Your employees, EOR workers, and contractors are all on payroll. Why are you running three separate systems to pay them?

Every worker type has its own vendor, its own data, its own failure mode. When a payment is wrong or late, regardless of worker type, you're the one tracing it across systems and fielding the calls. Globalli runs all three on a single workflow across 127+ countries, powered by a single compliance engine.

One workflow

Regardless of worker type or country

127+ countries

Owned infrastructure, not aggregated vendors

Errors caught before

The pay run closes, not after

The problem with separate systems

The payroll manager's job changed. The systems didn't.

Payroll is a defined function: data goes in, compliance logic runs, and payments go out. When that function runs across multiple vendors and worker types, it changes. The payroll work shrinks as a share of the week. The coordination work around it grows. With ten countries, the ratio has shifted materially. At fifteen, the job is no longer primarily payroll. It is infrastructure management.

You are the integration layer between systems that don't talk to each other

Data comes from your HRIS in a single format. Your UK vendor needs it in another. Your German vendor has its own import template with different fields and different column headers. Your Singapore vendor works off a different system entirely. Each export-reformat-import step is a potential failure point. Each failure requires vendor coordination before the cycle can continue. The data assembly step that should not exist consumes the first two days of every cycle.

EOR and contractor data sit outside the payroll workflow entirely

Own-entity employees are in your HRIS. EOR headcount is provided by your EOR provider on a different schedule. Contractors invoice separately through Finance. Before every cycle close, you manually assemble the complete workforce picture from three sources that were last updated at different times. The spreadsheet that holds the assembled total is the last line of defense before an error reaches an employee, because the systems won't catch it.

When a payment is wrong, you find out from the employee, not the system

An employee in the Netherlands didn't receive their full salary. A contractor in Singapore was paid in the wrong currency. An EOR employee's statutory deduction was calculated against a rate that changed last quarter. Fragmented systems don't catch these before the pay run — every system boundary is a transformation step, and transformation steps could fail. You find out when the emails arrive. Then you spend hours tracing the error backward through every system the data touched, coordinating with vendors across time zones, while the next cycle builds up behind you.

Every new market permanently increases the overhead on every subsequent cycle

A new market adds a vendor contract, a new data format, new reconciliation checks, and a new compliance environment to track manually. None of those costs are one-off — they run on every cycle for as long as that country is in operation. The fifth country adds to the load of the first four. The tenth adds to all nine before it. The business reads the headcount request as a resourcing problem and approves it. The architecture remains unchanged. The next expansion restarts the cycle at the next level up.

"No single view of the full workforce is not a reporting limitation. It is a structural control gap that the payroll manager manually compensates for every cycle."

What one workflow change

Same process. Whether they're an employee, an EOR worker, or a contractor.

On Globalli, the worker type changes how compliance and payment terms are structured, rather than the workflow your team follows. All employment types live on the same platform. When a cycle opens, the full workforce picture is already there — every country, every worker type, already reconciled. The spreadsheet that previously held the assembled total no longer exists because the assembly step has been removed.

Fragmented stack — your week

HRIS export reformatted per vendor format

EOR invoices reconciled separately

Contractors invoiced through the Finance tool

Workforce picture was assembled manually in a spreadsheet

Compliance tracked and verified per vendor

Errors surface after employees are affected

New country = new vendor, new integration, new overhead

Globalli — your week

One pay run covers employees, EOR, and contractors

All worker types on the same data model

Full workforce picture present when cycle opens

No manual export, reformat, or reconciliation

Compliance updates applied automatically before pay run

Anomalies flagged before the cycle closes

New country = configuration, not procurement

"The reconciliation process is not inefficiency. It is the manual compensation for an architecture that cannot verify its own output. The payroll team runs it every cycle because the systems require it."

See it in practice

What does it cost to run it fragmented

The costs are real. They're just distributed across budgets that never get totalled.

Finance tracks vendor invoices. The payroll team absorbs the overhead for coordination. Engineering absorbs the integration and maintenance. No single function owns the full number,  which is why it's usually higher than the working assumption.
Cost category What it includes Indicative annual range
Vendor fees Processing, per-country platform fees, EOR, and contractor management, entity setup charges $60K–$300K
Operational headcount Coordinators and admin capacity attributable to vendor fragmentation,  not to payroll volume growth $210K–$400K
3–4 FTEs at $70K–$100K fully loaded
Reconciliation time Manual validation, vendor coordination, and error correction per cycle across all countries and worker types 36–60 working days/year
Integration and engineering Build and ongoing maintenance of connections between payroll, HRIS, EOR, and payments systems $50K–$150K
FX markups Margin on cross-border disbursements across employee payroll, EOR, and contractor payments; embedded in exchange rate, not invoiced $5K–$20K per $1M disbursed
Finance sees the vendor invoices. Payroll absorbs the coordination. Engineering absorbs the integrations. No function owns the full number. Total: not visible in any single budget

 

Based on a 10-country operation. Sources: ADP Global Payroll Survey 2023; Salary.com Payroll Coordinator Salary 2025; Bindbee API Integration Cost Research 2026; Peorient Global Payroll Services Cost Guide 2026; Airwallex Bank Exchange Rate Markup 2025. Ranges are indicative. Actual cost depends on employee count, vendor mix, and country configuration.

