HR software built for Indian businesses

  The most dangerous phrase in HR technology right now isn't "AI will replace us." It's "We'll figure out governance later." Here's the uncomfortable truth: 60% of large organizations are already using AI in HR, but fewer than half have any formal AI policy in place . The tools are moving faster than the rules. And in India, where the DPDP Act imposes strict data protection requirements, that gap isn't just risky it's a compliance time bomb. Let's talk about what AI can actually do for HR, where it fails, and how to adopt it without creating a mess you'll spend years cleaning up. What AI Is Actually Doing in HR Right Now Forget the sci-fi version. Here's what's happening on the ground. Recruiting leads the way. 27% of organizations apply AI in talent acquisition more than any other HR function . The most common use cases are practical: writing job postings, screening resumes, and scheduling interviews. These aren't decisio...

Nobody talks about leave encashment until it's the last day of an employee's notice period. Then suddenly everyone's scrambling HR is digging through spreadsheets, the employee is asking awkward questions, and finance is sitting there waiting on a number that should've taken five minutes to produce. It doesn't have to be this messy. But let's get the formula right first because a surprising number of HR teams across India are genuinely getting this wrong, and the consequences show up at the worst possible moment. The Formula (And the Part Everyone Gets Confused About) Leave encashment calculation in India runs on one standard formula: Leave Encashment = (Basic Salary + DA) ÷ 30 × Number of Unused Earned Leave Days Straightforward enough, right? Except this is exactly where HR teams split into two camps the 30 camp and the 26 camp. Some companies divide by 26, treating it as working days in a month. Others divide by 30, treating it as calendar days. Both are leg...