Industry AI Automation
Manufacturing: production signals, quality holds, and maintenance in one loop
The MES knows the line; the business needs exceptions to surface.
We wire alerts from MES/SCADA, ERP, and QMS into actionable tasks—CAPA, maintenance, and supplier coordination.
Plants run continuous processes with thin buffers. When a machine faults, a quality hold lands, or a supplier shipment slips, the cost is downtime and missed customer commitments.
PrimeAxiom routes exceptions from shop floor events to the right engineers, maintenance techs, and planners with attached context—serial numbers, batch IDs, and last-known-good parameters. AI summarizes long logs for humans; it does not override safety interlocks.
You reduce mean time to repair, shorten quality holds, and give leadership a real-time view of operational risk.
Why this industry needs automation
Manufacturing improvement programs (Lean, Six Sigma) depend on fast feedback loops. Manual ticket routing slows root-cause analysis.
Supplier quality issues propagate. Without structured containment, suspect material may reach customers.
Maintenance is often reactive. Predictive signals exist in sensors but die in CSV exports.
Common bottlenecks
Exception routing latency
Operators page supervisors inconsistently; critical alarms look like noise in overloaded channels.
CAPA documentation drag
Regulated industries require evidence chains; slow documentation delays release from hold.
Maintenance planning chaos
Work orders compete without priority scoring; parts availability is not linked to scheduling.
Supplier acknowledgment gaps
ASNs and certificates do not match receipts—receiving stops while purchasing chases emails.
What we automate
Production exception alerts
Map PLC/MES alarms to severity tiers; page on-call roles with runbook links.
Quality hold workflows
Quarantine inventory, notify quality, and trigger containment actions across warehouses.
CAPA tasks and approvals
Structured 8D-style tasks with evidence attachments and due dates.
Maintenance work order orchestration
Prioritize by downtime risk; reserve parts; attach SOPs and safety permits.
Supplier deviation management
SCAR notifications with required responses and shipment holds until closure.
Executive production digests
Daily summaries of OEE, scrap, and top downtime reasons—without manual slide prep.
Example system flows
End-to-end chains from trigger to resolution—IDs, statuses, and owners stay explicit so nothing disappears in chat threads.
Alarm storm → dedupe → escalation
Debounce repeated alarms; escalate to maintenance if unresolved; open incident record for RCA.
[MES alarm]
→ [Dedupe window 30s]
→ [If persists → WO draft]
→ [Notify on-call rotation]
→ [If safety critical → E-stop audit log]
→ [RCA task if downtime > X]Quality hold → disposition → release
Hold lot; notify planner; disposition (rework/scrap/use-as-is) with approvals; update ERP inventory.
[Inspection fail]
→ [Lot hold]
→ [Containment broadcast]
→ [Disposition review]
→ [ERP inventory move]
→ [Customer notification if required]Supplier ASN mismatch → receiving stop
Receiving scan compares ASN to PO line; mismatch triggers purchasing workflow with supplier portal task.
[Receive scan]
→ [Compare ASN vs PO]
→ [If mismatch → hold location]
→ [Supplier ticket + SLA]
→ [Resolution → release receive]AI agents in this workflow
Agents are scoped automations with retrieval and policy guardrails—they propose, classify, and draft; humans approve exceptions and own compliance outcomes.
Alarm summarizer
Turns verbose PLC logs into short human explanations for shift handovers.
SOP retrieval agent
Pulls relevant procedures for maintenance tasks based on fault codes.
Supplier comms agent
Drafts SCAR responses with required fields—quality approves.
Integrations
- MES/SCADA historians and alarm systems.
- ERP (SAP, Oracle, NetSuite) for inventory and orders.
- QMS (TrackWise, ETQ) for CAPA and deviations.
- CMMS for maintenance.
- Supplier portals and EDI for ASNs.
- Slack/Teams for on-call paging.
Technical examples
Reference Node-style patterns—your production implementation uses your auth, idempotency store, and observability hooks.
Alarm dedupe
Collapse repeated alarms within a time window to reduce pager fatigue.
const recent = new Map();
export function shouldPage(alarmKey) {
const last = recent.get(alarmKey) ?? 0;
if (Date.now() - last < 30_000) return false;
recent.set(alarmKey, Date.now());
return true;
}Downtime bucketing
Classify downtime into Pareto buckets for daily review.
export function bucketReason(code) {
if (/^E\d+/.test(code)) return 'electrical';
if (/^M\d+/.test(code)) return 'mechanical';
return 'other';
}Lot hold safety check
Block release if CAPA tasks remain open.
export function canReleaseLot(lot) {
return lot.qualityTasks.every((t) => t.status === 'closed');
}Workflow diagrams
Containment broadcast
[Suspect lot identified] → [Search WIP + warehouse locations] → [Apply hold flags in ERP] → [Notify planners + customers if shipped] → [Disposition path]
Maintenance priority score
[WO created] → [Score = downtime_risk * impact + safety_weight] → [Sort technician queue] → [Parts reservation check] → [Schedule]
Outcomes clients care about
Less unplanned downtime
Faster routing and parts awareness.
Tighter quality
Containment and CAPA move faster with evidence.
Supplier accountability
Structured SCARs and SLAs.
Better planning
Exception queues visible to ops leadership.
Safer operations
Runbooks attached to alarms with audit trails.
Continuous improvement
Pareto data without analyst busywork.
FAQs
- Do you connect directly to PLCs?
- Usually via MES/historian layers for safety and segmentation; OT/IT boundaries are designed with your plant security team.
- Can this support ISO audits?
- Yes—CAPA workflows, approvals, and immutable logs support evidence requests.
- What about multi-site plants?
- Site-scoped routing rules and shared templates with local thresholds.
- Will this replace our CMMS?
- No—it orchestrates work orders and context across systems—CMMS remains your system of record.
See what this looks like in your operation
Book a workflow review: we map volume, revenue impact, error patterns, and team bottlenecks, then propose a phased automation plan tied to your stack.