Alignment with DF goals (BGI, Platform growth, community)

TrueAid is an AI-powered solution designed to help funding organizations monitor NGO activities, detect fraud, and predict risk—before disbursing funds. By ensuring funds reach those who truly need them, TrueAid helps maximize the impact of aid, reduce waste, and support peacebuilding in vulnerable regions. It uses machine learning to track spending patterns, spot anomalies, and forecast high-risk areas based on past trends.

Key Features:

• Data Aggregation: Collects financial and operational data from NGOs.

• Anomaly Detection: Spots unusual spending patterns or inconsistencies in reports.

• Predictive Risk Modeling: Forecasts which regions, NGOs, or projects may pose fraud risks before funds are released.

• Corruption Mapping: Reveals systemic misuse patterns across countries, sectors, or actors.

• Real-Time Alerts: Notifies donors about potential fraud cases.

• Interactive Dashboards: Offers clear, up-to-date insights into how funds are being used.

Problem description

Funding groups struggle to ensure aid reaches those in need. Traditional audits are slow and often bypassed, allowing corruption to thrive. This leads to wasted resources, lost donor trust, and public frustration—fueling unrest in fragile regions. USAID, for example, faced serious allegations of misused funds, including aid reaching terrorist-linked groups, which led to the suspension of its funding programs recently. Without real-time monitoring, misuse often goes unnoticed until it's too late.

Proposed Solutions

TrueAid uses AI to detect fraud in NGO funding. It analyzes financial data in real time, flags anomalies, and sends alerts on suspicious activity. The system learns from new data, integrates global fraud signals, maps corruption patterns, and predicts high-risk projects before funding. Donors get dashboards and early warnings—ensuring aid reaches the right people, not corrupt intermediaries.