With AI Automation delivered to its Fortune 500 customers of $16B in combined revenue, Payslip has more than doubled its own revenue, growing ARR by 102% and achieving a 70% CAGR.
Payslip AI & Automation Technology transforms Global Payroll, as new leadership appointments position the company for its next phase of growth
June 30th, Dublin – Payslip announces it is powering payroll for over 100,000 employees globally, driven by new enterprise partnerships with companies including Booking.com & EQT.
Payslip’s platform now powers global payroll operations for companies generating over $16 billion in combined annual revenue and supporting more than 100,000 employees worldwide. In parallel, Payslip has more than doubled its own revenue, achieving 102% ARR growth between December 2022 and December 2024, and sustaining a 70% CAGR.
Founded in 2016 in Westport, Co. Mayo by entrepreneur Fidelma McGuirk, Payslip is one of Ireland’s leading FinTech companies and the market leading global payroll technology provider. Payslip empowers multinational enterprises with scalable, standardized payroll solutions. In November 2024, it strengthened its board with David Clarke (ex-Workday CTO) and Barry Dowling (TransferMate Co-Founder). A strategic partnership with Deloitte further reinforces its growing enterprise impact.
“We’re delighted to be powering payroll for leading global companies like Booking.com and EQT, as they scale across international markets,” said Fidelma McGuirk, Founder & CEO of Payslip. “We’re also equally proud to welcome Ann Marie Smith and David del Pino to our senior leadership team. Their experience will be instrumental as we enter a new phase of growth.”
“With the launch of Payslip’s AI Payroll Element Classification Solution, Payslip has achieved an industry holy grail. This is a turning point for the industry: Payslip AI automates the identification, mapping, and normalization of complex payroll data across countries, removing manual effort and accelerating automated standardization. Payslip Control Platform is market unique as it unifies all global payroll data into one Global Payroll System of Record. With Payslip AI, the global data standardization & unification is now achievable in minutes. It’s a major innovation toward smarter, more scalable payroll.”
Stefan Hjerne, Head of Payroll and Benefits at EQT Group said “Payslip automates our payroll operations across EQT’s 20 countries, transforming our processes and setting us up for continued growth and expansion”. Payslip’s Global Payroll Control Platform is ideally suited to world leading Private Equity Company EQT, as they scale through international M&A. Payslip customers report an average of 40% efficiency gains during every pay run as a direct result of Payslip AI & Automation.
Payslip AI Element Classification Solution brings automation to one of the most complex parts of global payroll: mapping and standardizing data from multiple countries and providers. By applying machine learning to identify and normalize payroll elements, the tool reduces manual input, shortens onboarding timelines, and improves data consistency across systems. It’s a foundational capability designed to support faster, more scalable payroll operations for enterprise clients.
About Payslip
Payslip is a Global Payroll Technology Company that empowers global enterprises with advanced AI and Automation, seamlessly complemented by robust Automated Integration capabilities. Payslip standardizes and automates global payroll operations, unifies multi-country payroll data, and streamlines reporting at scale. Payslip integrates with HCM, accounting, and ERP systems, ensuring smooth data flows across the enterprise. With Payslip, organizations achieve centralized control, real-time visibility, and enterprise-grade compliance, making it easy to expand into new markets with confidence.
Founded in 2016 by Fidelma McGuirk and headquartered in Mayo, Ireland, Payslip is backed by $16.0 million in funding from venture investors including Tribal VC, Frontline Ventures, MiddleGame Ventures and Mouro Capital.
