Trustometer - AI-Powered Transparency and Risk Management for Non-Profit Trusts

Solution

Trustometer delivers an end-to-end AI-driven trust management system with:

• 1. AI Beneficiary Verification: Detects anomalies and cross-validates data with external sources to flag potential fraud or duplication.
• 2. NLP-Based Sentiment Analysis: Analyzes donor feedback and public reviews to assess reputation health.
• 3. Dynamic Trust Scores: Calculates real-time scores using governance compliance, fund utilization efficiency, and social signals.
• 4. Stakeholder Dashboards: Provides role-based dashboards for trustees, auditors, and donors to track performance and risk in real time.

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Implementation

• AI Model Development: Created anomaly detection models trained on historical fraud and operational data.
• NLP Integration: Built multilingual sentiment analysis pipelines for feedback and reviews.
• Dashboard & Data Integration: Designed a secure, role-based dashboard connected to donor systems, beneficiary databases, and governance records.
• Pilot Testing: Conducted initial rollouts across select non-profits, refining algorithms based on real-world data.

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Result

• Fraud Detection: Identified and flagged 27% of beneficiary records as high-risk or duplicate.
• Donor Trust: Increased donor confidence with real-time, transparent trust scores.
• Decision Support: Enabled trustees to make smarter fund disbursement and operational planning decisions.

Conclusion

Trustometer equips non-profits with a powerful AI-driven framework for ensuring transparency, boosting donor trust, and reducing operational risks. By combining beneficiary verification, sentiment analysis, and governance scoring, it transforms the way charitable organizations manage trust and compliance, paving the way for more ethical and efficient operations.