The pitch deck all sounds the same: “AI for maintenance.” Underneath it, the products are very different — some read your machines, some only read your PDFs, and some are a chat box bolted onto software you already own. Choosing wrong costs you a year and a floor full of technicians who tried it once and never opened it again.
This guide is the checklist we would use if we were buying: the capabilities that matter, the questions that separate vendors, and how to run an evaluation that predicts what happens on your floor — not in a sales call.
What is an AI maintenance agent?
An AI maintenance agent is a tool that takes action on equipment problems in real time — reading the machine’s state, its logic, and its documentation, then guiding the person at the machine to the resolution. A chatbot answers questions; an agent acts. The full comparison against CMMS chat and generic agents draws the category lines; this guide assumes you want one and covers how to pick well.
What capabilities should an AI maintenance agent have?
Judge every candidate against five jobs. This is the capability list Jack is built around:
- Jack handles troubleshooting. Keeping your line running when it matters most.
- Jack dispatches expert answers to every technician, day one.
- Jack captures tribal knowledge before it walks out the door.
- Jack reads and writes PLC code.
- Jack drafts work orders, PMs, and training docs.
Whatever the vendor’s name for them, insist on all five. An agent that cannot read PLC logic is blind to the machine. A agent that does not capture knowledge as fixes happen leaves your biggest risk — retiring expertise — exactly where it was. And an agent that cannot draft the paperwork hands your technicians a second job instead of taking one away.
AI maintenance agent vs. CMMS chat vs. generic chatbot
The fastest way to place a vendor is to ask what their product actually reads.
| Dimension | AI maintenance agent | CMMS chat | Generic AI chatbot |
|---|---|---|---|
| Reads live faults | Yes — fault plus the logic behind it | No — records only | No |
| Reads PLC code | Yes, your programs and tags | No | No |
| Knowledge capture | Automatic, per fix | Manual entries | None |
| Source of answers | Your machines, docs, and history | The CMMS database | Your uploaded documents |
| Output | A guided fix at the machine | A faster query | A summary with sources |
| Role of your CMMS | System of record, kept | Is the CMMS | Not connected |
All three rows of tooling are useful. Only one of them answers “the line is down — what do I do right now?”
What questions should I ask a vendor?
Five questions expose most of the differences:
- “Show me a live PLC fault, not a document search.” If every demo is a question answered from a PDF, the product is a document chatbot.
- “What happens to my CMMS?” The right answer is that it stays the system of record and the agent reads from and writes back to it.
- “Where does a captured fix go?” You want each resolution recorded in context and searchable by the next technician — not lost in a chat history.
- “Who reviews a proposed PLC change?” The right answer is a qualified person, every time. A vendor casual about this is casual about your safety circuits.
- “How does this land with technicians?” The product only works if the floor uses it. Look for augmentation — expert guidance alongside your team — not language about running maintenance with fewer people.
How should I run the evaluation?
Skip the slideware bake-off. Run the real test:
- Pick your worst line — the one with the machine only one person can fix.
- Bring a real fault, one your crew has actually chased recently.
- Let a junior technician drive. The agent’s value is what it does for the least experienced person on shift, not the controls engineer.
- Judge the answer like a veteran would. Did it trace the actual cause on your equipment, or recite the manual’s fault-class boilerplate?
- Check what got captured. After the fix, the problem, cause, and resolution should already be recorded — without anyone writing it up.
How fast should deployment be?
Weeks, not quarters. An agent sits on top of the systems you already run, so there is nothing to rip out: Metis deploys on site, ingests your PLC programs, documentation, and CMMS history, and is live in weeks with results in 30 days. Treat a long integration roadmap as a red flag — it usually means the product needs your data reshaped before it can do its job.
The bar for this purchase is simple to state: on the shift when the veteran is not there and the line is down, does the technician standing at the machine get the expert answer? Hold every vendor to that sentence — and when you want to see Jack measured against it, book a demo and bring your toughest fault.