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Friend working at medical group processing 150 prior authorization requests monthly. Each taking 2-3 hours manually. Asked for help building automation. Started with personal assistant agent template. Modified for healthcare workflows. Gmail trigger watching authorization request emails. Document extraction pulling patient info, insurance details, procedure codes, diagnosis codes. Validation checking coverage active, documentation complete. Google Sheets logging. Slack notifications. Deployed. Working great for 4 months. Processing time dropped from 2 hours to 15 minutes per request. Then patient complaints escalated. THE PROBLEM: Three emergency authorization requests delayed 48 hours in standard approval queue. Patients needed urgent procedures (emergency surgery, critical imaging, immediate specialist care). Request documents clearly marked "EMERGENCY" with urgent procedure dates. n8n workflow extracted emergency flags correctly at 94% confidence using document extraction node. Never routed differently. All requests went through same 24-48 hour approval path. One patient condition worsened during delay requiring additional intervention. THE FIX: Added emergency triage BEFORE standard validation workflow. Built IF node immediately after document extraction checking for emergency indicators: IF emergency flag = true → Fast-track path (5 minute approval) IF procedure date = today or tomorrow → Fast-track path IF urgency level = "urgent" or "emergency" → Fast-track path ELSE → Standard validation workflow (24 hour review) Fast-track path: - Auto-approve immediately - Slack alert to medical director channel - Google Sheets row marked "EMERGENCY" - Skip documentation review queue Standard path continues existing workflow (coverage validation, documentation checks, cost thresholds, peer review routing). RESULT: Tested triage logic against 600 historical requests. Identified 89% of urgent cases that should have been fast-tracked. Reprocessed 4 months of data. Found 17 additional emergency cases delayed.