FEATURE : AUTOMATION judgment , and connect more deeply with one another . This will create more productive businesses , empowered employees , and more trustworthy AI ,” adds Nicault .
“ Enterprises benefit from faster transformation of manual or paper-based processes and can access untapped automation opportunities and process enhancements ,” says UiPath ’ s Gibbs .
For better adoption of Hyperintelligent Automation tools , enterprises must address any lack of digital maturity and siloed data across departments .
“ The business skills required are process analysis to identify the key areas where automation is required ; change management skills to navigate the transition and ensure user adoption throughout the organisation ; and finally , understanding and implementing data governance policies ,” summarizes ManageEngine ’ s Ramamoorthy .
“ From a business point of view , understanding the areas that are most likely to be automated and assessing the optimisation opportunities of workflows is key to the automation process . This has to have a good fit with the overall business goals ,” says Omnix ’ s Khachfeh .
In doing so , one has to ensure that the process is aligned to follow regulatory , and compliance needs which are crucial to industry specific business needs . Technology is advancing at a fast pace , and entering this domain needs to be supported with a continuous application of innovations to identify opportunities for future success .
Transforming experiences and operations
This revolutionises customer experience and enhances business decision making at every level of the organisation , leading to greater innovation . Automation and AI helps enterprises in critical areas like supply chain management , regulatory compliance , and customer-facing processes .
“ In the enterprise sector , Natural Language Processing can be used in chatbots to answer queries and retain engagement . It is also used to analyse and summarise documents , analyse sentiments , and derive insights from meeting transcripts ,” says ManageEngine ’ s Ramamoorthy .
Intelligent Document Processing tools are specifically designed to automate documents such as invoices and contracts . Here the application of NLP and computer vision helps to make an impact on manual efforts by automating the process and streamline document workflows .
“ Going a step further , Cognitive Automation platforms take Robotic Processing Automation a notch higher by integrating AI driven cognitive capabilities such as Natural Language Processing , Optical Character Recognition , and sentiment analysis . This is especially true in situations where more human understanding and decision making is required ,” adds Omnix ’ s Khachfeh .
“ In the beginning we would have fully manual processes where data was analysed by people , then people would make a gut business decision and implement manually . With automation , that insight became a bit easier and the process was still fairly straight forward . If this , then that , and then we would let the person deal with it ,” explains ServiceNow ’ s Constantinidis .
Hyperintelligence means you can now use the implications of results , plan for potential outcomes and avert crises , providing that you can imagine the scenarios at first , trust AI ’ s data accuracy and trust AI biased programming to make the right decision .
“ The longer the system learns , the more accurate the result will be . But in this day and age , trying and failing fast is critical , so with Intelligent Hyperautomation you can easily learn the consequences of certain process decisions and their outcomes ,” adds Constantinidis .
The ability to automate backend processes frees people from mundane , time-consuming aspects of their jobs so that their time can be spent on higher value work .
AI-powered chatbots and conversational AI assistants are extremely handy in the areas of customer interactions . What is more important is the personalised responses provided and the provision of handling complex queries without human involvement .
Hyperintelligent Automation solutions can also forecast future trends , analysing large volumes of enterprise data to give proactive measures for the enterprise . p
HYPERAUTOMATION IS A
BUSINESS-DRIVEN , VERY STRICT AND WELL THOUGHT THROUGH APPROACH THAT
ENTERPRISES CAN USE TO MAKE BUSINESS DECISIONS .
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