Effective and reliable business processes are a major factor for the success of modern organizations. Numerous processes run simultaneously within the departments of a modern organization, and all the departments coexist in a prolific manner. Without proper procedures and coordination, an organization of today will cease to exist.
The business processes are usually encoded into the computer systems and software that the modern organizations own or use. However, not all organizations have adopted this fast-paced and efficient style of working. They still work with the logic of using conventional and manual methods. The sooner these old fashioned organizations get on board with artificial intelligence (AI), the better it is for them. AI will simplify their existing workflows by replacing manual work with automation. AI will enable a wider class of business processes to be encoded into the computer systems and software of these organizations. These organizations will be able to manage their business processes more effectively and will become more efficient.
Organizations need to implement AI to improve their level of compliance with ever-changing regulatory requirements. Without AI, organizations have to pinpoint all of the data stores that deal with the information covered by the regulatory requirements. These data stores hold financial data for the banking sector, patient data for the healthcare sector, and customer data for the government and service sectors.
One of the benefits of AI is that software agents are able to keep a constant and watchful eye on the computer systems and the data. The organizational workflows do not have to be hardcoded or integrated with application programming interfaces that may not offer full access to the data. Instead, AI-enabled software agents can observe the workflows in real time. They can independently act on the workflows that match previously identified patterns.
Organizations need to implement AI to keep the data complete and clean. AI systems can handle data integration tasks, review mismatched data and augment missing information. Without any form of automation, organizations have to utilize their human resources to manually key in the data or extract information from multiple sources in order to accomplish a task.
The robotic process automation tools, or software bots, can help to automate the tasks of entering data into and extracting data from multiple systems. AI and machine learning can impart intelligence to the software bots. Computer vision and natural language processing can convert documents and images into machine-readable text and data that the software bots can operate on. Instead of encrypting data with difficult hard to remember codes, the AI systems can keep an eye out for any suspicious activity.
Organizations need to implement AI-enabled business processes in order to better serve their partners, customers, employees and suppliers. Current business processes are often rigid and do not allow the organization to respond satisfactorily to the needs of the stakeholders. Customers complain about support being difficult to reach and poor service. Employees complain about procurement systems. Partners complain about vendor systems that are inflexible to handle changing business requirements. These types of complaints prove detrimental to the profitability of organizations.
AI systems help to address the service related issues, make market research easier to conduct, enable the organizations to improve their services and become highly profitable.
These are some of the reasons why Information Technology geniuses like Krishna C. Mukherjee dedicate themselves to develop the best technologies for improving organizational workflows. Having worked for Microsoft as a chief software architect and engineer, Mukherjee has designed and developed Microsoft’s flagship products including the Windows operating system and the Office suite of applications. He has invented ground-breaking technologies such as the Intelligent Filing Manager. Mukherjee is a pioneer in the field of AI and workflow automation.