Oracle Fusion and Azure cloud implementations for finance and insurance
Fusion Practices delivers Oracle Fusion Cloud ERP and Azure data platform implementations, primarily for insurance and banking sectors. The tech stack is deeply Oracle-centric (Fusion Financials, Integration Cloud, Visual Builder, APEX, Exadata) with SQL Server and Informatica for data integration—a classic enterprise middleware profile. Hiring is exclusively senior engineering and data roles in India, signaling delivery-focused scaling rather than headcount expansion in the UK.
Notable leadership hires: Oracle Financials Lead
Founded in 2006 and headquartered in London, Fusion Practices is a privately held Oracle and Microsoft partner specializing in cloud migrations and finance transformations. The company works with mid-market insurance, banking, and retail organizations on data-driven ERP implementations, moving on-premise systems to Oracle Cloud or Azure, and automating manual finance and insurance processes. Core service areas span Oracle Fusion implementation, IFRS17 and IFRS9 compliance, planning and consolidation (PBCS/EPBCS), and integration architecture. Active delivery projects focus on Fusion ERP implementations, regulatory accounting systems, and credit loss calculation engines.
Oracle Cloud ERP, Oracle Fusion Financials, Oracle Integration Cloud, Oracle Visual Builder, SQL Server, Informatica, Control-M, and Oracle Exadata. Heavy emphasis on Oracle enterprise suite with SQL Server and data integration tools.
Insurance, banking, and retail. Specialization includes IFRS17 and IFRS9 compliance implementation, regulatory accounting, and finance process automation for regulated industries.
Fusion Practices'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.