Across my independent AI automation work, I’ve designed and documented n8n workflows for cybersecurity, legal, e-commerce, finance, and CRM. They combine AI-driven enrichment, decision-making, retrieval, and automated response actions.
I standardize these builds around a workflow from trigger and validation through retrieval, AI agent or RAG, decision, action, notification, and error handling. I use reusable prompt patterns and structured JSON outputs.
My selected workflows include an AI phishing detection system that classifies inbound emails and automatically isolates threats, with estimated detection-to-containment under one minute compared with 20–30 minutes manually. I also worked on invoice extraction and ledger entry, estimated to reduce manual data entry by about 85%.
I’ve published complete project packages on GitHub, including importable workflow JSON, screenshots, technical READMEs, setup instructions, and test evidence. Another workflow applies RAG to contract clause review and risk scoring, with an estimated 70% faster first-pass review.
