dismissed EB-2 (NIW) RFE Issued

Owner, CEO, And Founder

Artificial Intelligence (AI) Fraud Detection Company For Fintech Companies · 2024-10-21

Decision Date
2024-10-21
This case is from a USCIS Administrative Appeals Office (AAO) appeal decision. Appeal cases represent a subset of petitions and may not reflect typical outcomes.

Proposed Endeavor

The Petitioner proposes to start an Artificial Intelligence (AI) fraud detection company that will develop and implement AI-based fraud detection systems for fintech companies. This involves creating algorithms to analyze financial data, identify patterns, and detect fraudulent activity.

Framework Evaluation

1 of 3 criteria met
1 Proposed endeavor has both substantial merit and national importance Met

The Director found, and the AAO did not dispute, that the proposed endeavor of AI fraud detection for fintech companies has substantial merit and national importance.

2 Individual is well-positioned to advance their proposed endeavor Not Met

The Petitioner failed to demonstrate sufficient experience in entrepreneurship or creating AI algorithms, despite a background in risk management, thus not proving she is well-positioned to advance the specific proposed endeavor.

Why This Petition Was Denied

The appeal was dismissed because the Petitioner failed to satisfy the second prong of the Dhanasar framework. While Prong 1 (substantial merit and national importance) was met, the Petitioner did not demonstrate she was well-positioned to advance the endeavor due to a lack of experience in entrepreneurship and algorithm creation, despite her extensive background in risk management. The AAO concurred with the Director's finding that the evidence, including a business plan, letters of support, and academic degrees, did not sufficiently prove her capabilities in the specific proposed endeavor.

Request for Evidence (RFE)

Unsuccessfully Addressed

The RFE requested further evidence regarding the Petitioner's qualifications and ability to advance her proposed endeavor. The Petitioner responded with a business plan, letters of support, a resume, certificates of training, and letters of interest, but these were deemed insufficient to establish her experience in entrepreneurship or algorithm creation.

RFE Targets
Individual is well-positioned to advance their proposed endeavor

Evidence

Evidence Types
Reference Letters Independent
Professional Memberships
Original Contributions
Reference Letters Dependent

Similar Cases

Data Scientist

Artificial Intelligence · China

WeGreened EB-2 (NIW) rfe approved
New Jersey 180 days 2025-07-22
The petitioner proposes to develop advanced machine-learning models and AI-driven risk-prediction frameworks to detect trading anomalies and predict systemic financial risk. This work includes creating multimodal transformer architectures for real-time fraud detection and explainable AI pipelines to assist financial decision-makers.

Consultant

Information Technology

USCIS EB-2 (NIW) dismissed
2024-09-30
I will spearhead the development of blockchain-based anti-fraud solutions, employing cutting-edge techniques such as advanced identify verification, smart contracts, encryption methods, amongst others, to mitigate the prevalence of fraudulent activities that currently plague the financial industry. This approach will promote security, transparency and efficiency in major industries including healthcare services, education, small businesses, and fintech which play a crucial role in the national life and socioeconomic wellbeing of the nation. By focusing on leveraging emerging technologies such as artificial intelligence (AI), machine learning, and robust cyber-security measures, my endeavor holds significant value and national importance, as it essentially applies a tool important for the success of business and national security operations-Information Technology (IT).
USCIS EB-2 (NIW) dismissed
United States 2024-04-30
The petitioner intends to operate a consultancy company providing fraud and loss prevention services to small- and medium-sized businesses in the United States. The endeavor focuses on implementing and upgrading internal safety systems to reduce financial, regulatory, and image-related risks.

Data Scientist

Financial Services

USCIS EB-2 (NIW) dismissed
2025-04-09
The petitioner proposes to use machine learning, advanced modeling, and simulation methodologies to build data pipelines, dashboards, and visualization tools. The work focuses on ensuring the stability of transaction monitoring operations and anti-financial crime (AFC) program frameworks to mitigate financial crime risk. It aims to increase compliance with regulations critical to a stable financial system.

Frequently Asked Questions

A dismissed EB-2 NIW petition means USCIS found the evidence insufficient to meet the eligibility criteria. Common reasons include weak documentation, failure to meet the required number of criteria, or insufficient evidence of the claimed qualifications. Petitioners can refile with stronger evidence or explore alternative visa categories.

Browse More Cases

Case data sourced from publicly available petition decisions and case studies. Decision date: 2024-10-21.

Browse all cases

At a Glance

Outcome dismissed
RFE Issued
Criteria Met 1 / 3
Evidence Types 4

EB-2 (NIW) Case Data

Scraped Case Data

Total Cases 3,895
Success Rate 54.2%
Sustained 2,112
Dismissed 1,687

Get Case Insights

Compare your profile against thousands of real petition outcomes. Join the waitlist for personalized analysis.

Join Waitlist