The purpose of using Intelligent Automation (IA) is to achieve better business outcomes through streamlining and scaling decision-making across businesses. IA simplifies processes, frees up resources and improves operational efficiencies. It combines methods and technologies to run business processes on behalf of knowledge workers, and it has a variety of applications.
IA adds value to business in many ways:
- It increases process speed, reduces costs, improves compliance and quality, increases process resilience and optimises decision results.
- Ultimately, it improves customer and employee satisfaction, improves cash flow and EBITDA, and decreases working capital.
IA consists of three components:
- Business Process Management – with Process Mining to provide greater agility and consistency to business processes.
- Robotic Process Automation (RPA) – which uses software robots, or bots, to complete repetitive manual tasks. RPA is the gateway to Artificial Intelligence (AI) and can leverage insights from AI to handle an increasing number of more complex tasks.
- Artificial Intelligence (AI) – by using machine learning and complex algorithms to analyse structured and unstructured data, businesses can develop a knowledge base and formulate predictions based on that data. This is the decision engine of IA.
Intelligent Automation makes the Digital Operating Model work.