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.

Hey everyone, Today I actually took a step forward and built my own Voice AI Agent platform which can directly do outbound calls. The idea came up randomly while I was on a Google Meet call with a friend, and instead of overthinking it, I decided to just try building it. In around 3 hours, I managed to set up a basic voice AI agent. It can even make outbound calls, which honestly surprised me a bit. What really stood out was the cost. A 2-minute call costs me around 2.5 cents, which feels crazy when I compare it to tools like Retell that were costing me around 7 cents per minute. It’s still very early and definitely needs improvements and more features, but it already feels fun and promising to build. I haven’t deployed it yet, but I’m planning to keep improving it.