The full breakdown — all five cost categories with worked examples — is in the What is the True Cost of Global Payroll Executive Guide.

Calculate your cost

Most payroll managers running fragmented systems have a sense of what it costs. Let's put a number on it.

Global payroll cost model

Enter your countries, worker mix, vendor count, and reconciliation time. Takes five minutes. The model calculates vendor fees, FX markup, reconciliation overhead, integration maintenance, and headcount costs, and shows you the full number your current setup is carrying.

Country complexity reference

Compliance overhead varies by market. Here is what that means operationally.

Not all countries create equal overhead. These are the markets where fragmented operations create the highest operational risk and where the gap between a native unified platform and an aggregator model is most visible.
Country Complexity What it means for your payroll operation
Brazil High eSocial requires precise digital filing across multiple event types per employee. Contribution rates and filing rules change regularly. BRL disbursements carry a high FX cost. Requires a vendor with deep eSocial expertise — a generalist global provider is insufficient
Germany Medium-high In some cases, works council obligations mean payroll changes require consultation before implementation. Social insurance filings are handled by multiple bodies with separate deadlines. GDPR and BDSG create strict data residency requirements. Late filings generate fines that escalate quickly.
India High PF, ESI, and Professional Tax deductions are handled through separate filings with different deadlines and state-level variations. Contractor vs. employee classification is a material compliance risk. Reconciliation across multiple filings per employee per cycle is standard,  not an edge case.
Singapore Medium CPF contributions require exact employer and employee splits, with rates varying by age band and residency status. The regulatory environment is relatively stable. FX cost on USD-SGD is lower than in most markets. First-time market entry is operationally manageable with the right setup.

 

What to ask when evaluating

The questions that tell you whether a platform removes the coordination layer or just rebrands it

Most demos show you the interface. The two models — aggregator and native unified architecture — look identical in a demo. What differs is what happens at the data layer when payroll runs under pressure, and what the investigation looks like when something doesn't close correctly.
Do employees, EOR workers, and contractors run on the same data model?

If each worker type is managed by a different system, even if they are owned by the same vendor, data still moves between them. That movement is a failure point. A genuine unified platform means that all worker types share a single data model. There is no sync between systems because there is only one system. Ask the vendor to show you the data flow between worker types, not just the consolidated report.

Is this owned infrastructure or an aggregator using local vendors per country?

An aggregator reduces the number of vendor relationships you manage directly. It does not change the underlying architecture or the operational consequences that architecture produces. The reconciliation steps, compliance monitoring, and error investigation paths remain because the data layer that generates them remains. Ask specifically: who owns the payroll engine in each country you operate in?

When a compliance rule changes, who applies it? Your team or the platform?

If the vendor notifies you of a change and your team updates the system, you are still the compliance layer. Brazil, India, and Germany each generate multiple compliance updates per year affecting payroll calculations. On a fragmented stack, each task is manual. On a native unified architecture, none of them are. Ask: What happened on your platform the last time Germany updated its social insurance rates?

What does adding a country require from your team, and what does it add to every future cycle?

On a fragmented stack, a new country adds permanent overhead to every subsequent cycle,  not just the onboarding cost. On a unified platform, a new country is a configuration event: compliance logic, contribution rules, and payment rails are already built in. The operational load of existing countries does not increase when a new one is added. Ask the vendor to walk you through what adding a country looks like for your team on day one and day ninety.

How Globalli Works

One platform for every worker type. The coordination layer is structurally absent.

Employee payroll, EOR, and contractor payments on a single architecture with a shared data model across 125+ countries. One workflow regardless of worker type. Compliance logic is maintained natively and applied before each pay run. When something goes wrong, the audit trail is in one place.

One workflow, all worker types

Employee type determines compliance rules and payment structure. It doesn't change the workflow your team follows. Own-entity, EOR, and contractors run in the same cycle.

Shared data model

Payroll, HRIS, EOR, and contractor data in a single layer. No manual exports. No reformatting. No assembly step can open before the cycle.

Compliance maintained natively

Local tax and labor rules are updated continuously across 127+ countries. Applied automatically before each pay run. No notification to act on. No check to add to reconciliation.

Errors caught before pay runs

AI flags anomalies and discrepancies before the cycle closes. Payment errors are caught in the system. When something does go wrong, the full audit trail is in one place.

What's next

If any of this describes your current setup, it's worth a conversation.

 

Still figuring it out?

Talk to us about your setup

Tell us how you're running payroll today — countries, employee types, where the friction is. We'll walk you through what a unified platform changes for a team like yours, and whether it makes sense for your situation.
Let's talk about your setup

Ready to see it live?

Schedule a custom demo

Walk us through your countries, worker types, and where manual work is done today. We show you the same cycle on Globalli—what your team stops doing and what happens automatically instead.
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