customer service. Customers want their queries to be addressed quickly, plus they expect a high level of personalization. The quality of customer service directly affects business profitability and competitiveness.

The question is: how can growing businesses ensure smooth customer service and a high level of personalization, while staying within tight budgets?

Solution

Implementation of AI chatbots, assistants that handle customer queries when human support agents are not available (for instance, during their non-working hours).

Traditional chatbots handle simple queries quite well, but they often fall short when it comes to complex interactions. Regular bots work with predefined scripts, limiting their responses to programmed questions, and they can completely miss the nuances in language or perform subpar with more complex queries.

In contrast, AI-powered chatbots leverage machine learning and natural language processing to understand context, personalize responses, and learn from past interactions. This enables them to handle a wide array of inquiries, even those that require subtlety, making them far more versatile than standard chatbots.

AI chatbots provide a dynamic and interactive customer experience. Instead of offering static, templated responses, these bots adjust their answers based on the conversation, creating a more authentic and human-like interaction.

RPA gathers data for AI algorithms to make credit decisions

Here is a real use case of AI-enhanced business process automation in finance.

Challenge

Some financial institutions develop their own predictive AI algorithms for credit decisions. But they face a challenge: how to feed relevant data into those tools?

Another challenge is to streamline the process for the applicants so that it works smoothly on the clients’ end.

Solution

The solution is the incorporation of AI-powered automation.

Here is how it works in the end: when a borrower applies, hundreds of robots begin working, polling databases and extracting information. Once completed, the bots input the data into the predictive algorithm. Leveraging extensive training on historical data from approved and denied applications, the AI generates a decision—streamlining a process that previously took hours or days into one that now concludes in minutes.

Streamlining the supply chain

Another great example of both technologies in business is in the supply chain industry. AI-powered automation in the supply chain can deliver optimization capabilities, including accurate capacity planning, improved demand forecasting, enhanced productivity, and lower supply chain costs. RPA handles repetitive tasks while AI identifies errors that human workers might overlook.

Conclusion

To grow a business today, you need to consider implementing technologies. Although RPA and AI work well on their own, combining them through AI-powered automation unlocks enormous potential. This integration allows businesses to accelerate workflows, improve customer service, reduce manual tasks, and achieve significant cost savings. Prominent use cases include customer support, marketing and sales automation, supply chain management, customer relationship management, data tracking, and other critical business operations.

The post From RPA to AI-Powered Automation: Transforming Business Workflows appeared first on Comidor Low-code Automation Platform.

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Gartner’s Intelligent IT Automation Trends for 2023 https://www.comidor.com/news/industry-news/it-automation-trends/ Wed, 01 Feb 2023 14:07:53 +0000 https://www.comidor.com/?p=36252 The COVID-19 pandemic has single-handedly changed the way we used to work, shop, or avail services. We have seen how emerging technologies and automation are being used to implement digital transformation initiatives across industries. Businesses are investing heavily in IT Automation to make their move towards hybrid models and cloud-native operations.   Gartner Inc. is known […]

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The COVID-19 pandemic has single-handedly changed the way we used to work, shop, or avail services. We have seen how emerging technologies and automation are being used to implement digital transformation initiatives across industries. Businesses are investing heavily in IT Automation to make their move towards hybrid models and cloud-native operations.  

Gartner Inc. is known for releasing research papers, which foresee the trends that will influence technology, IT, and businesses in the coming years. These automation trends reflect the changes that have been brought in by IT automation to enhance business productivity and customer experience. Businesses are looking for much-needed innovation and agility so that they can optimize their IT operations to deliver value-based KPIs while improving their overall profitability.

In this blog, we have covered Gartner’s 2023 technology trends, most relevant to intelligent IT automation. If you are an entrepreneur or an IT professional, then these trends will help you accelerate your digital business initiatives. 

Here we have some exciting stats about the IT automation trends: 

  • By 2024, the improvements in digital workplaces and processes driven by IT automation will help organizations spend 30% of their time on IT operations management, and the rest on engineering and designing. 
  • By 2024, IT automation will assist digital resources to spend 30% more time on engineering, as maintenance and endpoint support will be taken care of by automation tools. 
  • By 2023, 40% of platform and product teams will utilize AIOps to reduce unplanned downtime by 20%.
  • More than 80% of survey respondents maintained that the need for innovative digital services and products will increase in 2022-23. 

