The Automation Services RadarView report addresses both the enterprises’ dual requirement to understand both RPA and the artificial intelligence-based automation space, and how to identify suitable deployment solutions vendors who span both categories. To understand the significance of enterprise architecture for real-time operational process management solutions for an enterprise, we must first understand what is meant by an enterprise architecture. It is the standard definition of enterprise architecture that encompass various important aspects such as system and data modeling, resource planning, and software deployment to name a few. This helps in designing and fine tuning the systems according to the requirements of the business environment. At times it also refers to the application programming interfaces that are needed with various software applications. Such interfaces facilitate communication between different application programs without requiring substantial upfront capital investment.
Real-time execution capabilities allow for full integration of the automation platform with the enterprise network, which in turn enables easy connectivity and response times for the processes and solutions implemented on the platform. The automation platform thus provides a cost-effective way of managing the enterprise. Such capability allows for the data and information to be automatically ingested into the CRM so that it can be accessed at the right time and used for decision making purposes. This is one of the major advantages of using intelligent automation for the business environment as opposed to manually running and managing the processes.
The popularity of the RPA or artificial intelligence powered automation solutions is increasing due to its wide applicability across different industries. The most popular use of an RPA system is the manufacturing industry as it is designed to maximize the productivity of every employee through the reduction in labor costs. The system improves the speed of production as well as improving customer relations thus improving the brand reputation of the organization. Moreover, it allows for greater employee accountability as the workloads are shared across the different members of the team. A more intelligent CRM can also help businesses boost their online visibility, which ultimately leads to increased sales and profits.
Another application of intelligent automation systems is to handle customer relationship processes. This is particularly useful in situations when the company handles multiple types of customer such as past-due customers, delinquent customers and repeat customers. Automation technology is now capable of handling all these cases and giving the customer a better experience by reducing the number of steps involved in the transactions. Such applications have the potential to reduce the customer churn rate, which eventually results in increased profitability for the organization.
It is important to note that although businesses can opt for ready to use RPA systems that can be deployed easily, they would still require extensive training for the employees who would have to use the technology. In other words, a complete CRM solution is not possible for all business units. For this reason, businesses must opt for Custom Software Solutions (CSPs) that allow customization of the functionality of an RPA system to suit the business needs. There are many companies that offer customized CRM systems for different business units such as Sales, Customer Service, Marketing, Human Resources, Financial Services etc. In addition, most CSPs also offer custom solutions for industries like the hospitality industry, banking and finance sector etc.
A major advantage of using intelligent automation and robotic process automation systems is that they automate processes that previously were performed manually. For example, cashier entering data in a cash register is one such process that can be automated. Thus, businesses can use automation technologies to eliminate redundant tasks and increase productivity. Apart, from boosting the bottom line, such processes also help reduce labour costs by increasing efficiency in such processes.