video1.0<iframe src="https://www.loom.com/embed/d99321ec95a74461a4aac237984da6b5" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d99321ec95a74461a4aac237984da6b5-563e1238402993fc.gif167.528This Loom explains how CashSense AI prevents small businesses from failing due to cash flow problems. The creator, a restaurant owner, uploads a 4-month bank statement and runs the system, where 5 AI agents identify an underwater cash situation: January shows 1.4 lakhs profit, February 35,000, and April 1.37 lakhs, with total income 9.4 lakhs and expenses 9.6 lakhs. The prediction agent forecasts cash shortfalls 60 and 90 days ahead, reaching minus 1.45 lakhs in 60 days and minus 2.15 lakhs in 90 days. When crisis alerts trigger automatically, an action agent sends a payment reminder and helps avoid nearly 1 lakh in cash reserve withdrawal, with all transactions and predictions stored in MongoDB.