Top IT automation Trends 

1. LNCA (Low and No Code Automation)

This technology will be a game changer for enterprise-wide automation initiatives. Low-code/No-code Automation platforms allow business owners and users to develop and deploy enterprise apps with little or no coding expertise. 

As per Gartner, we may witness an almost 50% rise in enterprise automation using Low and No-Code Automation, as more organizations are poised to adopt this efficient and cost-effective method of automating applications and business processes.  

Gartner also predicts that by 2025, approximately 70% of enterprise applications will be developed using low-code or no-code technologies. 

It is a massive increase of 25% if we compare it with 2020. Furthermore, the Google engineering team maintains that by 2025, more than 50% of enterprise or business applications will be built by those who don’t consider themselves conventional developers (mostly known as citizen developers).

2. Hyperautomation

 It is a business-driven and disciplined approach to swiftly determine, validate, and automate IT and business processes with ease.  

It will continue to be a hot trend in enterprise automation in 2023. We may witness the rising adoption of Hyperautomation due to its wide range of use cases, which enables organizations to automate complex and industry-specific tasks and processes.   

Hyperautomation offers an unprecedented capability to learn from human behavior, which allows consultants to gain momentum due to its increasing capability to learn from humans and automate a large number of monotonous manual tasks and processes.  

 The usage of Hyperautomation will only increase further as businesses will leverage its capabilities to reduce the overall cost and enhance their process efficiency. 

3. Workflow Automation, Management, and Orchestration

In an increasingly competitive world, most enterprises are automating their workflows to extend the speed, efficiency, and agility of their business. Organizations are now aggressively adopting AI-aided decision-making and RPA (robotic process automation) to avail the benefits of automation.  

Furthermore, workflow orchestration and automation technologies are more in demand than ever before. There is a plethora of standalone low-code or No-code workflow tools in the market, which offer many exciting features and capabilities. 

For example, Comidor’s workflow automation engine is fully compliant with BPMN 2.0 and comes with AI and RPA capabilities, ready-to-use integrators, and more. Get rid of manual tasks and endless paperwork, and streamline your business processes, automate data manipulation, and get instant AI capabilities – no coding required. Take control of your workflows and start working smarter today.

4. Intelligent Document Processing 

Intelligent Document Processing (IDP) is another enterprise automation technology that has evolved dramatically in recent times. It enables users to understand the context and intent of the documents, and ensure better accuracy while automating the document-based processes. IDP improves document processing time, which ultimately enhances customer experiences. 

We are pretty much sure that most of the IDP service providers will extend their value proposition to incorporate Unstructured Data Processing (UDP) as a whole.  

While we already have innovative applications of Artificial Intelligence such as NLP, video analytics, and computer vision, UDP-driven solutions can help fetch unstructured data from different sources and process them. It can work on a plethora of data types such as text content, social media post, videos, and even phone calls.

5. API Management 

An application Programming Interface (API) is a code-based intermediary that allows two different apps to communicate with each other to perform a specific function. API plays an important role in the implementation of digital transformation and hyper-automation.  

APIs can automate the backend workflows and also expedite data transfer between numerous independent systems. 

API management tools and technologies have gradually become more valuable for enterprise automation, as they offer higher visibility into enterprise-wide functions and enable organizations to manage their APIs effectively and securely.  

This trend will only increase in 2023, as more organizations are poised to leverage the capabilities of APIs to kickstart their digital transformation initiatives. 

Gartner IT automation trends infographic

Three major takeaways from Gartner’s IT automation trend predictions: 

  1. The adaption of IT automation is quickening at an unprecedented pace, with more enterprises and start-ups building completely automated value chains. 
  2. The surge in data diversity will only push enterprises to adopt innovative computing and storage technologies. 
  3. More IT leadership positions are emerging in the IT operations and Customer experience domain. 

Final Words  

 We are living in an era where automation is playing a pivotal role in the IT-led transformation of businesses across all industries. Enterprises are now embracing scaled automation solutions to avail the benefits of digital transformation to enhance their customer experiences while improving efficiency  

We are pretty much sure that IT automation will be a critical factor for enterprises to drive innovation, devise competitive strategies, and get a niche edge ahead of their competitors.  

As an entrepreneur, leader, or IT professional, it is crucial for you to stay up to date on the latest technologies, IT automation trends, and tools. It will help you to leverage the capabilities of automation to avail the intended outcomes for your business. 

