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But technology architectures should evolve when the problems they were designed to solve change. The global payroll challenge is no longer simply whether a provider can process payroll in a particular country. The more important question is how efficiently, transparently, intelligently, and consistently that provider can process payroll across all of an enterprise’s countries. The future will not eliminate local compliance, local expertise, payroll professionals, or specialized partners where local representation is required. What it should eliminate is unnecessary fragmentation. The next generation of global payroll will increasingly be built around native calculation technology, standardized global data models, deeply connected HCM ecosystems, automated controls, integrated payments, connected tax management, real-time reporting, and AI-driven payroll intelligence. Instead of using technology primarily to orchestrate a network of disconnected payroll systems, technology itself becomes the global payroll infrastructure. Building Globalli has reinforced this point for me. Developing native gross-to-net capability across more than 125 countries while connecting calculation, YTD migration, reporting, tax

management, integrations, and AI into a common architecture has demonstrated that the goal of global payroll technology should not be to pretend local complexity does not exist. Local complexity will always exist. The goal is to build an architecture capable of absorbing that complexity without continuously passing it back to the customer. The industry spent the last two decades solving global payroll coverage. The next decade will be about solving global payroll architecture. That may ultimately be what brings about the death of the traditional aggregator model, not because aggregation failed, but because it accomplished what it was designed to accomplish and technology has now reached the point where enterprises can demand something better. The winning global payroll platform of the future may not be the provider connected to the greatest number of payroll engines. It may be the one that needs the fewest.

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ISSUE 28 GLOBAL PAYROLL MAGAZINE

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