01
Paper travels with every part
POs, certs of conformance, inspection reports, and packing slips — matched and filed by hand, and hunted down again every audit season.
/ AI Automation for Manufacturing
AI automation modernizes the paperwork surrounding production: purchase orders, quality documentation, maintenance logs, and supplier communication processed automatically, and decades of tribal knowledge made searchable for the next shift. Manufacturers typically start with document-heavy procurement and quality workflows, where ROI lands within a quarter.
/ The diagnosis
01
POs, certs of conformance, inspection reports, and packing slips — matched and filed by hand, and hunted down again every audit season.
02
The engineer who knows why line 3 drifts in humid weather is retiring next year, and the answer lives nowhere but in his head and a decade of maintenance logs nobody reads.
03
Order confirmations, delay notices, and price updates buried in inboxes — surfacing as production surprises instead of managed exceptions.
/ The playbook
Ranked roughly by how fast they pay back in this industry. Your audit will reorder them for your specific numbers.
01
POs, order confirmations, and invoices matched three-way automatically; discrepancies flagged with the exact field mismatch; clean transactions posted straight to your ERP.
via Back-Office →02
Manuals, maintenance history, and incident reports indexed into an assistant technicians query in plain language — 'line 3 drift in humidity' returns the fix, the history, and the engineer's original notes.
via Custom AI →03
Inspection data compiled into certs and compliance packs automatically; audit trails assembled in minutes instead of days of binder archaeology.
via Back-Office →04
Inbound supplier email classified and extracted: confirmations reconciled against POs, delay notices pushed to planning with impact flagged, price changes routed for approval.
via Workflow Automation →“A precision-components manufacturer we work with cut PO processing from 12 minutes to under 1 per order, and its new maintenance copilot resolved 68% of technician queries without escalating to senior engineers.”
Read the full case study →
/ Questions
Almost always. Where APIs don't exist we work through database connections, structured file exchange, or RPA as a last resort. Legacy ERP is the norm in manufacturing, not the exception — integration feasibility is confirmed in the audit.
We stay on the IT side of the Purdue line: documents, communication, knowledge, and planning workflows. We don't touch PLC/SCADA control systems — the ROI we chase is in the paperwork around production, not the production control itself.
Mostly from artifacts they've already produced: maintenance logs, incident write-ups, annotated manuals, email threads. Structured exit-interview capture can supplement it. The copilot then serves that knowledge with citations, so the next shift trusts what it reads.
The systems behind this playbook
/ Free AI audit
We map your workflows against this playbook, measure the hours, and hand you a prioritized roadmap with payback math. Free, and yours to keep.
No obligation · Roadmap is yours to keep