Real World Case Study
A real-world example of how DeliverFund's technology equips financial institutions to detect illicit networks faster, more accurately, and with less human cost.
Top Ten Publicly Traded Bank with over $500 Billion in Assets
Reduce overall AML investigation manhours while improving consistency and documentation
Evaluation of DeliverFund's PATHFinder data under real-world conditions
Financial crime investigators at a major U.S. commercial bank spent considerable time validating whether emails, phone numbers, and WhatsApp numbers linked to customers or counterparties showed indicators of human trafficking activity.
A large portion of that work was repetitive open-source intelligence (OSINT) research, including news lookups and reviewing publicly available advertisements where trafficking victims may be marketed or targeted.
Before using DeliverFund's PATHFinder data, reaching a defensible conclusion meant bouncing between multiple sources, manually collecting artifacts, and rebuilding the same link analysis every time a new identifier emerged.
Average investigation time before PATHFinder
Inconsistent manual OSINT processes
Varied evidence collection across investigators
Unnecessary exposure to traumatic content
Purpose-built to track digital fingerprints tied to illicit activity, with a specific focus on uncovering phone numbers and email addresses linked to human trafficking.
DeliverFund's PATHFinder integrates human trafficking-specific data with comprehensive negative news capabilities, resulting in fewer dead ends and faster validation from a single identifier.
The platform can function as a stand-alone tool or be integrated via API into existing case management systems, providing flexibility for different institutional architectures.
Investigators immediately gained access to trafficking-linked signals and connections instead of rebuilding manual research loops every time a new identifier emerged.
Average minutes per investigation
Percentage of false positives in investigations
Cases reviewed per investigator, without adding headcount
Monthly hours saved across 100 investigations
Standardized evidence collection across all investigators, improving quality assurance and regulatory examination readiness.
Improved SAR filing accuracy and speed, strengthening the bank's overall FinCEN compliance posture.
Minimized unnecessary traumatic image exposure while still providing investigative needs, reducing burnout risk and providing HR liability protections.
December 2025
A new account was opened. Early on, several human trafficking risk indicators emerged: fast movement of funds, high velocity low-dollar transactions from multiple unrelated third parties, and frequent profile changes.
Shortly after opening, the customer changed both their email and phone number, triggering an internal fraud alert tied to profile changes.
Searching the new phone number and email in PATHFinder, the investigator found the identifiers associated with an adult services advertisement within minutes. The number appeared across multiple websites with related connections supporting the risk narrative.
Everything was in one place. The investigator moved from identifier to connections to supporting evidence quickly, captured the screenshots needed, and built a clean, consistent write-up for escalation.
"Investigations that used to take hours are now handled in minutes because I'm starting with purpose-built trafficking-linked signals and connections, instead of rebuilding the same manual research loop every time."
— Senior AML Investigator
For financial institutions operating under intensifying regulatory scrutiny around human trafficking detection and reporting, the operational efficiency of DeliverFund's PATHFinder data combined with investigative thoroughness represents a significant competitive advantage.
The platform delivers faster, more consistent due diligence, meaning fewer missed signals and less time burned on manual OSINT loops. Repeatable processes make quality assurance smoother and escalations easier.
By providing consistent, well-documented investigative pathways, DeliverFund's data strengthens the institution's defensive posture against regulatory scrutiny while reducing the cognitive and emotional burden on investigators.
For institutions serious about combating financial flows tied to human trafficking and other fraud, tools that combine speed, consistency, and investigator welfare are no longer optional — they're essential.