Author bio:
Gourav Sharma is a Digital Marketing Strategist at Arka Softwares, a leading Web, and Mobile app development company. He has 4 years of experience in the Information Technology industry. He spends his time reading about new trends in Digital Marketing and the latest app development technologies.

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8 Keys to Successful Digital Transformation in 2022 https://www.comidor.com/blog/productivity/digital-transformation-keys/ Thu, 03 Feb 2022 15:38:29 +0000 https://www.comidor.com/?p=32963 The post 8 Keys to Successful Digital Transformation in 2022 appeared first on Comidor Low-code Automation Platform.

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The digital transformation began gaining momentum in 2020 and continued since now, as the world gets affected by the economic downturn led by the Covid pandemic. While the pandemic has made it difficult to predict the future digital transformation trends, it is most certainly going to emphasize strategic and urgent needs as the pandemic persists. So, let’s find out some of the possible keys to digital transformation, businesses should take into account as they enter yet another year filled with unforeseen events. Only time can tell the scenarios that people will experience in the future, but for the time being, here is a list of digital transformation keys in 2022. 

Why Does Digital Transformation Matter | Comidor Platform1. 5G Network

While implementation of the 5G network was projected for 2021, it could not come to fruition due to the pandemic putting a prolonged halt to all industrial activities. However, the deployment of 5G in the 6GHz bands continued through the year and has significant growth potential. 5G has already been launched in several parts of the world and is expected to fully function by the end of 2022. The superior experience will drive more businesses to adopt the super-fast networking and devices that support it. 

2. IT infrastructure for Hybrid Cloud

With the hybrid cloud model already making its mark in enterprise environments, more small and medium-sized companies are also paying close attention to their IT infrastructure. Most of them are using the public cloud in one way or another.

The unification of various systems into a hybrid cloud environment is the basis of digital transformation for even technologically advanced companies. The Digital Business Survey by IDG found that multi-cloud environments, software-defined storage and networking, IoT, edge computing, and of course Artificial Intelligence (AI) are the most commonly adopted technologies. 

These trends are expected to continue in 2022, with cloud-based technology and AI algorithms driving business in every conceivable way. 

3. A robust Disaster Recovery Plan

Experiencing some of the dreadful events of 2020, it’s almost comical to review the business continuity plan of 2021. Disaster recovery will lay the foundation for a speedy recovery from unprecedented events, hurting a business’s revenue stream. However, to survive in the long term, businesses have to build their resiliency against these events. Having a recovery plan will give them more control over tackling unknown situations.  

Building business resiliency | Comidor

Business continuity will be the top concern for blue-chip companies that try to sustain themselves in the competitive working environment. Employees will be more frequently trained to deal with the crisis moving forward and would also be made capable of having a robust recovery plan after being stuck in one place due to the pandemic. 

4. Innovation-Driven and Agile Operations

To remain versatile, businesses must keep themselves closer to innovation and development and ensure a considerable software and technology budget for testing, developing, and validating products. Businesses will try to be in an equal position where they gain more robust control over their operations while improving the consistency of their innovations.  

This will ensure that all the existing tech resources of the businesses are being sustainably utilized while the digital transformation managers get themselves one step closer to the main objective. This needs a DevOps approach to IT management – implementing Lean and Agile practices and focusing on speedy service delivery 

DevOps is a complete change in culture and application development lifecycle. It enables different teams to collaborate using technology towards a single goal of process improvement in a functional area. This is what you really call transformation. 

Companies would also have to be more determined to develop creative ideas to keep their operations on track so innovations cannot be delayed. You need to become more streamlined if you want to keep track of the progress of your transformation initiatives. 

5. People-First Approach

It has become more apparent how keeping employees as a priority is critical for a company’s overall success. When employees are satisfied with a company’s operations, they are more likely to align their vision with the management’s objectives.

Especially during the pandemic, employees who stayed through the difficult phase of the organization were once valued by the management and were compensated for their commitment and hard work.  

Communication principles will be effective for change management in the future because employers will be more satisfied and employees can feel involved. They will be treated as the primary drivers of digital transformation as digital products result from employee creativity.

While most businesses might assume the most significant enabler of digital transformation to be technology, they are majorly mistaken. It is majorly the people. And, this is also a substantial problem in today’s market as most people don’t have the appropriate skills and strategy to leverage digital capabilities.  

