INTELLIGENT AUTOMATION PLATFORM

Intelligent Automation is the incorporation of intelligent technology such as Machine Learning (ML), Deep Learning (DL), Intelligent Character Recognition (ICR), Natural Language Processing (NLP), Process Mining (PM), and Data Mining (DM) into an interconnected and interoperable process that enables automated learning and adaptation in all business activities.

Intelligent automation platform combines robotic process automation, machine learning and Artificial intelligent to automate business process which improve in efficiency over time. It is different from robotic process automation because RPA is completely rule based and mechanical whereas intelligent automation learns from corrections and improves with time and usage. 

Augeo, a financial services company used Nanonets to automate their invoice processes. At the time, augeō didn’t have an OCR solution to assist their client. Augeo team manually processed 3000 invoices per month and uploaded data to Salesforce. They used Nanonets AI powered intelligent automation platform to automate their client’s account payable processes. Nanonets IA software’s accuracy increased as they trained more models with it. And now, they have a smooth functioning invoice processing platform which processes over 36000 invoices per year and has reduced the time to process invoices from 4 hours to 30 minutes per day. 

Robotic process automation is completely rule-based and does not evolve with time. Robotic process automation is implemented when the processes are standardized and data input is semi-structured or structured. Intelligent automation platform on other hand is smarter than Robotic process automation. IA software learns and evolves as it deals with more data. Intelligent automation is perfectly suited for multimedia data and can convert unstructured data into structured data easily. 

Intelligent Process Automation enables businesses to streamline the conversion of unstructured data to structured data. IPA uses training datasets to train its algorithm to convert multimedia documents, PDFs, images and text into json or other machine readable format for advanced analytics in enterprises. IPA allows for complete utilization of company’s data for analytics and can be a source of insights that were otherwise not accessible. 

Cloud Intelligent Automation (IA software) delivers multiple benefits to businesses which makes it a must have apart from cost savings. Intelligent Automation software lead to higer efficiency and enhanced security. It removes operational roadblocks and therefore accelerates the business processes. Ia software replaces employee efforts in manual data entry tasks while reducing the errors too. Apart from these benefits, having a cloud intelligent automation tool improves accessibility to data in remote setting. It is also more secure and efficient as compared to on premise IA software. 

OCR API, document data capture and document workflow automation are parts of Intelligent automation software. In a paper driven environment, IA platform can be used to scan documents, extract data from the documents, perform tasks like document classification, document pre-processing, post-processing and more. 

RPA is a subset of Intelligent Automation. It is used to automate routine, repetitive, and predictable tasks through orchestrated activities that emulate human action. Intelligent Automation platform uses of Artificial Intelligence tools to process higher-function tasks that require some level of reasoning, analysis, judgment, and decision. It is driven by AI and is in turn a subset of Hyperautomation. Hyperautomation is the interconnection of different intelligent automation tools serving multiple processes in order to create a common platform that unifies systems, data, and processes of an enterprise.