PLAYBOOK · MANUFACTURING

A quality copilot that speaks MES, ERP, and SOPs.

When a quality event fires on the line, the answer lives in three places: MES sensor history, ERP batch data, and a binder of SOPs. This playbook wires all three into one VDF AI Network and recommends corrective actions in seconds.

A quality event on the line is a search problem with a fifteen-minute clock. MES sensor history, ERP batch data, and a binder of SOPs all hold part of the answer. VDF AI gathers them into one Quality Copilot Network that proposes corrective actions in seconds, with citations to the SOPs that drove them.

MES APIsERP APIsSOP RAGSEEMR
Network Labs for manufacturing quality
The problem

Tribal knowledge slows root cause

The senior process engineer "knows" what to check. New hires don't. By the time a quality event is triaged, the batch is gone.

The VDF AI approach

Codify tribal knowledge as agents and SOP RAG

MES and ERP become Custom HTTP tools. SOPs go into pgvector. A Quality Copilot Network correlates them and emits a ranked list of likely causes plus corrective actions.

WHY THIS MATTERS NOW

Process knowledge is locked in heads — until it isn't

Manufacturing operations are uniquely vulnerable to tribal knowledge loss. A senior engineer retires; with them goes the answer to "why did we set the cure temperature there in 2017?". Standard SOPs cover the routine; the senior engineer covers everything else.

VDF AI codifies that senior knowledge as agents and indexed SOPs. The Quality Copilot Network correlates current sensor data with historical excursions, retrieves the relevant CAPA, and proposes a ranked corrective action with confidence and risk.

A copilot that cites the SOP is a copilot that survives the next audit.
−40%
time to first corrective action on quality events.
+25%
SOP citation coverage in CAPA records.
0
process data leaves your network.
WHAT YOU NEED TO START

Prerequisites for a pilot

Systems
  • MES read endpoints (batch, SPC, recipe)
  • ERP read endpoints (orders, inventory)
  • Historical excursion archive
  • Optional: LIMS integration
Knowledge
  • SOPs (PDF or Markdown)
  • CAPAs by line and product
  • Equipment master
  • Quality KPIs and thresholds
People
  • One process engineer per line
  • One quality lead
  • One IT/OT integration owner
  • Optional: regulatory affairs SME
REFERENCE ARCHITECTURE

Signals + SOPs = corrective action

Quality event
MES alarm · SPC excursion
MES + ERP Tools
Custom HTTP
SOP & CAPA RAG
Signal Correlator
Root-Cause Reasoner
Action Planner
Quality Copilot Network
Ranked actions + SOP citations
PLAYBOOK · STEP BY STEP

Wire the shop floor to the model

1

Wrap MES & ERP endpoints

Batch lookup, SPC reads, recipe data — each becomes a typed Custom HTTP tool.

2

Vectorize SOPs, CAPAs, and prior excursions

VDF Data ingests PDFs and historical event archives into a per-line pgvector index.

3

Author the Quality Copilot agents

Signal Correlator, Root-Cause Reasoner, Action Planner — each with a tight system prompt and audit-friendly output.

4

Bind into one Network

Intent template investigate-event drives the flow.

5

Operate at line speed

Real-time execution monitoring shows every retrieval and tool call. SEEMR keeps cost predictable.

Quality copilot network monitoring
OUTCOMES

Faster fixes, captured knowledge

−40%

time to first corrective action on quality events.

+25%

SOP citation coverage in CAPA records.

0

process data leaves your network.

SEEMR REFERENCE

Routing by event severity

Critical excursions reach your high-capability model; routine variance gets small models. SEEMR updates the cut every shift.

FREQUENTLY ASKED QUESTIONS

What teams ask before shipping this playbook

How does it integrate with our MES?

Through Custom HTTP tools. Any MES with an API — Rockwell FT, GE Proficy, Wonderware, Tulip — can be wrapped and called.

Is there a real-time variant?

Yes. The Network can run on alarm events with sub-second latency for routine cases.

Can it draft the CAPA?

Yes. The Action Planner emits a CAPA draft with rationale, citations, and a roll-back path. Quality leads approve before filing.

How does it handle multi-plant operations?

One Domain per plant or business unit. Indexes are scoped; cross-plant insights are surfaced through Living Knowledge.

Will the model be validated for regulated production?

VDF AI exposes every model and prompt selection. The Accuracy Testing module supports validation protocols required by GxP-style frameworks.

How long does a pilot take?

Six to eight weeks including OT integration and golden-set validation.

VDF AI contact animation element - floating communication symbol VDF AI contact animation element - support symbol
VDF AI get in touch illustration - team ready to assist customers
GET IN TOUCH

You Have Questions

Tell us what you’re trying to achieve—governed AI Networks, enterprise RAG, deep integrations, or on‑premise deployment. We’ll help you map the right architecture, security posture, and rollout path. If you’re moving beyond AI pilots and need scalable, auditable execution, reach out—our team is ready to help.