Uploaded September 2025 | Updated September 2026, 2 weeks ago
Join the next cohort and build something like what you see in this demo: https://www.ai.science/products-services/llm-agents-bootcamp
Get a 15% discount by using this promo code: AISC-YT
Bank transaction data is messy, inconsistent, and full of edge cases, making fraud detection, risk scoring, and customer behavior analysis hard. In this demo we introduce BankTx Clf, a multi-layer classifier that combines a low-latency text model, a company-metadata database, live web search, and an AI agent to map transactions into user-defined categories. Watch the workflow in action: a transaction triggers DB lookup, falls back to web search when needed, and the reasoning agent synthesizes results and enforces standardized category output via a code-node validator. Using a 30-transaction evaluation we iterated rapidly and improved accuracy from 33% to ~80% through prompt tuning, output formatting, and explicit rules for common edge cases.
#FinTech #BankingAI #TransactionClassification #FraudDetection #RiskModeling #GenAI #AgenticAI #AIAgents #AIBootcamp #learnai #BuildWithAI #MLForFinance #NLP #DataEngineering #AIWorkflow
Join the next cohort and build something like what you see in this demo: https://www.ai.science/products-services/llm-agents-bootcamp
Get a 15% discount by using this promo code: AISC-YT
Bank transaction data is messy, inconsistent, and full of edge cases, making fraud detection, risk scoring, and customer behavior analysis hard. In this demo we introduce BankTx Clf, a multi-layer classifier that combines a low-latency text model, a company-metadata database, live web search, and an AI agent to map transactions into user-defined categories. Watch the workflow in action: a transaction triggers DB lookup, falls back to web search when needed, and the reasoning agent synthesizes results and enforces standardized category output via a code-node validator. Using a 30-transaction evaluation we iterated rapidly and improved accuracy from 33% to ~80% through prompt tuning, output formatting, and explicit rules for common edge cases.
#FinTech #BankingAI #TransactionClassification #FraudDetection #RiskModeling #GenAI #AgenticAI #AIAgents #AIBootcamp #learnai #BuildWithAI #MLForFinance #NLP #DataEngineering #AIWorkflow
