ChatGPT can explain how a pump works. It can't tell you what happened to yours.
Your technicians are already using it, and they should be. This is about the four things that stop working the moment the question is about your equipment, your history, and your paperwork.
Who this is for
Teams whose technicians have already found ChatGPT on their own phones, and managers wondering whether that is enough.
Your technicians already use it
And there is no point pretending otherwise. ChatGPT is the most widely adopted assistant there has ever been, it reasons well across unfamiliar problems, it'll read a PDF you paste in, and custom GPTs let a team package prompts around a task. For explaining an unfamiliar concept, drafting an email or making sense of an error message in the abstract, it is genuinely excellent.
What changes when the question is about your kit
FieldPal answers from the service bulletins, technical instructions and completed jobs your organisation already holds, names the document it used, and does it hands-free while the technician is still at the machine. Then it writes the structured record (the actual job sheet or warranty claim) rather than producing text somebody retypes.
Head to head
On general capability the right-hand column is far ahead, and nothing here is an argument otherwise. The split is between general knowledge and your knowledge.
| Capability | FieldPal | ChatGPT |
|---|---|---|
| General reasoning and explanation | No | Extensive |
| Grounded in your bulletins and repair history | Yes | No |
| Source named for every answer | Yes | Varies |
| Reaches systems behind your firewall | Coming soon | Limited |
| Voice-first, hands-free at the machine | Yes | Partial |
| Head-mounted devices (RealWear) | Yes | No |
| Fills in a form at all | Yes | No |
| Auditable record of what was asked and answered | Yes | Limited |
The argument
The generic answer problem
Ask a general assistant about a fault on a specific machine and it will always have an answer. That’s the difficulty: it draws on everything ever written about that class of equipment and produces something fluent, plausible and unattributable.
Sometimes it is right. Sometimes it is right about a different variant, a different market, or a revision superseded three bulletins ago. From the technician’s side those two outcomes look identical, which is exactly the property you can’t tolerate when someone is deciding whether to open a high-voltage pack.
Your history is the part that matters, and it can’t see it
The most valuable answer on any given job is usually “we have had this before, and here is what actually fixed it”.
That knowledge lives in a DMS, a CMMS or a service platform behind your firewall. ChatGPT has no route to it. You can paste a document into a chat, but you can’t paste five years of completed jobs, and nobody is going to.
It can’t write the record
Whatever the answer, the job still has to be written up. A chat transcript is not a warranty claim, an inspection report or a job sheet. Producing text that a person then copies into the real form by hand is the task you were trying to remove, not a solution to it.
And underneath all of it, it still assumes a screen
Even setting the three problems above aside, ChatGPT assumes a screen and a free hand. Voice dictation into a phone isn’t the same as being answered while your hands stay where they are, on a device mounted to your head, in a workshop loud enough that ordinary speech recognition gives up.
Keep using it
None of this is an argument to ban it. Technicians who use ChatGPT to understand an unfamiliar system are doing something sensible. It is simply not the thing that knows your equipment, reaches your history, or produces your paperwork.
Which one is right for you
ChatGPT is the right tool for
- Understanding an unfamiliar concept or technology quickly
- Drafting, summarising and rewriting at a desk
- One-off reasoning problems that don't depend on your own data
- Anything where being approximately right is good enough
You need FieldPal as well when
- The answer depends on what your network already did to this model
- A confident guess isn't acceptable, and the source has to be checkable
- The technician is mid-job with nothing free to type with
- The output has to be a submitted claim, not a paragraph to retype
Ask it your ten hardest questions
Take the questions your technicians most often escalate. Ask ChatGPT. Then ask FieldPal, pointed at your own bulletins and repair history. The gap between the two answers is the whole argument.