AI in Your HRMS: Which Features Are Worth Paying For?

AI based HRMS software buyer guide

Almost every HR software demo now has an "AI" badge somewhere. Some of it is useful. Some of it is old rule-based automation, like approval reminders and auto-calculated deductions, with a new name and a higher price. Before you pay for an AI tier, it helps to know which kind you are looking at.

Three things vendors call AI

  • Rules: workflows and reminders. They should be exact, and they are not a reason for a premium.
  • Machine learning: spots patterns in past data, such as payroll anomalies or attendance gaps. Test it on your own data.
  • Generative AI: answers employee questions and searches policies. It must be correct and say "I don't know" when it should.

A short checklist before you sign

  • Fix the basics first: master data, attendance, leave and payroll with PF, ESI, professional tax and TDS.
  • Write one line for each AI feature naming the problem it solves. Drop the ones you cannot link to a problem.
  • Test with anonymised payroll and attendance data and count false alerts and missed errors.
  • Get in writing where employee data is stored, whether it trains the vendor's model, and how deletion works. The DPDP Act, 2023 applies to employee data.
  • Keep a person in charge of every hiring, appraisal, pay and exit decision.
  • Review each feature after six months and drop the add-ons nobody uses.

Read the full guide, with a comparison table and vendor questions, here: AI based HRMS software: don't pay extra for an AI label

Published by Affix Center, a Mumbai-based IT services company. Want an independent view on AI features? See our data analytics and AI services.

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