6. Composable Businesses

As the pressure to innovate continues to rise, organizations are likely to seek greater agility, leading to an increased drive to composable and event-driven architectures. Hence, it is critical for businesses to invest more in research and development, which would make them closer to their stakeholders’ needs.  

At the same time, they try to build their brand presence and garner more attention for their contribution to society. Cutting-edge solutions and hyper-automation tools will be the key to long-term prosperity, and digital transformation that will enable firms to operate with a higher ability to cater to more comprehensive needs. 

7. Digital Value supported by Automation

Businesses need to adopt automation wholeheartedly. With the increased adoption of remote work post-pandemic, automation has gained even more importance, especially in the areas of marketing, sales, customer service tools, and customer support. 

Hence, it will be critical to determine the rate at which redundant work is being replaced with automated technology to speed up the process and enable the firm to cater to the broader needs of the market at a smaller time frame. Full-stack automation will help you transform the customer experience with tech tools such as: 

8. Default Security

As more and more business assets move online, companies are likely to increase their spending on protecting these digital assets and ensure not being exposed to cyber-criminal activities, which is essential to successful digital transformation. 

Whatever the digital transformation is going to be, management has to ensure they have the right leadership skills to tackle the situation that comes their way. On the other hand, employees must be more open to helping companies build their brand positioning so they can be better placed to suffice the challenges and emerge stronger than before. Hence, the age of digital transformation will also make the managers emphasize maintaining a strong connection with the existing employees

Digital Transformation Keys | Comidor Digital Transformation Facts

According to the sources of IDC, global investment in digital transformation has already grown by 17.1%, which rounds off to a staggering $2.3 trillion by 2023. The geographical region spending the most on digital transformation is the United States, followed by Europe and China. The financial sector will observe the most extensive digital transformation among other industries. Still, enormous investments are expected to be made in robotic manufacturing, as experts forecast the expenditure to double within three years. An exponential shift of companies to B2C e-commerce is also likely to take place through 2022. 

Achieve Digital Transformation with Comidor

Digital transformation is happening in every industry, and it’s important to create a strategy including all the digital transformation keys for the transition. With more and more people making use of digital technologies and solutions, it becomes important to have a platform that helps you with your digital transformation initiatives. Comidor Low-Code Hyperautomation platform enables organizations to go digital with less time and resources. It helps them automate, integrate, and extend their operations. Our platform provides an integrated suite of productivity and knowledge management tools along with cognitive automation capabilities for automating end-to-end processes, developing custom Low-Code apps, integrating existing systems, and connecting to everything.

Author bio:
Ankit Thakor is a marketer by trade and a football player by passion. He is a Saas Marketing Specialist at SoftwareWorld. He specializes in using compelling content to capture consumer dollars for world-class SaaS brands. 

Launch your automation journey with Comidor, the best value for money solution

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What is Digital Transformation? Definition and Strategies  https://www.comidor.com/knowledge-base/hyperautomation-kb/what-is-digital-transformation/ Fri, 22 Oct 2021 14:59:17 +0000 https://www.comidor.com/?p=32204 The post What is Digital Transformation? Definition and Strategies  appeared first on Comidor Low-code Automation Platform.

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Many organizations are now looking to digital transformation as a way to stay competitive in today’s digital environment. The new digital normality introduced novel innovations and changes in the market of both technological solutions and services. For instance, we witness a sudden twist in how customers connect with their favorite technology brands. Consequently, businesses had to respond. In an unexpected turn of events, those who have managed to implement digital transformation into their business model were more likely to succeed. Digital transformation is a process that is not easy, but it needs to happen. It will change the way you do business and how you connect with your customers.

Before we look at how businesses are becoming competitive through digital transformation, let’s establish a clear definition of what digital transformation is.

What is digital transformation? 

Simply put, digital transformation is the process that involves the implementation of new digital technologies into all areas of business, to improve business processes and customer experience. It goes beyond updating your equipment and expanding your operations: it transforms an organization’s business model and the way it interacts with customers, employees, suppliers, and partners. In other words, digital transformation is a fundamental change in how a business is run, how it is managed, and its operation. As said before, it is an opportunity to create or transform a business model. It changes the management structure, the way its customers can access the business, and the corporate culture, too. 

Finally, digital transformation is not a buzzword. It is a fundamental business imperative that every company in every industry must embrace to remain competitive. Successful digital transformation requires organizations to rethink their value chain and create new customer experiences as they design new products, services, and processes.

