Hyperautomation
The Power of Integrated Technologies
WHAT IS HYPERAUTOMATION?
In the automation anxiety era, Hyperautomation plays a crucial role by offering businesses advanced capabilities to revolutionize nearly any repetitive action performed by employees. It is a mechanism that uses a fine blend of digital technologies like Robotic Process Automation (RPA), Machine Learning (ML), Artificial Intelligence (AI), Chatbot, Optical Character Recognition (OCR), and integrations to ignite true digital transformation and dynamically redefine complex business processes that are error-prone or time-consuming.
CHALLENGES IN ACHIEVING HYPERAUTOMATION
To combat the implementation issues associated with hyperautomation, businesses must overcome the following challenges:
Ignorance About Hyperautomation
Businesses mistake hyperautomation for advancement in RPA. However, it is about making most automation-related technologies with a strategic approach.
Lack of Strategic Hyperautomation Plan
Achieving hyperautomation is not done overnight. It’s an ongoing process that needs a failsafe plan and strategy. Most hyperautomation plans fall flat because of lacking a strong strategy or plan.
Making Wrong Choices
Lack of right culture and environment can fail even the best technology or tool. Getting expert advice, automation partners, choosing the right people and processes for hyperautomation is what most businesses fail to get ahead with while implementing automation.
Challenges Posed by Various Technologies
Hyperautomation comprises various technologies like RPA, AI, ML, and Chatbots. These technologies get implemented in various use cases that may cause difficulties or give birth to challenges. Organizations fail to understand these technologies individually.
Weak Change Management
Businesses underrate change management while implementing hyperautomation. Organizations fail to enable their resources, people, or environment to withstand the new culture or environment created by hyperautomation.
Training Takes Time
It can take a long time to create training data before implementing hyperautomation. In some circumstances, synthetic data sets can help speed up the development of training data.
Human Interference
There will be times when humans must intervene in any complex operation that is automated using machine learning. The success of AI in automation depends on an easy-to-use human-in-the-loop solution.
Biased Systems
AI systems may contain biases encoded in the algorithm via prejudiced assumptions or in the training data.
Process Simplification Challenges
Every process has diverse issues and focuses, so putting an automated system to tackle all of them isn’t easy.
HYPERAUTOMATION vs. INTELLIGENT AUTOMATION vs. RPA
WHY CHOOSE AUTOMATIONEDGE HYPERAUTOMATION PLATFORM?
AutomationEdge’s hyperautomation has robust analytical tools and capabilities. The data restrictions of relying on a single automation technology like RPA can be overcome by hyperautomation. Automationedge’s hyperautomation solutions excel beyond traditional RPA and handle both structured and unstructured data. This enables firms to get critical organizational insights by accessing and analyzing data that has previously been inaccessible.
Unstructured data can also be converted into structured data for usage with RPA technologies via hyperautomation. This relationship exemplifies how many digital tools operate in unison to provide unrivaled efficiency.
Every business is immersed in repetitive protocol-based work that requires human data collection and entry, transaction processing, record reconciliation, and back-office work.
Cost Saving
Cloud computing reduces the cost of hardware and software ownership and maintenance while improving uptime
Scalability
A cloud solution is a highly scalable choice that can easily satisfy your growing operational requirement.
High Security and Compliance
AutomationEdge’s Cloud has been thoroughly tested and complies with ISO/IEC 27001:2013 worldwide cloud security standards and recommendations.
High Availability
AutomationEdge’s Cloud ensures that your bots have the best possible uptime, allowing them to work more efficiently.
AUTOMATIONEDGE HYPERAUTOMATION PLATFORM TECHNOLOGIES
AutomationEdge Hyperautomation platform is an integrated automation solution with all essential technologies for end-to-end process automation.
Conversational IT
With a single dashboard, AutomationEdge’s Conversational IT is a single pane window for smarter conversations. Its powerful pre-built AI automates service fulfillment and offers end-to-end automation for automatic ticket resolution.
Conversational RPA
AutomationEdge’s Conversational RPA extends a great user experience across departments with a single window. With end-to-end automation, users are free to choose their preferred channels. It uses our 400+ ready integrations or builds your own to automate requests in almost any enterprise application.
IT Process Automation
AutomationEdge IT Process Automation automates repetitive and routine IT tasks to reduce downtime and improve incident response. With advanced features such as ticket auto-resolution, Chatbot, Machine Learning, and rapid API integrations, it offers advanced service management.
Robotic Processes Automation (RPA)
AutomationEdge’s RPA platform makes use of technology such as software bots to automate the completion of repetitive human jobs. Rule-based tasks have well-defined inputs and outputs, can be repeated, and are the best candidates.
DocEdge - Intelligent Document Processing
AutomationEdge’s DocEdge captures data across critical documents (e.g., email, text, PDFs, and scanned documents) to categorize and extract them for further processing. Using Machine/Deep Learning, computer vision, Optical Character Recognition (OCR), and Natural Language Processing (NLP) makes this all possible.
AI in the Cloud
AutomationEdge’s CogniBot for IT uses Natural Language Understanding (NLU) and Artificial Intelligence to understand employees’ natural context and effectively disambiguates confusing utterances while interacting with employees.
UI Automation
With UI integration technology, users can access most desktop interface elements programmatically. As well, it allows users to automate repetitive and cumbersome tasks with legacy applications that do not offer APIs.
Business Process Management (BPM)
BPM, in many ways, is the bedrock of any effective automation approach, which must be established, maintained, and enhanced. To avoid breakdowns that can have severe effects on their operations, organizations must build new workflows and test them before implementing them. A strong and straightforward tool for managing an organization’s hyperautomation strategies and initiatives is business process management software.
Machine Learning (ML)/ Artificial Intelligence (AI)
To find patterns in data, companies utilize both supervised and unsupervised AI/ML algorithms. Before making predictions on their own, supervised algorithms produce inputs and outputs. Pattern recognition is used by unsupervised algorithms to gain insights from structured data. AI and ML are some of the strongest automation techniques. As a result, achieving hyperautomation necessitates the strategic deployment of AI and machine learning.
BENEFITS OF HYPERAUTOMATION
REAL-LIFE AUTOMATIONEDGE HYPERAUTOMATION USE CASES AND EXAMPLES
Many external factors are responsible for pushing businesses to embrace hyperautomation. Due to a reduced workforce, imposed capacity constraints, and unanticipated demand variations, industries all around the world have been experiencing productivity challenges. By automating and accelerating repetitive operations, hyperautomation is being used to alleviate many of the associated difficulties. Intelligent automation is also being used by businesses to improve consistency and quality while lowering expenses.
Here are some AutomationEdge’s hyperautomation use cases:
