We often hear the question “what is hyper automation”? Hyperautomation is the combination of various automation and AI technologies. Technologies and solutions that are combined to create hyper automation include RPA or Robotic Process automation, AI or Artificial Intelligence, and ML Machine learning. Other AI tools also come into play. Hyper automation is all about optimizing business processes. Hyper automation will typically incorporate advanced AI technologies like NLP or Natural language processing, IDP or intelligent document processing, computer vision and also predictive analytics. Hyper automation allows organizations to achieve even higher levels of efficiency and productivity.
In this article we will cover some various hyper automation examples, hyperautomation services, hyperautomation companies and various hyper automation software tools. We will also explore managed services for hyperautomation.
Hyperautomation Software and Key Terms
Before moving on, lets level set and take a look at some of the key terms, technologies and software used when deploying hyper automation.
RPA (Robotic Process Automation) – is technology that uses software robots or “bots” to automate repetitive, rule-based tasks and processes by mimicking human interactions with user interfaces.
AI (Artificial Intelligence) – is the simulation of human intelligence in machines. AI enables software and computers to perform tasks that typically require human intelligence, such as understanding natural language, making decisions, and recognizing patterns.
ML (Machine Learning) – is a subset of AI that focuses on enabling machines to learn and improve from data without being explicitly programmed. ML uses algorithms to analyze data, identify patterns, and make predictions or decisions.
Conversational AI – is a technology that enables machines to interact with humans using natural language. Conversational AI enables chatbots, virtual assistants, and voice recognition systems to facilitate human-like conversations.
IDP (Intelligent Document Processing) – is the application of AI technologies, such as OCR, NLP, and ML, to automate the processing of documents and extract relevant information from them, enabling streamlined and automated document-centric business processes.
OCR (Optical Character Recognition) – is a technology that converts scanned or printed text into machine-readable text by analyzing shapes, patterns, and features of characters in images or documents.
NLP (Natural Language Processing) – is a branch of AI that focuses on the interaction between computers and human language. It involves techniques to enable computers to understand, interpret, and generate human language in a meaningful way.
Hyperautomation Examples and Use Cases
There are many tasks and processes within a business that can benefit from hyper automation. Financial processes can be well suited for hyper automation. Reconciliations, financial reporting, fraud detection can all benefit from hyper automation, as can fraud detection and improving compliance. Supply chain management can also benefit from hyper automation. Hyperautomation can be used to automate supply chain processes, including inventory management, order processing, shipment tracking and demand forecasting. Hyper automation can enable real time visibility, faster fulfillment, and improved inventory management. Nearly all companies have data entry requirements that can benefit from hyper automation. HR processes, customer support, claims processing all are examples of data entry heavy work that can benefit from hyper automation. Commercial processes can also benefit as well. Customer interactions can benefit from hyper automation and be improved. Purchase order processing and invoice processing are also examples where hyper automation can be deployed.
Implementing Hyperautomation
In order to implement hyper automation, companies must first identify and analyze processes that are most suitable for automation. Tasks or processes suitable for hyper automation typically occur in high volume. They are also in most all cases rules based tasks. Implementing hyperautomation solutions requires careful planning and collaboration between both business and operations teams, plus IT teams. Frequently there is a lack of knowledge of hyper automation technologies within companies. In these cases, it is often useful to bring in an outside company to offer consulting, implementation, or even managed services. RPA is typically at the core of many hyper automation solutions. However, what often makes a huge difference and creates hyperautomation is adding conversational AI, machine learning, optical character recognition and/or intelligent document processing to an overall workflow. Hyper automation is typically an ongoing journey that involves continuous optimization and monitoring of deployed platforms. Requirements and needs will change over time. Technology may change and can be optimized as well. Outside resources can help make sure that the latest technologies and best practices are being leveraged.
Hyperautomation Services and Hyperautomation Companies
There are many hyper automation services available to companies today. Many individual software providers will provide services to companies specific to their areas of expertise. Consulting firms can offer advice. Integration firms can provide software implementation. Managed Service Providers for hyper automation can be especially useful. They can provide consulting and implementation upfront and then run hyper automation as a lower cost and flexible service. Outside consultants as well as managed service providers can bring specialized skills and knowledge to businesses that do not have expertise in hyper automation. Managed service providers especially can provide cost savings for businesses seeking to implement hyperautomation platforms. Managed service providers typically will charge a monthly fee and can scale up or ramp down very quickly based on changing business requirements. Leveraging outside consulting firms or software implementation companies as well as MSPs can allow companies to focus on their core business. Hyper automation technologies are new and changing constantly. It can be hard for a business focused in another area to have expertise in these technologies. Why not bring in experts, right?
Valenta and Hyperautomation
Valenta is a leader in providing comprehensive Hyperautomation services and solutions. We specialize in helping businesses optimize their operations, enhance efficiency, and reduce costs. We help our customers in this area identify the right tools and technologies for their specific needs. Combining Robotic Process Automation, Artificial Intelligence, Machine Learning, Intelligent Document Processing and Natural Language Processing, we create end-to-end automation solutions that drive digital transformation for our client’s businesses. Our team is comprised of skilled professionals, including developers, solution architects, business analysts, infrastructure engineers, and process experts. Our local Managing Partners located in cities across the world are also part of the team and drive all engagements. We take a proactive approach to managing Hyperautomation solutions. We stay updated with the latest technologies and ensure optimal performance. Valenta Hyperautomation solutions span various departments and functions, including finance, IT, sales, marketing, human resources, customer service, and supply chain management. Leveraging Hyperautomation, businesses can empower their employees to focus on high-value tasks that require human expertise, ultimately driving growth and profitability.
Our mission is to enable businesses to achieve heightened efficiency, productivity, and agility through a combination of automation technologies. Valenta equips businesses with the competitive edge needed in today’s dynamic business environment. To read more about Hyperautomation please visit the highlighted web page. Please feel free to contact a local Managing Partner using this link.