How do I achieve digital transformation in my business? 

There are many digital transformation strategies available for any niche on the market. However, most of them revolve around six important points that you should consider before attempting to alter your business model. If you are unsure whether the digital transformation is a viable option, read why now is the perfect time for a digital transformation and then proceed. 

Digital transformation strategy | Comidor Platform

  1. Laws and Regulation 

Laws and regulations play a significant role in encouraging businesses around the world to embrace digital transformation. You should understand how the legal system functions in your country before even attempting to execute a digital transformation strategy. In the data-driven world, we live in, a big chunk of the work to be done relies on collecting and processing data on your customers as well as your competition. Some laws may prevent you from doing this and halt your progress. On the other hand, there may be a legal framework that inspires businesses to adopt new technological advances. Finally, this legal framework may provide more security and affordability, thus, supporting innovation initiatives. Understanding what you can and cannot do is a vital step toward a successful transformation. 

2. Understanding Your Current Position in the Market and Within the Tech Sector. 

  • What is my market cap?
  • Can it be expanded? 
  • Is there any competition in my sector? 
  • If yes, how saturated is the market? 
  • Are there any market segments that have not been addressed yet? 
  • Are there any product/service-related gaps to be filled? 

Answering these questions is a good way to start. If you are a start-up, these questions sound all too familiar, but answering them with the goal of digital transformation in mind can offer a new perspective and yield new answers. Understanding what the market needs and what new services and products you can offer can push towards sustainable high performance. 

3. Understanding Your Business Processes 

Understanding your business processes is a must. The management structure, the research, and the execution of any decisions in offering a product or service are all areas that digital transformation can reinvent. A great example is purchase orders. Let’s suppose that one of your employees needs new equipment. The previously, manually performed process can now be automated using an automation platform, thus, achieving a complete business digital transformation. Employees don’t need to go from one office to another to ask for order approvals and handle multiple paper-based or huge Excel files to fetch data. Order files are generated automatically, using RPA tools, and are sent to the right vendors via email within minutes. Typography errors are eliminated, time is saved, manual tasks are avoided and productivity is increased.   

 4. Understanding Your Customers and Data Related to Them

Data collection and analysis are an integral part of a digital transformation strategy. It goes beyond the standard demographics of age, sex, race, and income bracket and expands into habits, detailed profiling, behaviorism, and predictions based on historical movements with the assistance of cognitive automation technologies. For example, AI systems allow businesses to analyze purchasing behavior and delivery preferences, making future suggestions based on historical data and findings. Another great example is Amazon: they have reinvented the supply chain, understand their customers very well, make personalized suggestions, and have managed to utilize digital technologies to reinvent delivery as well: same-day delivery is becoming a reality across the USA. 

5. Building a Reliable Digital Transformation Strategy

Now that you know where you are and where you should head and how to get there, it is time to customize a digital transformation strategy. Consider what innovation you can bring to the market, and what digital solutions you may need to understand your clients better. Lastly, think of how your technology can make them more satisfied. Think of NIKE – their customers can design their shoes – a mass approach with an individual aspect to drive the change and development of their products. Not only that, but NIKE can expand on designs created by their customers rather than start from scratch every single time. 

Another example worth mentioning is the case of one of our clients, McKesson. McKesson, the global leader in healthcare, was looking for an automation solution to automate a manual, inefficient invoice approval process that was until then based on an Excel template. Comidor solution, which was built in 14 days, was a powerful workflow with RPA capabilities. After the implementation of our solution, McKesson achieved full visibility over each approval request, and instant, real-time accessibility to invoice details. 

Why Digital Transformation Matters | Comidor Platform

Final Thoughts – Why Does Digital Transformation Matter? 

You should understand that digital transformation is not about switching from cold calls to cold emails and handing out the newest iPhones to all your employees. It is not a substitute or an expansion of what you already offer to the customers. Still, it is rather a way to reinvent your production process with digital technologies as the backbone of the new model. These digital solutions can ensure that you have exactly the cues you need to accelerate your business. 

Achieving digital transformation with Comidor No-Code/Low-Code Hyperautomation platform  

No-Code/Low-Code Hyper-Automation platforms enable rapid and lasting transformation within your business. You need to specify your business needs and find the best solution that offers the features and functionality you require. That’s where the Comidor platform comes in. We offer powerful, intelligent process automation solutions that accelerate your business digital transformation.   

