Intelligent automation (IA) is the use of technologies like artificial intelligence, Machine Learning, Voice AI, and robotic process automation (RPA) – to streamline and scale decision-making across organizations.
Intelligent automation can simplify your business processes, optimize your resources and improve operational efficiencies.
Intelligent automation platforms provide many benefits across industries as a result of using large amounts of data, precise calculations, analysis, and resulting business implementation. Key benefits include:
Augmenting the workforce and improving productivity: Automating systems and processes and using data and analysis to ensure accuracy can accelerate production. IA also provides the ability to scale quickly without increasing risk, compromising quality, or putting a strain on the existing workforce. Business leaders are reaping the benefits of this capability through higher production yields and improved ROI.
Through consistent processes and approaches, which enhances quality: The strength behind intelligent automation is the use of artificial intelligence to drive decision-making and bring a consistent approach to repetitive tasks.
Providing a top-quality, more reliable product to market faster, or getting answers to queries faster (or immediately) provides a richer, more positive experience for the customer, and thereby a competitive advantage for the company.
Intelligent automation comprises cognitive technologies. Integration of these components creates a solution to empower business and technology transformation.
The most critical component of intelligent automation is artificial intelligence or AI. By using machine learning and complex algorithms to analyze structured and unstructured data, businesses can develop a knowledge base and formulate predictions based on that data.
The second component of intelligent automation is business process management (BPM), also known as business workflow automation. Business process management automates workflows to provide greater agility and consistency to business processes. Business process management is used across most industries to streamline processes and improve interactions and engagement.
The third component of IA is robotic process automation (RPA). Robotic process automation uses software robots, or bots, to complete back-office tasks, such as extracting data or filling out forms. These bots complement artificial intelligence well as RPA can leverage AI insights to handle more complex tasks and use cases.