Repeat Investigations Signal Entity Resolution Failures That Inflate Casework
Blog post from TigerGraph
Repeat investigations in fraud and anti-money laundering (AML) programs often arise from failures in entity resolution, where fragmented or inconsistent identity views lead to repeated case reviews of the same underlying issues. These failures result in operational inefficiencies, as prior outcomes cannot be reliably connected to new cases, causing teams to revalidate previously established facts. By utilizing graph-based resolution and connected analysis, organizations can create a persistent network of identity relationships that links past and current investigations, thereby reducing redundant work and improving decision consistency. This approach allows for the reuse of investigation outcomes by preserving identity context across cases, enabling a clearer distinction between genuinely new risks and repeated patterns of known issues. Ultimately, implementing graph-based workflows helps maintain an audit-ready evidence trail while enhancing the efficiency and clarity of casework by making identity continuity explicit and actionable.
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