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.
The senior process engineer "knows" what to check. New hires don't. By the time a quality event is triaged, the batch is gone.
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.
Batch lookup, SPC reads, recipe data — each becomes a typed Custom HTTP tool.
VDF Data ingests PDFs and historical event archives into a per-line pgvector index.
Signal Correlator, Root-Cause Reasoner, Action Planner — each with a tight system prompt and audit-friendly output.
Intent template investigate-event drives the flow.
Real-time execution monitoring shows every retrieval and tool call. SEEMR keeps cost predictable.

time to first corrective action on quality events.
SOP citation coverage in CAPA records.
process data leaves your network.
Critical excursions reach your high-capability model; routine variance gets small models. SEEMR updates the cut every shift.
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.