How Superworks is Helping CHROs Navigate India’s HR Digitization Shift
Most fragmented HR tech stacks weren’t built badly on purpose. They were built one reasonable purchase at a time, until a CHRO ends up spending half the month reconciling numbers that should already agree. Here’s what that actually costs, why it’s getting harder to ignore, and what CHROs are starting to ask before their next system review.
No HR leader sets out to build a messy tech stack. It happens one purchase at a time. A payroll tool first. Then an ATS, once hiring picks up. Then an attendance app, because spreadsheets stopped working. Each decision makes sense in isolation.
Together, they quietly create a different problem: five systems that aren’t in sync with each other, and a CHRO’s team spending a meaningful chunk of every month reconciling data that should already match.
What does this actually cost a CHRO, month after month?
The cost of a disconnected HR stack rarely shows up as one big incident. It shows up as friction, spread across the month, and it’s felt most acutely by companies in the middle of their growth.
Take something as routine as a mid-month salary revision. If HR updates it in one system but forgets to update it in the payroll system and runs off a slightly older export, the calculation of statutory deductions will go wrong.
Nobody notices until an employee raises a query or an audit flags it, and by then, fixing it means revised filings, not just a revised payslip.
Or something basic like when the top management asks about the attrition rate of the past quarter. In disconnected HR tools, it’s a waste of time that goes into exporting from two or three systems and hoping the numbers agree once merged.
Performance reviews run into the same wall. A manager sitting down to review an employee is often unable to access the employee’s attendance, workload, and compensation data from one place. Attendance lives in one system, workload in another, and compensation in a third. Different logins and different exports before the actual reviewing even starts.
Employees feel it too. A leave request that shows “pending” in one system and “approved” in another doesn’t read to them as a software glitch. It reads as the company not having its own records straight.
Onboarding carry a quieter version of the same cost. A new hire’s details get typed into the ATS, then retyped into the HRMS, then retyped again into payroll three chances for a bank account number or a designation to be entered slightly differently each time.
The matter of offboarding is even more critical. A resignation triggers a final settlement calculation in one system, an asset-return program runs in another, and an access-revocation request that someone has to remember separately. When the response to all these isn’t the same, the risk isn’t just administrative clutter; it’s a departed employee still holding system access, or a final settlement built on numbers nobody double-checked against attendance.
“HRs don’t lose trust in software because a tool is bad. They lose trust because the numbers from different systems are never the same, and nobody knows which one is right,” Alpesh Vaghasiya, Founder and CEO of Superworks.
Why is this becoming an important matter for CHROs right now?
Though the problem isn’t new, it’s definitely an expensive one. India’s labour codes are rolling out state by state. Each rollout tends to touch the same fragile spots: wage definitions, statutory contributions, working-hour calculations. All depends on attendance, payroll, and core HR data that needs to be completely accurate.
When that data lives in disconnected systems, every regulatory change becomes a scramble. Someone has to check whether attendance rules, salary structures, and payroll reflect the new requirement across every system or not. Miss one, and the gap surfaces in the next filing, not before.
It’s worth flagging here that specific rates, thresholds, and effective dates under the labour codes should always be verified against official sources since these details continue to evolve as implementation proceeds. But the structural point holds regardless of the specifics: the fewer systems a compliance update has to be applied to correctly, the fewer places it can quietly go wrong.
The changes in four labour codes- Code on Wages, Industrial Relations Code, Code on Social Security, and Occupational Safety, Health and Working Conditions Code – aren’t about just changing a number. A revised wage definition can ripple into how overtime is calculated, how PF contributions are computed, and how leave encashment is valued at exit, often across states with slightly different notification timelines. In a disconnected system, each of those ripples has to be traced and applied manually, system by system, by someone who has to remember every place the old definition was hard-coded in.
That’s the calculation a growing number of CHROs are now running explicitly. A stack that was perfectly adequate for a 150-person company with one state of operations often isn’t adequate for the same company at 400 people and three states, not because the individual tools got worse, but because the number of places a compliance change now has to be applied correctly has multiplied.
How are CHROs actually evaluating their stack now?
The useful shift isn’t “buy a bigger platform.” It’s asking a sharper question of whatever platform is being considered, current or new: does data move on its own, or does someone on the team have to move it?
Most vendors answer this the same way: they integrate. A payroll tool connects to an attendance tool through an API, data syncs overnight, and it gets called “unified.” That’s real progress over spreadsheets. But it’s not quite the same thing. The two systems are still separate- they just sync on a schedule. In the gap between syncs, they can disagree without anyone noticing until the next update catches them up.
That’s different from a system built on one shared data layer from the start, where a record created at the hiring stage is the same record HR, payroll, and reporting are all reading from. There’s no sync window, because there was only ever one dataset to begin with.
“Our focus was not to build just another payroll or HRMS tool that connects with others. We always wanted to build a comprehensive solution that enables businesses to run the entire HR operation from one place, right from hiring a candidate to their retirement.”
When it comes to evaluating platforms, a CHRO focuses on three similar but key questions that tend to separate genuine unification from well-branded integration: Does a new hire’s profile need to be re-entered when they move from the recruitment system into HR? Does attendance data feed the next payroll run automatically, or does someone still export and upload it? And when an employee exits, does one action update the record, settlement, and asset return, or does that fall to three people checking three systems manually?
Framed this way, the evaluation stops being about which vendor has the longest feature list and becomes something more concrete: how many places does a single piece of information have to live correctly, at the same time, for this company’s compliance and payroll to be right this month?
This matters just as much for companies with a large field or on-the-ground workforce. A field employee logging attendance from a site visit through a mobile app shouldn’t be creating a separate dataset that the payroll team then has to reconcile against office attendance at month-end. The same test applies: is that field attendance record the same one payroll is already looking at, or is it waiting to be matched up manually?
The question that is worth asking before your next system review
Five tools that don’t talk to each other were never five solutions. They were one reconciliation problem, split five ways.
CHROs reviewing their stack this year should ask a simpler question than “how many features does this platform have?” Ask this instead: does data move between systems on its own, or does someone on the team still move it by hand every month?
If someone’s still doing it manually, that’s not a software preference. It’s a risk, and it tends to surface at the worst possible time: when a compliance deadline and a data mismatch land in the same week.
But it’s the test that Superworks was built for. A single platform where data regarding attendance, onboarding & offboarding, leave, shifts, etc. stays in one place, rather than in different places.
About Author
This Article is Written by Mr Alpesh Vaghasiya, Founder & Co-founder of Successful Ventures, Angel Investor in Multiple Businesses & Charter Member of TiE Surat
Mr Alpesh Vaghasiya is a serial entrepreneur, investor, and technology leader with over 15 years of experience building and scaling businesses across SaaS, product engineering, and mobile gaming. He is the Founder & CEO of Superworks, a leading business management solution helping Indian businesses simplify HR, payroll, workforce management, and operations. Apart from Superworks, Mr Alpesh is also the Founder & Director of Artoon Solutions, a global product engineering company serving clients across 30+ countries. He is also the Founder of Artoon Games, whose gaming products have achieved 100+ million downloads worldwide. Known for his practical approach to business growth and innovation, Mr Alpesh frequently speaks on SaaS, HR technology, AI-driven workplaces, entrepreneurship, and scaling businesses from India for global markets. A Charter Member of TiE Surat and an active angel investor, he is passionate about supporting the next generation of founders who want to build a lasting impact by creating an innovative technological ecosystem. For further insights into the evolving workplace paradigm, visit
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