Applications of Intelligent Automation
In business process automation, the primary application of intelligent automation is to automate and streamline workflows and processes, and enhance efficiency, optimize operations, reduce errors, minimize costs, and free up human resources for more strategic tasks.
In this chapter, we will learn about some of the key applications of intelligent automation and their real-life examples.
Applications of Intelligent Automation
Some of the major applications of intelligent automation across various industries and business processes are explained below −
Customer Support
Intelligent automation is used in business organizations to automate and enhance customer support services. IA helps improving customer experiences by providing efficient interactions, and personalized and 24/7 support services.
Additionally, it significantly reduces the response times and free up human employees to be engaged in more strategic and complex tasks.
For example, business organizations can implement an AI-powered chatbot to handle and respond to customer queries or inquiries in real-time.
Workflow Automation
In any business organization, repetitive tasks like data entry, report generation, invoice processing, inventory management, etc. consume a significant time of an employee. However, intelligent automation can automate these tasks easily so they can be completed without any human intervention.
Hence, IA frees up employees from low-value repetitive tasks and let them to focus on high-value, complex processes. This results in enhanced productivity in the business operations.
Business Process Management
Business organizations also use intelligent automation to automate, optimize, and manage their business processes and operations. IA allows to minimize errors and reduce process time.
Healthcare
Intelligent automation also plays an important role in healthcare industry, as it allows to improve operational efficiency and patient care. IA provides several advanced capabilities like remote appointment and consultation, automate and speed up diagnosis process, reduces workload on administrative staff, provides accurate data collection facilities, etc.
Document Processing
Most organizations find it quite challenging to manage and process large volumes of documents. But intelligent automation can be used to rectify this issue. IA provides an automated document processing capability to handle these documents. It reduces human errors and time required for processing these documents.
Procure-to-Pay (P2P) Automation
Intelligent automation is also used to end-to-end automate and streamline procurement processes, from sourcing to payments. It can automate most operations related to procurement such as invoice verification and processing, payment approvals, automated follow-ups on due payments, and more. It significantly reduces delays in procurement, and enhances experiences and relationships with vendors.
Quote-to-Cash (Q2C) Process
Intelligent automation is employed for automating processes from initial customer inquiries to final payments. This IA application helps organizations to increasing their revenue by automating order processing and improving customer satisfaction.
In this application, IA performs various functions automatically such as providing personalized quotes, tracking order status, and sending reminders to customers for order placement or making payment.
Customer Relationship Management
CRM (Customer Relationship Management) is another area where intelligent automation plays a critical role in automating routine tasks and analyzing customer interaction data. This application of intelligent automation helps organizations to improve their customer engagement, achieve targets, and enhance sales efficiency.
Quality Management
Intelligent automation is used in manufacturing industries to produce consistent products with assured quality. For this purpose, IA collects and analyzes data from production lines in realtime and identify defects. This application of IA also helps organizations to improve their reliability of product in market and minimize waste.
Conclusion
Intelligent Automation is a key technology behind higher efficiency, accuracy, and reliability in a modern business organization. It allows organizations to automate their simple to complex processes by using AI and RPA. Organizations are also using Intelligent Automation as a tool for reducing time and cost required in their business operations.