Accounting outsourcing with ERP migration and AI workflow automation
Global Finance Teams operates a managed accounting services business with a lean engineering footprint but an active tech transformation underway. The stack shows a deliberate shift from QuickBooks toward NetSuite and Sage Intacct—a move aligned with their ERP migration project and pain points around manual invoice workflows and data accuracy. Projects span both operational automation (invoice collection, supply chain) and GTM work (thought leadership, product positioning), signaling a company scaling from pure outsource delivery toward a more branded, repeatable service model.
Notable leadership hires: Content Marketing Lead
Global Finance Teams is an accounting and finance outsourcing firm based in San Francisco, founded in 2019. The company provides managed accounting services—ranging from single-person placements to full finance teams—covering GAAP accounting, finance, and systems administration for mid-market and enterprise clients. Staffing operations span Mexico and Philippines, with 51–200 employees domestically. The business combines traditional outsource delivery with emerging capabilities in ERP implementations, invoice automation, and AI-driven workflows, as reflected in their current project slate and technology adoption.
GFT actively uses NetSuite, Sage Intacct, SAP, and Oracle. They are currently adopting NetSuite and Sage Intacct while moving away from QuickBooks and QuickBooks Online—part of an ongoing ERP migration project.
GFT staffs operations in Mexico and Philippines, reflecting an offshore-enabled delivery model for their managed accounting and finance outsourcing services.
Global Finance Teams's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.