A manufacturer near O'Hare tracking purchase orders across three disconnected systems, a freight brokerage in the Loop reconciling carrier invoices by hand, and a commodities trading desk near the Merc settling trades on spreadsheets all hit the same ceiling: the paperwork can't keep pace with the volume. Zethic's AI Workflow Automation Services US practice replaces that layer in Chicago with agents, document pipelines, and integrations, built by senior engineers who transfer full ownership once the system is live.
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80+
Workflows Automated
60+
Engineers In-House
96%
Client Retention
Three starting points, read against how Chicago's industrial economy runs.
What we automate, in Chicago.
Zethic designs and operates AI Workflow Automation Services in Chicago for teams anywhere between a single manual bottleneck and a connected, multi-agent platform.
A structured review of process, integration complexity, and realistic ROI.
Process reviewIntegration auditROI assessmentDiscovery-first
A structured review of your current process, integration complexity, and realistic ROI, using the discovery approach behind our AI consulting and audit services, before any build commitment.
AI classification for POs and accessorial disputes bots cannot read.
AI classificationPurchase ordersCarrier invoicesAccessorial disputes
AI classification combined with rule logic handles unstructured purchase orders, carrier invoices, and accessorial charge disputes that traditional bots common in Chicago's industrial firms cannot process reliably.
Agents that flag freight claims and recommend resolutions.
GuardrailsEval harnessesDecision logsSettlement flagging
Agents interpret settlement discrepancies, flag freight claims, and recommend resolutions across multi-step workflows, shipped with guardrails, eval harnesses, and full decision logs.
Structured data with confidence scoring on the uncertain cases.
Vendor invoicesBills of ladingTrade settlementsConfidence scoring
Extraction and validation pipelines turn vendor invoices, bills of lading, and trade settlement documents into structured data, with confidence scoring for cases needing a human look.
ERP, TMS and trading connectors with resilient error handling.
ERP & TMSTrading platformsResilient error handlingSchema validation
We connect ERP, transportation management systems, and trading platforms with resilient error handling, an approach detailed further in our data engineering services.
Scheduled pipelines instead of a spreadsheet rebuilt every week.
Production reportsFreight performanceDashboardsEnds weekly rebuilds
Scheduled pipelines replace manually assembled production and freight performance reports, pushing results to a dashboard instead of a spreadsheet rebuilt every week.
Sequenced by what's actually costing the most today.Every engagement starts with the process draining the most hours from your team right now.
A closer look, at what gets automated first.
Manufacturing, logistics, and commodities trading each carry a different document burden, but the underlying engineering approach stays consistent across every build.
Replace the three-system reconciliation with one clean pipeline.
Extraction, validation, and three-way matching across high-volume purchase orders, with exception routing for genuine mismatches rather than a full manual review.
Document collection, compliance checks, and ERP provisioning handled end-to-end instead of over a scattered email thread.
OCR and classification pipelines that turn supplier quality reports and inspection certificates into structured, validated data.
Where shipments, claims, and settlements actually clear.
Extraction and classification of carrier invoices and accessorial charges, with exception routing for genuine disputes rather than blanket manual audits, close to our transportation management software development work.
Agents that flag settlement discrepancies and recommend resolutions for commodities and financial trading desks near the Merc.
Order capture, fulfilment triggers, and reconciliation automated across systems so distribution operations stop depending on manual data entry.
What shippers, carriers, and clients actually interact with.
Agentic classification of inbound freight queries by intent and urgency, routed to the right desk within seconds.
Scheduled data extraction and submission with a full audit trail for manufacturing and trading workflows, the same pipeline discipline behind AI-era logistics: supply chain in production.
Automated pipelines that push on-time delivery and claims data to a live dashboard instead of a report assembled by hand each week.
Who we serve in Chicago.
Why teams pick us in Chicago.
Understanding how a purchase order, freight claim, or trade settlement actually moves through your organization means the architecture we propose fits your real volume, not an assumed one.
Workflow definitions, integration credentials, and cloud infrastructure remain inside your own systems, never locked into a platform only we control, so your Chicago team can operate it independently after handover.
A system that misreads a freight invoice or misroutes a settlement discrepancy is a real cost, not a minor inconvenience. We benchmark accuracy against your actual data before anything reaches production.
The engineers who scope your workflow during the assessment call are the same people writing the code, so a claim of senior delivery holds up at every sprint review.
A four-part path from first call to live system. A ranked target list, working demos, and benchmarked accuracy before go-live.
Book a Call{ 01 }· 4-8 weeks total
We trace inputs, decision points, exception paths, and integration touchpoints across your Chicago operation, then deliver a ranked target list and a realistic delivery scope.
{ 02 }· 2-week sprints
Extraction pipelines, agent logic, connectors, and monitoring get built in two-week sprints, with a working demo shown in a staging environment that mirrors actual production systems.
{ 03 }· Pre-launch
We test the system against your real invoices, freight documents, or settlement records, measure results against agreed benchmarks, and resolve edge cases with your team before go-live.
{ 04 }· Post-launch
A staged rollout with real-time monitoring and an on-call handover, followed by ongoing tuning of models and routing logic based on live signals from your Chicago operations.
Engagement models, built to fit.
A single workflow build is generally priced as a fixed scope for a four-to-eight-week delivery window, quoted after a short assessment call rather than before we understand your document volume.
A single workflow scoped after a short assessment call and delivered as a fixed price within four to eight weeks, with a working demo every two weeks.
An embedded senior pod for manufacturing, logistics, and trading teams that keeps building as plant count, shipment volume, or trade volume grows — no rebuild between phases.
Questions, answered.
Yes. Purchase order matching, freight billing automation, and quality report processing are a regular part of our AI process automation in Chicago engagements with manufacturing and logistics clients.
Yes. TMS platforms, SAP, and other plant or freight systems common across Chicago are integrated with proper error handling and schema validation rather than a fragile point-to-point script.
A single workflow typically reaches production in four to eight weeks from the first assessment call, with a working demo every two weeks so progress stays visible.
Yes. SOC 2 posture, audit trails, and PII handling are built into the architecture from the first sprint, a standard expectation for an AI Workflow Automation Company in Chicago working with regulated trading desks.
Yes. We run initial assessment sessions on-site for Chicago clients on request, then move to remote sprint delivery with weekly demos for the build phase.
A single workflow build is generally priced as a fixed scope for a four-to-eight-week delivery window, quoted after a short assessment call rather than before we understand your document volume.
Yes. Multi-carrier freight billing and accessorial dispute workflows, common across Chicago's logistics and brokerage firms, are handled with configurable rule sets and full audit trails.
Yes. A meaningful share of our Chicago clients are manufacturers automating purchase order matching, vendor onboarding, and quality reporting across multiple plant locations, part of the same discipline behind our broader AI and Digital Solutions work in industrial operations.
Start with the process draining the most hours from your team right now. Book a short assessment call and leave with a ranked automation target list and a realistic timeline.
Book a Call
A short assessment call to map your process, systems, and compliance needs — no blind quoting.
Get Your Roadmap
You leave with a ranked automation target list and a realistic delivery scope.
Ship the First Workflow
A working first workflow live inside about six weeks, with demos every two weeks.
Start with the process draining the most hours from your team right now. Book a short assessment call and leave with a ranked automation target list and a realistic timeline.
