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Updated Jun 12, 2026 · 15:26
Technology News Updated Jun 12, 2026

94% of Indian Firms Use Payroll Data for Hiring & Retention

Over 94% of Indian organizations now use payroll data for key business decisions like hiring, retention, and cost optimization, according to an ADP report. Payroll has evolved from an afterthought to a strategic starting point for workforce planning and budget simulations. Despite rapid digital adoption, 45% of firms cite managing compliance across regions as a major challenge. The report also notes that over 96% of respondents use or plan to use predictive analytics, with half intending to deploy AI-powered payroll systems soon.

Over 94 pc firms in India use payroll data for hiring, retention decisions: Report

New Delhi, June 12

As artificial intelligence reshapes workplaces and workforce management, payroll in India is undergoing a major transformation, with over 94 per cent of organisations leveraging payroll data for business decisions related to hiring, retention and cost optimisation, a report showed on Friday.

A report by ADP highlighted that payroll data now plays a meaningful role in key business decisions related to hiring, employee retention and cost management, highlighting its growing importance in shaping workforce strategy.

Six in ten organisations said they already use payroll data for budget simulations, while many are also applying payroll insights to workforce planning, variable pay modelling and market benchmarking.

"Payroll is no longer a function that organisations consider after decisions are made. It has become a starting point for planning, enabling more informed and timely decisions while ensuring the accuracy and compliance that employees rely on," said Rahul Goyal, Managing Director, ADP India and Southeast Asia.

The report highlighted that despite rapid digital adoption, payroll accuracy remains the foundation of effective pay practices.

However, organisations continue to face operational challenges arising from fragmented systems, manual data entry and changing regulatory requirements.

Nearly 45 per cent of organisations surveyed identified managing payroll compliance across regions as a major challenge, accelerating the shift towards integrated and AI-enabled payroll systems supported by automation and governance frameworks, according to the report.

Moreover, over 96 per cent of respondents reported either using predictive analytics or planning implementation, while one in two organisations said they intend to deploy AI-powered payroll systems over the next 12 months.

Companies continue to emphasise responsible AI deployment, stronger data governance and human oversight to ensure fairness, transparency and quality in payroll processes, the report said.

— IANS

Reader Comments

Priya S

As a HR professional, I can confirm this shift is real. We now use payroll data to identify top performers and predict attrition risks. The challenge is ensuring data privacy—employees need to trust that their salary isn't being misused. Hope companies are transparent about how they use this data! 🔒

Aditya G

45% struggling with compliance across regions? That's no surprise. Our tax laws and labour regulations vary wildly from state to state. AI could help, but I worry about job losses for payroll clerks and auditors. Technology is great, but let's not forget the human touch in handling sensitive salary matters.

Kavya N

Honestly, this feels like another way for companies to control employees. Payroll data should be confidential—using it for 'retention decisions' sounds like monitoring who might leave and preemptively firing them. India's job market is already insecure; we don't need Big Brother watching our salaries. 😒

Siddharth J

Great development! Our startup implemented predictive analytics last year and saw a 20% reduction in attrition. The key is using data ethically—payroll trends can show if a team is overworked or underpaid. But smaller Indian companies lag behind; the government should subsidize digital payroll tools for MSMEs. 🚀

We welcome thoughtful discussions from our readers. Please keep comments respectful and on-topic.

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