Automated Bank SMS Alerts Sent to Telegram with AI Processing

This n8n workflow automates the process of handling bank SMS alerts, applying AI-driven analysis, and alerting via Telegram. The workflow begins with a webhook trigger that receives SMS data, then splits the text and processes it for embeddings. These embeddings are stored in a vector database (Supabase), enabling retrieval of relevant data. An AI language model, integrated with Langchain, uses this data to interpret alerts and generate responses or insights. The workflow logs all activities into a Google Sheet. If an error occurs at any step, a Slack notification alerts an administrator. This system is useful for financial institutions or individuals who want real-time monitoring and intelligent response to banking alerts, enhancing security and awareness.