Developing an Organised Crime Intelligence Framework for the Economic and Financial Crimes Commission

The EFCC's current operational model is primarily reactive and case-driven rather than intelligence-led against organised financial crime networks, and developing a professional organised crime intelligence framework would enhance its capacity to disrupt criminal enterprises systematically rather than pursuing individual cases in isolation. This study developed an organised crime intelligence framework for the EFCC, focusing on its mandate against advance fee fraud syndicates, money laundering networks, and cryptocurrency-enabled financial crimes. A professional framework development methodology was employed, drawing on structured interviews with 16 EFCC investigators and intelligence officers, assessment of the EFCC Financial Intelligence Unit's current analytical capacity, and benchmarking against Europol's SOCTA methodology, FATF organised crime typologies, and the US FinCEN analytical framework. The assessment identified four key intelligence framework gaps: absent enterprise analysis for mapping the full structure of identified crime networks, limited open-source intelligence integration, no predictive financial intelligence analytics, and absence of structured criminal network disruption planning beyond individual prosecutions. The framework designed specifies an intelligence division structure, enterprise analysis methodology, threat assessment cycle, inter-agency intelligence sharing protocols with NFIU and NIA, and criminal network disruption evaluation metrics. Expert review by nine organised crime intelligence and financial crime specialists confirmed the framework's professional adequacy. The study recommends EFCC Chairman directive adoption with UNODC technical assistance support for initial implementation.

Keywords: organised crime intelligence, EFCC, financial crime, intelligence-led enforcement, Nigeria