Manufacturing & ERP · AI Agents & Automation
AI agents for manufacturing
Multi-agent ops · shift briefing · predictive maintenance · 8–12 weeks.
Manufacturing is where multi-agent systems land hardest. One agent per role you'd hire. Mirror the org chart. Humans on the trigger, agents on the watch. Our Multi-Agent Manufacturing case study is the production example.
Signals you're a fit
- Plant data is rich but siloed across SCADA, ERP, MES, operator log sheets
- Reactive maintenance — supervisors scramble after machines go down
- Shift handoffs lose context every 8 hours
What we'd build
Phase 1
Multi-agent ops monitor
Production · maintenance · quality · inventory · energy · briefing. Coordinating through a shared event bus. WhatsApp routing.
Phase 2
Predictive maintenance + downtime prediction
LightGBM over SCADA/IoT telemetry. Retrained weekly. Alerts before downtime.
Phase 3
Shift briefing agent (lowest-risk first build)
One-page situation report at every shift handoff. The easiest entry-point agent. Often the wedge into multi-agent.
Timeline + budget
Timeline
8–12 weeks for multi-agent · 4–6 weeks for shift briefing only
Budget envelope
$50–150K Fixed-fee Sprint · retainer for ongoing model retraining
Final scope and price quoted on a discovery call. Numbers above are the typical range — yours could be lower or higher.
Talk this through with a human.
20 min. No deck. We'll tell you honestly whether this pattern fits your situation.
