When a plant manager asks "Why did OEE drop today?" — the answer is buried across six systems. PLC event logs hold the stop timestamps. MES holds the work order and changeover records. The historian holds the sensor readings. The CMMS holds the maintenance history. And a human analyst needs 45–90 minutes to cross-reference all four before they can even form a hypothesis. iFactory's agentic AI agent answers that question in under 90 seconds — autonomously querying PLC faults, MES events, maintenance logs, and historian data, reasoning across the evidence, and delivering a root-cause hypothesis with citations. Then it drafts the work order before the technician arrives. Ships pre-configured on NVIDIA GB300, deployed by our engineers, owned by you outright. Get a quote and see a live RCA run — proposal within 5 business days.
Agentic AI Agent for Downtime
Root-Cause Analysis
Llama 3.1 70B + tool use + RAG. Autonomously queries PLC, MES, historian, and CMMS. Delivers root-cause hypothesis with evidence chain in under 90 seconds. Drafts SAP work order before the technician arrives. Shipped to your plant, deployed by our engineers, owned by you.
Manufacturing Is at the Inflection Point. Most Plants Are Still Behind It.
Deloitte predicts a fourfold increase in agentic AI adoption in manufacturing by 2026 — from 6% to 24%. The gap between early movers and the rest is widening now, not in three years. The plants closing it are deploying agentic AI on-premise, where their production data actually lives.
Predictive AI Tells You Something Will Fail. Agentic AI Tells You Why It Already Did.
These are complementary, not competing. PdM LSTM models predict failures 30–90 days ahead. The agentic RCA agent handles what happens after a stop has already occurred — when the line is down and a plant manager is standing at the HMI asking "what happened?"
The Agent Doesn't Wait to Be Told What to Look At
When a plant manager asks "Why did OEE drop?" the Llama 3.1 70B agent running on GB300 decomposes the question into a multi-step query plan, calls four tools in sequence, cross-references the results, and synthesizes a cited root-cause narrative — without a single human instruction in between. Schedule a live RCA demo — we'll run it against your actual shift data.
Evidence chain:
[1] PLC: 47-min E-Stop triggered at 09:14 by Robot 4 safety interlock
[2] Historian: vibration spike 4.2x baseline at 09:13:47 — bearing fault signature confirmed
[3] CMMS: PdM alert for same asset raised 19 days ago — not actioned beyond "monitor"
[4] CMMS: bearing overdue for replacement by 2 months per OEM interval
Contributing factor: The PdM alert raised 19 days ago was not converted to a work order. This stop was preventable. Remaining OEE loss today (12 min conveyor jam) is unrelated — likely operator error at feeder station.
Recommended actions: 1) Replace Robot 4 bearing this shift if possible, or next planned window. 2) Enforce hard-stop policy on Stage 2 PdM alerts — "monitor" disposition should require sign-off.
The Full Conversation — From Question to Work Order in 90 Seconds
The agent doesn't just answer — it acts. After delivering the root cause, it drafts the SAP work order, identifies the parts needed, flags the process gap that allowed the stop to happen, and proposes a corrective action. All in the same conversation. Ask our support team how the agent handles your specific PLC dialect and CMMS platform.
The 12-minute conveyor jam at 11:02 is a separate event — operator-reported feeder alignment issue, not related to the bearing.
OEE impact breakdown: Availability loss = 61 min (59 min attributable to the preventable bearing stop). Performance and Quality components were normal.
This RCA and work order sequence took 87 seconds from your first question. The same investigation without the agent: 45–90 minutes across six dashboards, two phone calls, and a manual SAP login. Every data point queried and every record created stayed inside your plant network. Zero data left the fence.
How the Agent Reasons Across Four Systems Simultaneously
The iFactory agentic RCA agent uses Llama 3.1 70B running on the on-site GB300 node — not a cloud API. It has tool-use capability built in, meaning it can invoke any of its four plant connectors mid-conversation, interpret the results, and chain additional queries based on what it finds. No pre-scripted flows. No if-then rules. Genuine autonomous reasoning on your plant data.
45–90 Minutes Manual vs 87 Seconds Agentic
The financial case for agentic RCA is simple: the line is already down, and every minute the root cause is unknown is a minute the repair can't begin. Cutting investigation time from 60 minutes to 87 seconds is the equivalent of recovering 59+ minutes of production time per downtime event. Get a line-specific ROI estimate built around your downtime frequency and cost per hour.
From PO to Live Agentic RCA in 12 Weeks
iFactory ships a pre-configured GB300 server with Llama 3.1 70B and all four connector tools pre-loaded. Our engineers connect the agent to your PLC, MES, historian, and CMMS — anywhere in the US, EU, India, or APAC. You provide power and an internet uplink. The agent starts taking questions.
PLC dialect, MES platform, historian tag structure, CMMS version. Fixed-price proposal within 5 business days.
GB300 assembled. Llama 3.1 70B loaded. PLC, MES, historian, and CMMS connectors configured. RAG knowledge base seeded with OEM manuals and SOPs.
Server installed on-site. All four tool connectors tested live against your plant systems. Agent runs shadow RCA on historical downtime events for validation.
Agent live. Operators and managers trained. You own the GB300, Llama 3.1 70B weights, RAG knowledge base, and all tool connectors — outright.
What Plants Ask Before Deploying Agentic AI
No. All four tool connectors — PLC, MES, historian, CMMS — run over your plant network (OPC-UA, REST, RFC). The agent queries them entirely on-premise. The internet uplink we require is for remote support and model updates only, and it is firewalled and audit-logged.
Siemens, Rockwell, ABB, Mitsubishi for PLC/SCADA. SAP PP, Tulip, Plex, Infor for MES. OSIsoft PI, Ignition, AspenTech for historian. SAP PM, IBM Maximo for CMMS. Tell support your stack and we confirm connector availability before quoting.
By default, the agent recommends and drafts — it does not release work orders, change setpoints, or trigger SAP actions without explicit human approval. This is configurable. Some customers enable auto-release for low-risk corrective work orders under a defined cost threshold. Discuss the autonomy model with our team during the scoping call.
The agent falls back to the RAG knowledge base — OEM manuals, SOPs, and historical failure patterns — and flags uncertainty in its answer with a confidence statement. It will also recommend additional investigation steps and can be prompted to search specific data sources. It never fabricates an answer without citing its evidence.
Get a Fixed-Price Quote. Or Join the May 13 Webinar.
Send us your PLC dialect, MES platform, historian system, and CMMS version. We return a written proposal — GB300 hardware, Llama 3.1 70B, four tool connectors, on-site deployment, operator training, year-one support — within 5 business days.
