PM AI Agent combines live process data, root cause findings, and your plant’s own institutional knowledge to answer production questions in plain language. It doesn’t replace your best operator, it gives every operator access to their knowledge, and for the first time, lets the process talk back.
AI² — Authentic Intelligence × Artificial Intelligence
PM AI Agent isn’t a substitute for operator expertise. It’s built from it. The formula is simple: Authentic Intelligence times Artificial Intelligence equals Applied Intelligence, the kind that actually shows up on the floor at 2am on third shift.
The knowledge that doesn’t show up in any manual.
Operator judgment, delivered on demand.
“Artificial intelligence without authentic intelligence is not really accurate. You have to have both.“— ProcessMiner CEO, on the AI² framework
A new kind of conversation
Traditionally, a manufacturing asset is silent until something breaks. PM AI Agent changes that: it doesn’t just answer questions, it can also tell you what it’s seeing, before you ask. That shift, from a system you query to a system that reports and clarifies, is what turns a piece of equipment into something closer to an intelligent collaborator on your floor.
When conditions drift outside the range your process should be running in, PM AI Agent can surface that on its own, not only when someone thinks to ask. See how it spots drift in Process Monitoring and traces it back in Root Cause Analysis.
A vague question gets a clarifying follow-up, the way a colleague would, instead of a best-guess answer.
No phone call, no waiting for the right person to be on shift. The answer, and now the flag, is instant, every shift, every time.
How PM AI Agent works
No dashboards to build, no reports to run. PM AI Agent answers production questions the way a knowledgeable colleague would, except it’s available on every shift, and it shows its work.
Type a plain-language question: “What caused the breaks on PM3 last shift?” PM AI Agent draws from three sources: live machine data, root cause analysis findings, and your plant’s own documents. The answer is specific and grounded, not a generic guess.
Ask it what happened
What caused the breaks on PM3 in the last shift? Top driver: refiner amp spikes (RCA), correlated with a wet-end pH drop. SOP-114 recommends holding pH at 6.8–7.2. Two prior breaks this month share the same signature.PM AI Agent is trained on your SOPs, equipment manuals, and downtime logs, not just general manufacturing knowledge. When it references a procedure, it references yours: the actual document number, the actual setpoint range your plant uses.
Your plant’s own documents
SOPs SOP-114 Equipment manuals Refiner unit 3 Downtime logs Shift log, PM3 YOUR DOCUMENTS, NOT GENERIC TEMPLATESYou control what PM AI Agent draws from. Choose document-only mode to search plant documentation, or data-only mode to query live process and RCA data. The customer sets the scope, not the model.
Query modes
Document-only Data-only
Common concern
Manufacturing is facing a knowledge cliff. As experienced operators retire, the intuitions and heuristics they’ve built over 20 or 30 years leave with them, and the industry is heading toward a significant operator shortfall by 2030.
PM AI Agent doesn’t generate new knowledge. It captures and preserves what your best people already know, so it doesn’t disappear when they do. The best operators on your floor typically love it first, because it’s their own judgment being made available to every shift, not a system second-guessing them.
Knowledge cliff
30-yr operator Retires: knowledge leaves Captured by PM AI Agent Every shiftNot a chatbot
PM AI Agent is grounded in live process data, root cause findings, and your own plant documents, not general internet knowledge. That distinction matters when the answer informs a decision on the floor.
PM AI Agent draws primarily from your plant’s own data and documents: real-time machine data and root cause analysis outputs, and unstructured plant knowledge such as SOPs, downtime codes, and equipment manuals. General manufacturing knowledge supplements those sources where relevant; it doesn’t replace them.
A general-purpose chatbot answers from whatever it was trained on across the web. PM AI Agent answers from your process, your RCA findings, and your documents, so a question about PM3 gets an answer about PM3, not a generic manufacturing answer that happens to sound plausible.
PM AI Agent runs leading AI models over your data, on your terms, with no data leaving your environment. That’s what “physical AI” means here: AI applied to your actual manufacturing process, using your actual sensor and process data.
Your data, your infrastructure
PM AI Agent is built for plants where data governance isn’t optional. Every answer is generated inside your environment, under your access controls.
PM AI Agent runs leading AI models over your data, on your terms, with no data leaving your environment. Your process data does not train external models.
For sites that require it, PM AI Agent can run entirely on-premises, on a single server inside your network. Nothing leaves your firewall.
Two query modes mean you decide what PM AI Agent can see: document-only or data-only. Nothing is exposed by default. Want to see how PM AI Agent grounds its answers in root cause findings? See how RCA works.
At a glance
Put it on your data
Start a pilot and ask PM AI Agent real questions about your process, grounded in your own SOPs, RCA findings, and live data, not a demo script.
Grounded in your data, not the internet. No data leaves your environment.
Questions, answered
Get in touch
Whether it’s PM AI Agent, your process, or a pilot you’d like to see in action, let us know.