SAR Narrative Quality and Regulatory Defensibility: A Quality-Control Model for Suspicious Activity Report Approval Workflows

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Adaora Kalu
Samuel Fadero
Omotayo Pedro
Oluwatobiloba Mide-Ibrahim

Abstract

Suspicious Activity Reports (SARs) are a principal channel through which financial institutions convert observations of unusual financial behaviour into intelligence for financial intelligence units and law-enforcement authorities, yet their value depends less on filing volume than on the quality and defensibility of the narratives submitted. This review examines SAR approval workflows as organisational control systems and develops a quality-control model for strengthening narrative quality and regulatory defensibility. Drawing on anti-money laundering scholarship from multiple jurisdictions, together with quality-management, governance and continuous-assurance literature, the study identifies the attributes of a defensible narrative: clarity, completeness, chronology, factual grounding, contextual relevance, concision and evidentiary coherence. It further identifies workflow vulnerabilities that weaken reporting quality, including fragmented accountability, inconsistent reviewer judgment, excessive reliance on automated outputs, weak escalation practices, inadequate documentation and throughput pressures that prioritise speed over substance.


The review finds that control failures concentrate at workflow interfaces, particularly investigation handoffs, evidence reconciliation, escalation and final authorisation. In response, it proposes a closed-loop model linking investigation, narrative drafting, independent quality review, escalation, filing, post-filing assurance and defect analytics. The model incorporates standardised review criteria, defect taxonomies, reviewer calibration, version control, auditable decision trails and quality-oriented metrics, while positioning technology as a support for, rather than a substitute for, accountable human judgment. The study contributes by repositioning SAR quality as an enterprise control function rather than a writing task, offering institutions a structured basis for demonstrating that reporting decisions were reached through consistent, evidence-based and transparent processes.

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How to Cite

Kalu, A., Fadero, S., Pedro, O., & Mide-Ibrahim, O. (2024). SAR Narrative Quality and Regulatory Defensibility: A Quality-Control Model for Suspicious Activity Report Approval Workflows. International Journal of Humanities and Information Technology, 6(04), 370-396. https://doi.org/10.21590/

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