F-Procure: A Decentralised, Modular Framework for Transparent, Compliant and Efficient Procurement on the Flare Network

Procurement remains constrained by centralised digital architectures that increase administrative effort, limit transparency and complicate compliance management. This paper presents F-Procure: a decentralised, modular procurement framework organised into five layers: blockchain execution, smart contracts, ERP interoperability, AI-assisted analytics and compliance-aware governance. The framework is implemented as a minimum viable prototype on the Flare Network’s Coston2 and Songbird test environments, which are used here as technical testbeds rather than as platforms under evaluation in their own right. Using small-scale, manually executed synthetic procurement scenarios, the study examines whether core stages – tender creation, sealed-bid commit–reveal, award and escrow – can be encoded in smart contracts and traced through verifiable on-chain audit trails. An illustrative comparison with a conventional database-driven workflow suggests that the modular, event-driven design can reduce manual reconciliation effort in bid evaluation and audit preparation within the controlled scenarios tested, although no statistically generalisable performance benchmarks are reported. The prototype also demonstrates how basic procedural requirements (such as submission deadlines and documentation flags) can be expressed as programmable conditions, and how a minimal anomaly-detection layer can flag constructed irregular bidding patterns for human review. The paper positions F-Procure within existing international experiments in blockchain-enabled procurement and related digital-government initiatives and sets out a governance model and policy-oriented adoption roadmap for future public-sector pilots. It concludes that F-Procure should be viewed as an early-stage reference architecture that suggests the potential feasibility of decentralised, compliance-aware procurement, while highlighting the need for larger-scale empirical evaluation, richer technical artefacts and comparative, platform-agnostic analysis in subsequent research.