This article outlines the change process and how it's affecting companies that use AI in this context.
The HR function was one of the least appreciated and considered a mere paperwork and routine job involving resume screening and interview coordination. With AI software handling the dull repetitive work, HR professionals can now focus on more strategic tasks.
Instead of scanning hundreds of resumes for days, nowadays they use AI tools to find the best applicants for the job in one move. This way, their role is shifted from "data sorting" to "human connection," and their main focus becomes employee culture, wellness, and talent programs. What is even more, HR departments today are responsible for training and developing the existing workforce in order to equip them with skills for working with AI-powered tools.
The corporate legal department is generally considered the slowest because they spend lots of time going over contracts. Corporate legal and compliance professionals without coding skills are using smart software to automate tedious manual work.
AI is not taking over the corporate lawyer; the lawyer's job is getting rebranded in the same way. Just now the main focus has shifted towards rapid risk identification and strategic decision-making, instead of the old-fashioned way of manually writing drafts. As a result, legal departments today approve business decisions much faster.
Customer service no longer relies on chatbots that can only provide robotic answers. The AI tools used by customer support teams can analyse customers' history, sentiment, intent, and other information in real time.
This capability means the customer care representative can tackle complicated problems during the first call because the system instantaneously presents exactly the information they require. The whole model of operation moves away from just waiting for the customer to contact and complain to identifying and contacting the customer proactively to resolve the problem before it causes any disruption.
Gone are the days when finance teams used pencils, paper, or calculators for manual data entry and expense reporting. Now, advanced smart systems can automatically enter data and invoices, compare the data with different files, and also identify questionable entries.
Saving time on manually preparing spreadsheets means that their focus can be better shifted to data analysis. The finance teams become instrumental partners to the other departments by using their predictive insights to guide the management on market changes, possible budget deviations, and upcoming growth opportunities. Therefore, they not only act as accounting officers but, more importantly, as strategic collaborators.
Since these tools are becoming common across all business areas, the employees who are in different business units do need to work together. A marketing expert will require being comfortable reading data reports, and a customer service department manager ought to know the basics of using a database. The distinction between technology staff and the core business team is becoming less significant or even nonexistent at times. Organizations are regrouping into combined workgroups within which managers from the core business team and their software counterparts work together in the same room to enhance productivity.
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No, it is a misconception that people will be replaced by such tools. They are not doing any such things; these new tools just change tasks that people work on. The machines are doing the routine and the most repetitive tasks in administrative work that free up the human workforce to think more creatively, be more empathetic, solve problems strategically, and grow on that level too.
People are not being replaced by these technologies. These technologies change the nature of the work performed by people. Machines are being used to take care of the very mundane and repetitive activities of the administration department that free the employees to be creative, develop more empathy-based problem-solving, etc., and also look at how their company can strategically grow.
Modern enterprises tend to abandon their traditional, rigid, and departmentally confined structures. These businesses are adopting flexible, collaborative working teams with different professional backgrounds that are all committed to achieving a single goal.
Managing the changes in people's behavior and their general attitudes. Understanding how to rely on the data generated by the AI tools and modifying the old ways of performing tasks are usually far more complex than getting familiar with a piece of software.
The key is picking the task for change that seems to be the most burdensome but not a highly technical one. For example, the department of invoice processing, or resume screening, whatever the case may be, is identified as the one most suited for automation.
A new kind of team where both human and machine can do the task is needed if you want people to become more creative in their work.
First, there has to be a pilot area that is non-technical in nature where the impact of change will not be very drastic on employees or departments. An example would be a department handling invoices or screening resumes.
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