Production use cases. Not demos.
Every use case below is a job an AI employee already runs in production for someone. Pick the one closest to your bottleneck.
Supplier management
AI employee that interfaces with your suppliers end-to-end: confirms POs, chases late shipments, surfaces price drift, escalates blocked orders. Lives in email and WhatsApp where supplier comms actually happen.
Purchase order automation
Outbound POs drafted from inventory signals or production needs, sent to the right vendor, then verified against the supplier's confirmation: line-item match, price match, lead-time match, exception-routed.
Inventory reordering
AI employee monitors stock levels across SKUs, predicts depletion against lead-time and demand variance, drafts purchase orders to the right supplier, and routes for human approval — or fires under hard rules when limits are clear.
Production scheduling
AI employee for shop-floor planning: balances work orders against capacity, materials, and labor, replans on disruption, surfaces conflicts before they become downtime. Built on real production data.
Workstation scheduling
Granular scheduling per workstation, machine, or operator. Reads the current queue, the operator skill matrix, the machine availability, and assigns next-best work in real time as upstream changes propagate.
B2B outreach
Voice-mirrored AI SDR researching buyers, drafting personalized outreach, following up on cadence. Mines unused lead lists, filters by fit, books meetings for your sales team. 24/7 pipeline without hiring.
Document processing
Read PDFs, scans, contracts, invoices, bills of lading. Extract structured data, validate against rules, post to the system of record. Built for the document volume that manufacturing and logistics generates.
Process to workflow
Take a process your team runs in a doc, a spreadsheet, or their head — and turn it into a closed-loop AI workflow. We extract the rules, design the escalation paths, and ship the agent that owns it.
Documentation maintenance
AI employee that keeps your SOPs, runbooks, and internal docs current as systems change. Reads the work being done, drafts the doc updates, routes for sign-off. Docs stop drifting.
Shipment tracking
AI employee monitors shipments across carriers, flags delays, updates ETAs, coordinates with warehouses, and alerts downstream teams. Full visibility without manual tracking.
Quality control
AI employee reads QC reports, logs defects, identifies recurring patterns across batches, and surfaces root cause candidates. Turns inspection data into actionable intelligence instead of filed paperwork.
Market intelligence
Track competitor pricing, product launches, hiring, and positioning. Distilled into a weekly briefing aimed at your strategy, not raw alerts. Know what the market is doing while you run the plant.