Kishan Jadav
Trust-Driven AI in Crypto Compliance | UX & Product Case Study
Anti-Money Laundering
Monetary Authority of Singapore
FinCENCompliance
Project Details
Project Description
My Role
Overall Project Timeline
AI Agent Strategy & Orchestration
SAR Risk Triage Agent
AI Explainability & Trace Agent
Confidence Scoring Agent
Behavioral Nudge Orchestration Agent
Nudge-to-Action Routing Agent
Trust Score Aggregation Agent
Role-Based Intelligence Agent
Compliance Export Assembly Agent
Pilot Feedback Synthesis Agent
Behavioral Impact Measurement Agent
LLM Orchestration & Training
LinguaTrace-FT: Explainability & Trace model
TrustCal-FT: Confidence Scoring model
Project Details
Decision Log
Business Impact
Methods Used
Project Details
Key Learnings
Budget
More Hunting Stories
Redesigning AI Pricing in SaaS — Balancing User Trust, Compliance, and Business Growth
Data Privacy (GDPR / CCPA)
SEC & FTC Guidelines
AI Governance Frameworks
Behavioral AI in Fintech: Product Design & Management for Compliance and User Trust
FTC
CFPB
Behavioral UX
Ethical AI for Finance: UX & Product Management Aligned with MAS Sandbox and Global Compliance
MAS Sandbox
EU GDPR
Singapore Fintech Standards
