Built a fully automated business process pipeline that eliminated manual data handling across 6 integrated systems. The workflow triggers on incoming webhooks or emails, uses GPT-4 to parse and extract structured data, normalizes it, pushes it to the client's CRM, generates a report, and fires a Slack/email notification — all in under 5 seconds. Result: 186 hours saved per month, error rate dropped from 7.4% to 0.3%.