Chicago insurance brokers still re-key applications from agent PDFs into carrier portals — 11 minutes per quote, dozens per day.
Illinois · AI Automation Services
Workflow engineering for Chicago insurance brokers, Illinois manufacturers, and Midwest logistics operators.
Chicago insurance brokers still re-key applications from agent PDFs into carrier portals — 11 minutes per quote, dozens per day.
Illinois manufacturers run MRP systems from 2008 that cannot talk to Shopify, QuickBooks, or modern SRM platforms.
Midwest logistics dispatchers juggle TMS + ELD + email + phone with no unified load board or driver comms hub.
Client snapshot
A Chicago commercial insurance broker was re-keying ACORD forms into three carrier portals for every quote. I built an n8n + GPT-4o vision pipeline that reads the ACORD PDF, normalises the data, and posts structured JSON to each carrier API. A 22-minute task became 90 seconds.
Who builds it: Waseem Nasir — AI automation engineer, digital nomad from Pakistan, based in Bali/ASEAN, serving global clients.
Yes — GPT-4o vision and Claude Opus both parse ACORD 25, 125, and 140 forms with high accuracy. I pair the LLM pass with a deterministic validator to catch hallucinated fields before anything reaches a carrier API. Human review stays in the loop for edge cases.
Most legacy MRP systems export flat files or expose ODBC. I wrap them in an n8n middleware layer that translates to JSON APIs, so Shopify, QuickBooks, and newer SRMs see a modern interface without touching the shop-floor system.
Load-board scraping plus automated rate comparison usually pays for itself in 30 days. Dispatchers stop pogo-sticking between DAT, Truckstop, and email — the system surfaces the three best loads per driver per hour.
I run on Bali time (UTC+8), which is 13 hours ahead of Chicago. I deliver overnight so Illinois clients get progress while they sleep. Live calls happen in their morning, my evening — comfortable on both sides.
30-minute discovery call. No pitch deck. I map your current workflow, identify the highest-leverage automation targets, and tell you whether it makes sense to work together.