Propel automation beyond individual processes
Hyperautomation is one of the most consequential strategic technology trends in enterprise transformation today. Organizations worldwide are adopting this discipline to swiftly identify processes ripe for automation and deploy technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), process and task mining, and robotic process automation (RPA) to attain the next echelon of enterprise digital transformation.
It is about extending an organization's capacity for automation far beyond isolated processes, interconnecting people, workflows, and data at scale.
Accelerate returns from your digital transformation investments
01
Uniting people, processes, and data
Hyperautomation equips organizations to interconnect their people, processes, and data, both structured and unstructured, in a manner that yields valuable business intelligence. It simplifies process discovery and data interrogation, opening new avenues toward greater efficiency and superior customer experience.
02
Augmenting workforce productivity
Hyperautomation can substantially diminish or eradicate the mundane, repetitive tasks that consume employees' time. RPA and AI can wholly automate the reading, comprehension, and extraction of data from documents, delivering it into the appropriate process without human involvement.
03
Curtailing operational expenditure
Hyperautomation delivers meaningful reductions in operational cost over time. Revenue gains are also attainable through the same discipline, and organizations already scaling hyperautomation technology report
substantially greater cost reductions since implementation. [Note: specific figures from third-party studies such as Deloitte belong to those studies and should not be attributed to Regoxa without independent verification.]
04
Harnessing real-time process data
Hyperautomation enables organizations to comprehend, in real time, how their processes are performing. With process mining through Regoxa Timeline, AI lets businesses construct an interactive digital twin of their processes automatically, interrogate them in real time to isolate bottlenecks, and forecast future outcomes.
Hyperautomation with no-code and low-code technologies
Your business data opens doors, to new opportunities, better decisions, and steady growth. Yet a lot of it sits unused because it is locked inside documents that arrive in every format from every direction. Poor extraction and slow, error-prone manual handling make that data hard to gather and use, which drags operations down and delays the calls you need to make.
Regoxa Document AI clears that out. It pulls the data that drives your processes from any document, whatever the format or structure. Invoices, contracts, other business-critical files, all of it becomes structured and ready to use. With intelligent document processing, your information starts fueling growth instead of gathering dust.
What you get
01
Identify automation opportunities
Hyperautomation begins with identifying as many business processes as possible that stand to benefit from automation technologies such as RPA, AI, and more.
02
Automate with greater precision using process mining
Commencing your hyperautomation journey with process mining confers the advantage of deploying technology precisely where it is most needed. Process mining and task mining reveal your most significant bottlenecks before you invest.
03
Deploy intelligent automation
Robotic process automation handles simple, repetitive tasks such as data entry with efficiency and accuracy, liberating employees to concentrate on high-value work.
04
Infuse intelligence into your robots
When robots are equipped with AI-powered document models, they can interpret and process unstructured document content intelligently. This capability is called intelligent document processing (IDP). Regoxa Cloud provides a no-code IDP platform for upskilling RPA robots to handle any document type.
Hyperautomation in practice: industry use cases
04
Transportation and logistics
Regoxa's no-code intelligent document processing platform helps transportation and logistics organizations remove friction from document-intensive processes, with ready-to-use models for bills of lading, commercial invoices, customs declarations, delivery notes, and more
What is hyperautomation?
Hyperautomation is a business-driven, disciplined approach through which organizations rapidly identify, evaluate, and automate as many business and IT processes as possible. It involves the orchestrated deployment of multiple technologies, including artificial intelligence, machine learning, robotic process automation, business process management, and low-code/no-code tools, to attain comprehensive, enterprise-wide automation.
How does hyperautomation work?
Hyperautomation typically commences with robotic process automation, deploying software robots to replicate repetitive human computer tasks. AI technologies such as analytics, machine learning, and process mining are then introduced to identify, automate, and surveil additional processes, extending automation to knowledge work such as reading and comprehending document content.
What does hyperautomation software accomplish?
Hyperautomation software, including intelligent document processing solutions, enables robots to process documents and render decisions about their content as a human would. Process mining tools contribute by discovering and analyzing processes to identify the most valuable automation opportunities, while process analytics measure the return on automation investments and connect them to business outcomes
Who stands to benefit from hyperautomation?
Any organization seeking to curtail costs, refine process efficiency, or diminish errors stands to gain from hyperautomation. At the employee level, tools such as RPA alleviate the burden of repetitive manual tasks, freeing staff to concentrate on high-value, more intellectually rewarding work.
What are examples of where hyperautomation is applied?
Hyperautomation is deployed by organizations of all scales across industries including financial services, transportation and logistics, supply chain, insurance, healthcare, retail, business process outsourcing, and customer service.
What role does AI play in hyperautomation?
AI within hyperautomation renders automation tools progressively more capable by enabling the comprehension of cognitive tasks, those requiring the interpretation of novel information or data, often embedded in documents. Examples include optical character recognition (OCR), natural language processing (NLP), and computer vision, which collectively allow robots to convert text into machine-readable language, comprehend written and oral human communication, and recognize the context of actions performed by users on screen
How does intelligent document processing (IDP) contribute to hyperautomation?
IDP gives automation robots the capacity to read, classify, extract, and validate data from unstructured documents, extending hyperautomation to document-intensive processes that rule-based bots alone cannot address. With IDP, robots make intelligent decisions about document content rather than merely executing prescribed keystrokes.
How does process mining accelerate hyperautomation?
Process mining analyzes event log data from your systems to construct a digital twin of your operations, revealing where bottlenecks, inefficiencies, and automation opportunities reside. Starting a hyperautomation initiative with process mining ensures technology is deployed where it will generate the greatest impact rather than where it is easiest to implement.
How does hyperautomation differ from traditional robotic process automation?
Traditional RPA automates isolated, rule-based tasks in a linear fashion. Hyperautomation orchestrates a broader set of technologies, including AI, IDP, process mining, and ML, to automate entire end-to-end workflows, including those involving unstructured data and complex decision-making that RPA alone cannot handle.
Can hyperautomation operate across legacy systems?
Yes. A central advantage of hyperautomation is its capacity to integrate with legacy systems without requiring their replacement. RPA acts as a non-invasive layer that interacts with existing applications, while process mining extracts data from legacy event logs to inform automation decisions
How does hyperautomation sustain continuous improvement?
Hyperautomation incorporates real-time process monitoring and machine learning so that automation systems surveil their own performance, identify deviations, and improve over time through human-in-the-loop corrections and ongoing process analysis, rather than remaining static after initial deployment
How can my organization get started with hyperautomation?
Speak to Regoxa about process mining, intelligent document processing, machine learning, and RPA technologies. Schedule a demo to see how Regoxa Timeline and Regoxa Cloud can initiate and accelerate your hyperautomation journey.