Schedule a call with our expert team and get an inside look at our advanced automation features. 

Author
Donald Fomby is an IT enthusiast. He outsources most of his work and focuses on observing and improving the workflow at Online Writers Rating. In his spare time, he codes in HTML and works on his WordPress projects.  

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What is Hyperautomation? Definition, Examples, and Insights https://www.comidor.com/knowledge-base/hyperautomation-kb/what-is-hyperautomation-definition-examples-and-insights/ Thu, 05 Aug 2021 11:59:00 +0000 https://www.comidor.com/?p=30886 The post What is Hyperautomation? Definition, Examples, and Insights appeared first on Comidor Low-code Automation Platform.

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In a world so technologically advanced, automating your business processes is quickly becoming the way of the workplace. Hyperautomation takes all of these ever-evolving technological tools into account to streamline, automate and optimize end-to-end business processes.   

So, what is hyperautomation? Read on to learn more about this growing technological trend and why you should be implementing it in your business.  

What is Hyperautomation? 

From a brilliant combination of tools such as Low-Code platforms and Business Process Management (BPM) software emerges hyperautomation. This advanced technological approach goes beyond simply automating small routine tasks and instead lead to the automation of entire business processes.  

According to Gartner, the inventor of hyperautomation, this method can be defined as “a business-driven, disciplined approach that organizations use to rapidly identify, vet, and automate as many business and IT processes as possible.” 

In other words, it is a way to connect people to processes and information in a central automated hub. From project management to marketing processes to enterprise architecture, hyperautomation software like Artificial Intelligence (AI), Machine Learning (ML) and RPA, can automate routine, repetitive processes, provide data to companies through advanced analytics that were previously unattainable, and promote business-wide growth.   

 This technological approach falls in line with the digital transformation that businesses are seeing across all industries. The goal is to eliminate the need for humans to spend time on small daily tasks that can instead be handled automatically by a robot. Ultimately, companies are trying to free up time for employees to tackle larger, more complex tasks during their days.  

Hyperautomation Tools 

Hyperautomation Tools | Comidor Platform

Since this technological method is so advanced, it often works best with a combination of automation tools and platforms to truly automate your business processes. These necessary tools may include:   

This approach to automation can seamlessly integrate into your business and automate manual processes with its hyper-intelligent platforms.  

The Benefits of Hyperautomation 

Investing in hyperautomation can reap plenty of benefits that will assist in the growth and success of your business. Check out just a few of these phenomenal benefits below.  

Rapid Implementation 

With so many platforms and tool options to integrate into your business, implementing hyperautomation has never been easier. You’ll have the ability to build applications and manage your business with little to no coding or additional IT support. Newer cloud-based solutions also offer this hyper-intelligent automation software instantly at an affordable cost. You can begin automating your business processes with the simple click of a button. 

Simple Interface 

Since these automation platforms are powered by Low-Code, you can easily create and adjust applications to fit your business’s ever-changing needs. Drag-and-drop functions simplify the process of application building, or you can turn to AI and RPA that will determine what processes should be automated and create bots to handle those tasks.  

Integrate Key Data 

By using hyperautomation software in your business processes, you can create a centralized database that will hold all of the information your team needs to make decisions and complete their responsibilities. You’ll also have the ability to protect any private information by implementing role-based access rights to users in many of these tools and platforms that hyperautomation relies on. 

Create Connections 

Gain a competitive advantage in your industry by using hyperautomation software to create both customer and team connections. Not only will your team be able to communicate more efficiently, but you’ll also have the opportunity to create a personalized customer experience using hyperautomation solutios. Keep your customers and employees happy with simple, automated systems.  

Improve Results 

Since the goal of hyperautomation is to eliminate the need for humans in simple tasks and speed up complex processes, your business will likely begin seeing faster results. Additionally, with more time to focus on larger-scale tasks and improved communication, your team will be able to produce higher-quality products and services for your customers. You’ll save time and money automating your business processes while keeping customers happy and coming back.  

Hyperautomation examples

Now, we will demonstrate how a hyperautomation approach can effectively be applied to different hyperautomation examples.

