For Contract Manufacturers

When you build for ten customers, none of them should ever see another's data.

Contract manufacturing runs on multi-customer tenancy, shop-floor exceptions, yield variance you cannot let leak across walls, and RMA flow that requires PLM context. OpsATC.AI is built for that operating model from day one — architectural tenant isolation across every layer of the stack, MES integration via MCP, yield analytics on a per-tenant graph, and Major Tom briefed on each customer's PLM revision before he opens a ticket.

CUSTOMER A 01 02 03 YIELD 98.4% PLM rev 4.2 ISOLATED CUSTOMER B 01 02 03 YIELD 96.1% PLM rev 7.0 ISOLATED CUSTOMER C 01 02 03 YIELD 97.7% PLM rev 2.5 MAJOR TOM · per-tenant
Tenant isolation, first principle

Architecturally, one customer's view never crosses another's.

If you build for competing customers, tenant isolation is not a feature — it's a contract requirement, a liability boundary, and a sales argument. OpsATC.AI enforces it at every layer from day one.

Read the tenant-isolation architecture →

Your worst week

The five drains every CM operation faces.

DRAIN 01

Multi-customer chaos

Ten customers, ten work orders, ten engineering revisions, ten different definitions of "done." Your shop-floor leads track which customer's spec applies to which lot in spreadsheets and tribal knowledge. The cost of getting it wrong is a CAPA.

DRAIN 02

MES exception triage

Yield drops on Line 3. Test failures spike on a specific lot. The pattern is in the MES; the root cause may be in PLM (revision change), procurement (component substitution), or the WMS (handling). Today, that's a 90-minute meeting. Major Tom pre-correlates across systems.

DRAIN 03

RMA without context

A customer returns a unit. The RMA team needs the build record, the inspection results, the firmware version, the supplier-component traceability, and the PLM revision in effect when this unit was built. Today, six tabs and a phone call. Major Tom pulls the full context before the ticket opens.

DRAIN 04

QMS & CAPA cycles

Customer audits, internal CAPAs, supplier non-conformances — the data is in the QMS, but the closed-loop tracking is in someone's spreadsheet. Process Intelligence Engine watches the actual signal and tracks improvement closed-loop, with audit-grade evidence on demand.

DRAIN 05

New-customer ramp

Bringing a new customer onto your floor is months of EDI mapping, item master sync, BOM ingestion, customer-specific work-instruction setup, and quality-spec ingestion. The ramp tax is real margin. Major Tom orchestrates the onboarding both sides see, both sides drive.

Major Tom
THE LAYER

All five run on the same orchestration layer

Major Tom doesn't replace your shop-floor leads, your quality team, or your customer-program managers. He compresses the time from signal to decision — across all your customers, with hard tenant boundaries, with audit-grade logs ready for the next ISO audit.

What Major Tom does for CMs

Workflows built for the multi-customer floor.

Internal Ops · Multi-customer view, one switch

Operations Director sees the consolidated dashboard across all customers, with strategic KPIs and exception ranking. Shop-floor lead switches to the active customer's view in one click — same agent, fully scoped to that customer's data only. Tenant ID enforced at the prompt-construction layer, not just at retrieval.

MES Exception → PLM Cross-Reference

When yield drops or test failures spike, Major Tom pulls the relevant MES events, cross-references against the PLM revision history, surfaces any supplier-component changes from procurement, and drafts the engineering-change recommendation — all within minutes of the signal.

Service · RMA briefed before triage

RMA tickets land with the build record, the inspection results, the firmware version, the supplier-component lot, and the PLM revision in effect when the unit shipped — all auto-pulled, all cited. Field engineer arrives already briefed. The CAPA cycle starts from full context, not from "let me dig."

Process Intelligence · Yield-pattern detection

The engine is designed to watch the per-tenant yield stream continuously, identify the pattern (lot, line, shift, supplier), quantify the cost (rework, scrap, missed-OTIF risk), and track the intervention closed-loop. The architecture is set up so verified outcomes feed the next round of detection — accuracy gains are something each design partner will measure against their own baseline.

The systems you already run

Pre-built MCP connectors for the CM stack.

Including MES — the system most "AI ops platforms" cannot read because they were never built for the shop floor. OpsATC.AI is.

Manufacturing ExecutionShop-floor systems, yield, traceability

Siemens Opcenter
Aegis FactoryLogix
Critical Manufacturing

PLM & EngineeringRevision control, ECN, BOM

PTC Windchill
Siemens Teamcenter
Arena PLM

QMSQuality, CAPA, audit evidence

ETQ Reliance
MasterControl

ERP & PlanningWork orders, demand, supply

SAP S/4HANA
Oracle Fusion Cloud
Kinaxis Maestro
Blue Yonder Luminate

Field Service & RMAService operations

ServiceMax
Salesforce
ServiceNow

See the full integration catalog →

Bring your worst week. We'll walk through how it changes.

Thirty minutes, your live operational pain — a yield drop, an RMA cluster, a customer audit prep, a new-customer ramp. We'll walk through how the orchestration layer changes the response, the cycle time, and the cost. Written diagnosis within one business day.