Mercans Introduces Revolutionary AI-Powered Time Evaluation Engine for Global Payroll

Mercans, a global leader in payroll technology and workforce management solutions, has unveiled a next-generation AI-driven time evaluation engine designed to transform raw global workforce data into payroll-ready, compliant transactions. Traditional time and attendance systems often capture basic inputs — such as clock-ins, clock-outs, absences, and leave requests — but cannot consistently interpret this information against complex, country-specific labor laws and corporate policies. Mercans’ new engine ingests this unevaluated data and applies thousands of jurisdiction-specific rules, including overtime calculations, rest period regulations, shift premiums, and contractual entitlements, generating fully evaluated time entries that are directly consumable by payroll, finance, and HR systems. This capability not only minimizes manual intervention and the risk of costly payroll adjustments but also enhances compliance and audit transparency by embedding a complete rule trace for every evaluated transaction.

Redefining Workforce Data Interpretation with AI-First Payroll Intelligence
The introduction of Mercans’ AI engine marks a pivotal shift in the payroll and workforce management landscape, allowing multinational employers to standardize time evaluation across borders with unprecedented accuracy and speed. By automating the classification of work hours — from regular time and overtime to statutory and contractual exceptions — the platform eliminates fragmented, manual processes that have long challenged HR and payroll teams. The evaluated output feeds directly into payroll and ERP systems, ensuring that time data is not just captured but fully understood and ready for financial processing. This innovation helps organizations reduce errors, cut down reconciliation efforts, and ensure regulatory adherence in every market they operate. Executives and payroll leaders benefit from a unified view of workforce transactions and compliance status, empowering smarter planning and operational efficiency at scale.