1. Hyperautomation for Asset grading

The aim of the asset grading process is to create a system for proper asset evaluation. The whole procedure is growing in complexity due to many factors like reliability, safety, and cost-effectiveness that must be analyzed with accuracy before proceeding to asset framing. Hyperautomation technologies assist the decision-making with supportive ML models that are trained with historical data and minimize the time that analysts spend gathering, selecting, and visualizing data. Furthermore, thanks to hyperautomation, companies gain deeper insights into the actual value of oil and gas assets. At the same time, they take advantage of RPA technologies to create reporting documents with diagrams and real-time workflow data.

2. Hyperautomation for Customer Identification and Verification

Let’s see in detail how a Hyperautomation solution enables businesses to solve customer verification challenges and offer a fast, easy and secure customer onboarding experience. By leveraging hyperautomation, companies verify customer’s identities, reduce financial risks, speed up onboarding and achieve full compliance. The solution by a hyperautomation tool is to provide OCR technology to scan and extract information from customers’ ID files, and finally, store it inside the platform. Moreover, the hyperautomation system performs money laundering checks, by sending a Rest service request to a central Money Laundering database. Based on the evaluation result, a digital contact document with customer data and e-sign is produced with RPA by the system.

3. Hyperautomation for Customer Request Management

Hyperautomation platforms powered with Natural Language Processing (NLP) and AI/ML enable businesses to power their customer service and achieve exceptional customer experience by automating complex requests. How hyperautomation can enhance your customer request management?

  • Public forms for engaging external users to trigger internal processes
  • ML for text classification that assists in request categorization based on historic data and fast decision making
  • AI for analyzing customer’s sentiment and determining whether the customer’s attitude is positive, negative, or neutral
  • Workflow automation with Low-Code for process orchestration and process performance monitoring

Hyperautomation across industries

Hyperautomation is a software that can automate any process and make it more efficient. This software is designed to be used in any industry and can be applied in various areas. Some of the industries where hyperautomation could make an impact are:

Manufacturing

Manufacturing is one of the industries where hyperautomation could make an impact. With the use of AI in manufacturing, people are not only able to produce more but also produce better quality products. There are many benefits to using AI in this industry, such as AI-enabled equipment that can detect flaws and defects before they happen, which decreases the cost and time required for inspection.

Retail

Retailers have already started to use RPA and AI in stores to help customers find products more easily or to assist with inventory management. With AI assistance, retail managers can not only make sure that their staff is trained properly but also reduce their workload. As said before, AI assistants can take care of inventory and supply chain management which are two of the most time-consuming tasks for retail managers.

Healthcare

Healthcare has become one of the most exciting industries to explore in terms of AI. Automation can help with a variety of tasks, such as collecting data, scanning medical records and detecting diseases, scheduling appointments, and providing tips on healthy living.

Finance

Finance is one of the industries that have been most affected by the advent of hyperautomation. Hyperautomation deals with automating repetitive tasks and operations, thereby reducing human involvement and workloads. It is typically used to automate back-office functions such as accounting, reconciliation, reporting, etc., which are not customer-facing or decision-making functions.

Join the Digital Transformation with Comidor 

Stay a step ahead in this period of digital transformation with Comidor. Our innovative and sustainable Low-Code automation solution can streamline your business processes to promote the growth and success of your company. Automate your workflows, build useful applications, and manage every aspect of your business with ease using hyperautomation software.  

 Contact Comidor today to learn how our hyperautomation software can streamline your current business processes and lead to higher-quality results! 

* Featured image: everythingpossible/Stock.adobe.com

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Enabling Digital Transformation with a Hyper-Automation Platform https://www.comidor.com/blog/business-process-management/digital-transformation-hyperautomation/ Mon, 31 May 2021 16:04:36 +0000 https://www.comidor.com/?p=29982 The post Enabling Digital Transformation with a Hyper-Automation Platform appeared first on Comidor Low-code Automation Platform.

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In the ever-evolving modern world of business, transformation pioneers are under constant pressure to keep companies competitive. They need to lower operational costs and boost their productivity simultaneously by improving and streamlining business processes.

Businesses and organizations need to change their businesses’ operations and implement new models consistently. And many struggle to stay ahead of the pack. A vast number of organizations are now turning to Hyper-Automation platforms to address these obstacles and enjoy better operational efficiency, customer service output, and overall service innovation.

Hyperautomation platforms enable businesses to connect the information, processes, and people to improve their workflow efficiency and efficacy. All while decreasing their operational expenses. Today’s businesses need to streamline their workflows, incorporate data into daily processes, and create impressionable mobile end-user experiences to deploy services to their employees and customers as seamlessly as possible.

