Reducing the burden on operational systems, one script at a time
Learn how to Calibrate and Introduce RPA as a New Capability in Your Organization
Though many more are popping up each year, hyperautomation use cases typically fall into these 3 categories.
Real-time IT intelligence ensures systems are continuously running at their most efficient and are their most secure. Real-time intelligence is excellent when used by companies for the sake of keeping bad data out, good data clean, and consumer data protected.
A self-healing system has the ability to perceive when there is an issue and regulate that issue. These systems can self-detect errors and apply fixes with limited human intervention. Automating this type of system is a logical way to comply with privacy regulations through continuous security checks ran by a script.
Hyper-Automation means running certain systems without the need for human intervention—such as email collection, and supporting workflow software. Automation can be used across any industry giving companies the opportunity to focus more on goal creation and the redeployment of human capital towards higher value tasks.
Hyperautomation, coined by Gartner in 2019, is the effect of applying the exponential power of machine learning to automation systems. It super-charges the software automation capabilities by placing the bots and flows into the hands of artificial intelligence.
Hyperautomation carries clients past simply reducing noise and increasing signal, into new territory, often hard to reach aspects of an enterprise. Error detection, root cause determination, and system self-healing - all of these are possible with hyperautomation. Calibrating an autonomous, iterative model for hyperautomation can usher in new waves of productivity, sales, and workflows that previously were unimaginable.
Hyperautomation is the complete automation of processes—looking at human interaction to zero. These processes can be everything from the automation of social media content to supporting data collection.
Document Process Flow is the process of creating an end-to-end workflow. Trello and Basecamp are excellent examples of software tools designed for creating an organized work flow and offers the opportunity to collaborate with efficiency.
Optical character recognition is specific software that can convert an DocuSign is an example of data conversion using PDF conversion.
Anti-Money Laundering software is a tool used in the financial world to analyze transactions. Having AML software at key transaction points aids in spotting suspicious activity and processes customer data safely and efficiently. Refinitive World-Check Risk Intelligence is an automation tool used to verify customer data.
Every business has the objective of growth in mind. The guaranteed way to ensure client and consumer growth are through the process of lead generation such as capturing email addresses or consumer information. Option Monster is a commonly used lead generation tool.
RPA or robotic process automation is designed to automate tasks usually completed by company employees. Natural language processing analyzes unstructured data and turns into useful content. Examples of NLP would be email bots and chatbot.
Privacy must be preserved whether a coded automated system is running or AI is managing data. Privacy preservation through automation creates a system that regulates the security of big data collection. Implementing these tools ensure regulatory requirements are being met.
Automation can completely transform an information technology application footprint, shifting-left to reduce developer loads, rework complex business processes into simpler ones, and eliminate many projects altogether.
Artificial Intelligence for IT Operations (AIOps) helps make sense of the potentially overwhelming volume of data modern IT administrators handle. AIOps aggregates and analyzes growing streams of data, proactively fixes what it can, correlates related events across an enterprise, and surfaces actionable summaries and critical events. IT staff can then intervene accordingly.
Robotic Process Automation (RPA) allows knowledge workers to automate and inject intelligence into existing manual or cumbersome processes. RPA mimics selected IT tasks and automates away portions of a business’ operational burden. Once the ‘bots’ are built, tested, and deployed, organizations can look to reposition and redeploy the saved capital.
Hyperautomation offers real-time intelligence about an organization’s IT systems. Hyperautomation allows companies to cut down on manual redundant back-office tasks, error check, and streamline system processes. Knowledge workers can then be aligned to focus on the priorities of the enterprise.
As a centerpiece of popular Artificial Intelligence, chatbots simulate human engagement by interpreting a customer’s questions and completing a sequence of tasks. NLP has added a complexity to chatbots that allow them to seamlessly act as customer service agents, virtual assistants, and payment processors.
Scripted systems are created utilizing specific scripting languages. These scripted systems are then used within an application, typically a shell for process automation such as phone application updates, server updates, website updates, and data management. Predetermined scripts and shells built to develop, test, and debug software and computer programs ensure limited human error and security.
Automation solutions are becoming a staple of1 IT investment. Use cases range widely–from increasing customer satisfaction to liberating employees of dull, mindless tasks. Companies that fit automation into their processes cut costs and free up their human capital
Senior consultants with previous experience with these types of projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.