AI agents · Chicago, IL
AI agents for Chicago freight — built by people who run freight software
Chicago logistics runs on documents and phone calls: rate cons, PODs, carrier check-ins, status requests at all hours. We build AI agents that process the documents, answer the routine calls, and keep shippers informed — built by the team running a real cross-border TMS.
Agents that speak logistics natively
Most AI vendors need a semester of education before they can help a freight company. We run one. Our TMS processes cross-border loads daily — so when we build a document agent that reads rate confirmations, it knows accessorials, detention and lumper receipts aren't typos. When we build a carrier-communication agent, it knows what a dispatcher actually needs from a driver check-in.
The deployments that pay fastest in Chicago: the document agent that extracts data from rate cons, PODs and invoices straight into your TMS; the shipper-facing status agent that answers "where's my load" without touching your ops team; and the after-hours coverage agent that qualifies inbound shipper inquiries at 11 p.m. instead of losing them to whoever answers first tomorrow.
- Document agents: rate cons, PODs, invoices → structured data in your TMS
- Load-status agents that answer shippers from live tracking data
- Carrier communication agents: check-ins, document collection, onboarding
- After-hours sales agents that qualify inbound freight inquiries
- Invoice-audit agents that flag accessorial mismatches
- Reporting agents that build the morning ops summary overnight
Guardrails an ops team can trust
Operations people are right to be skeptical of AI that acts alone. Our agents are built on a propose-then-act ladder: they draft, a human approves, and autonomy expands only where accuracy has proven out. Every action is logged; every customer-facing message follows templates you approved; anything unusual routes to a human with full context.
We deploy into your environment where required, don't train shared models on your freight data, and price the way Chicago likes it: a fixed build cost and a monthly run cost you can pencil against the headcount or overtime it replaces. USD invoices, W-8BEN, one hour of time-zone offset — Central Time mornings are our mornings.
How a deployment goes
We start with your documents and call logs — the real ones, OCR errors and all. Week one maps the workflow and picks the first agent. Weeks two through five build, train and shadow-run against your live traffic. Then supervised go-live: the agent works, your team watches every action, and trust is earned on evidence.
The pattern we see in freight: the document agent pays for itself in the first month (data-entry hours are the easiest ROI in the industry), and the savings fund the next two agents. Within a quarter the operation runs leaner, the shippers get instant answers, and the ops team does judgment work instead of typing.
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AI Agents in Chicago — common questions
Yes — including scanned, OCR-mangled, multi-layout rate cons. We test against your real documents before go-live and show you extraction accuracy numbers, not promises. Low-confidence extractions route to a human review queue.
Document agents typically run US$10k–18k to build with monthly run costs of US$400–1,200 depending on volume. Most mid-size operations see payback in the first one to two months from eliminated data entry alone.
That's our home turf — we build TMS software ourselves. We integrate via API, EDI, email parsing or database, whatever your platform honestly supports. If your TMS has no API, we've solved that before too.
The autonomy ladder: agents start as drafters with human approval, and earn write-access only on workflows where their accuracy has been measured. Financially significant actions keep human confirmation permanently. Everything is logged and reversible.
Those vendors sell seats and roadmaps; we build the agent around your operation in five weeks. We also run freight software ourselves — you're buying from operators, and the difference shows in the first discovery call.
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