How Hyper-Automation Platforms Can Help

Business transformation in the 21st century is being increasingly driven by the impacts of advanced technologies like cognitive automation and the Internet of Things. Transformation must be prompted by methods that rapidly trial new ideas if it is to prove sustainable in the long run.

Hyper-Automation platforms can effectively offer companies the level of progress-facilitating metrics and tools such as project management, organizational tools, business performance analytics, and enterprise architecture.

The current automation landscape is an amalgamation of interconnected segments. Classic BPM vendors, and new faces in the Low-Code industry are aiming to gain their share of the pie. Modern Hyper-Automation solutions of all shapes and sizes are cementing themselves as a must-have digital transformation tool in the midst of the confusion and overlaps that have ensued.

Companies that adopt Hyper-Automation solutions are ultimately significantly more likely to meet their desired business goals and outcomes. The combination of classic business process modeling, automation, and low-code monitoring allows businesses to develop applications rapidly with minimal manual coding.

It’s the pairing of this low-code approach and traditional BPM principles that have become the driving force behind BPM’s newfound agility. At the same time, the rapid development cycles provided by Low-Code development also gives organizations the tools they need to uncover and harness innovation opportunities they may otherwise have overlooked.

How to Accelerate Digital Business Transformation in 2021 

1. Integrating essential data 

Data integration involves combining data from many sources into a single, user-friendly platform. Doing this makes it much simpler to manage and access your enterprise’s most important information.

Integrating your data into your company processes ensures that users always have accurate, up-to-date information at their fingertips. This means that end-users, and even members of upper management, can rely on a centralized data source to make more effective and well-informed decisions.

2. Connecting your workforce

Hyper-Automation platforms allow you to streamline your business’s processes and data flows using intuitive technology that connects your customers with your company. These solutions enable businesses to totally transform how they conduct business within a digital space. The world’s most progressive companies today are adopting futuristic business models and protocols that provide maximum value, both for employees and their customers.

Companies that adopt automation solutions which allow them to innovate and implement targeted changes more rapidly will be able to work harder and smarter. This supports long-term growth, and makes them more competitive in the marketplace. They are also better equipped to bridge existing gaps between their departments and simplify processes for both external and internal customers.

3. Developing Low-Code applications

The Low-Code and Hyper-Automation platforms have the power to boost development rates for every kind of applications. Plus, they help IT and programming teams to stay ahead of their business’ demands.  

A survey from Gartner based on senior executives discovered that half of the CEOs surveyed expect to see notable digital transformations in their industries within the next 5 years. The creation of Low-Code applications is seen as the key to achieving these evolutions.  

Choosing the Right Hyper-Automation Platform for Digital Transformation 

There are several factors you need to consider when choosing a Hyper-Automation Platform to facilitate digital transformation for your business. The should offer: 

  • Rapid and simple setup and implementation. Automation solutions have a reputation for being challenging to use. Newer cloud-based solutions address this issue by offering instant registrations and significantly lower fees. 
  • Superior ease of use and learning. Once you have selected a platform, you will need to create your processes and onboard your staff. The level of difficulty these tasks carry will depend on the software provider you choose.  

Some solutions require in-depth technical knowledge to use them efficiently. This means that your employees will need to be trained on-site, or through online courses. You can avoid these hassles by choosing a No-Code/Low-Code Hyper-Automation solution, like Comidor, that offers a simple interface and requires no prior experience or knowledge to use.  

  • A high level of functional depth and streamlined software integrations. You need to integrate your software with your other business systems to gain the most value out of using it.  Most solutions offer either API-based or in-built integrations. In-built integration options come complete with built-in integration abilities for some software. This saves your staff from having to use software source code to build your own integration.

Selecting The Right Solution  

Hyper-Automation platforms have the power to enable rapid and lasting digital transformation within your business. You need to assess the specific needs of your enterprise to choose a solution that offers the features and integration abilities you require for growth and advancement. 

The essence of digital business transformation is a tech-driven reorientation of organizations away from internal facing processes, shifting towards customer-facing engagement. Every business comprises complex and connected groups of processes, people, and technologies. Low-Code and Hyper-Automation solutions can help businesses optimize workflows and build apps with Low-Code, simplifying their automation journey.

Author Bio: Jill Goodwin is a content champion for a variety of online publications. She often covers topics that cater to business owners and entrepreneurs with a strong focus on finances, productivity, management, and a few other topics.

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