Jul 29, 2026 · 9 min · 7 segments
#HRhelpdesk #IndiaHRGuide #MandeepSingh, with 25 years of HR expertise, challenges one of the most common assumptions organisations make when adopting Artificial Intelligence in Human Resources. Most…
Mandeep SinghHost
But first, whenever you're thinking, you need to be very clear about why are you planning to get into AI in terms of what the use cases that you want to address.
Some key use cases that a lot of people talk about and I'm sure you're also thinking about are related to recruitment.
Are you going to be screening resumes? Are you going to be shortlisting? Are you going to get the AI to take decisions in terms of yes or no, even if the final decision is taken by a human? you going to be using it for compensation benefits whether you know it's related to payroll processing are you going to be using it for record analysis in terms of figuring out the employee documentation whether that is correct incorrect and entering some of that data in hrms systems or whichever way you're maintaining personal files and also Something which is now being sold as a pretty exciting product is managing talent.
Are you going to use AI to help you assess, analyze performance appraisers, training gaps, training need analysis? Are you going to be able to figure out who is eligible, not eligible for promotion, who's ready and not ready for promotion? Are you going to be using it in the talent side? And most importantly, are you going to be using it for sentiment analysis or running various kind of analytics? predicting attrition rates, predicting who's going to leave, finding out who's in a good mood, in a bad mood, finding out whether two people are going to be able to work together or not work together.
All the analytics that we can talk about, all the solutions we really wanted to think that I hope these kind of things I can get answer to.
Are you going to be using AI for those answers? A lot of us would be very excitingly and happily wanting to say, yes, we really want AI to solve a lot of those people problem because that is necessary.
But before you get into that, I want you to be aware of certain things that you should be clear in your mind before you get into AI and why and what you should do.
But first, whenever you're thinking, you need to be very clear about why are you planning to get into AI in terms of what the use cases that you want to address.
Some key use cases that a lot of people talk about and I'm sure you're also thinking about are related to recruitment.
Are you going to be screening resumes? Are you going to be shortlisting? Are you going to get the AI to take decisions in terms of yes or no, even if the final decision is taken by a human? you going to be using it for compensation benefits whether you know it's related to payroll processing are you going to be using it for record analysis in terms of figuring out the employee documentation whether that is correct incorrect and entering some of that data in hrms systems or whichever way you're maintaining personal files and also Something which is now being sold as a pretty exciting product is managing talent.
Are you going to use AI to help you assess, analyze performance appraisers, training gaps, training need analysis? Are you going to be able to figure out who is eligible, not eligible for promotion, who's ready and not ready for promotion? Are you going to be using it in the talent side? And most importantly, are you going to be using it for sentiment analysis or running various kind of analytics? predicting attrition rates, predicting who's going to leave, finding out who's in a good mood, in a bad mood, finding out whether two people are going to be able to work together or not work together.
All the analytics that we can talk about, all the solutions we really wanted to think that I hope these kind of things I can get answer to.
Are you going to be using AI for those answers? A lot of us would be very excitingly and happily wanting to say, yes, we really want AI to solve a lot of those people problem because that is necessary.
But before you get into that, I want you to be aware of certain things that you should be clear in your mind before you get into AI and why and what you should do.
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