Two people. Opposite problems. One fix.
Every shop floor has the same standoff, and it is not a technology problem.
He has run that lathe for twenty years and he is interrupted every twenty minutes. His own backlog has not moved in years. Every interruption does not cost a question — it costs him the rest of the day getting his head back into his own work.
Three years in, competent, and blocked — not by difficulty, by availability. Every time he asks the same question again it costs him a little standing, so eventually he stops asking and guesses instead.
The junior gets the answer in minutes, in the expert's own voice and judgment. The expert stops being the help desk. This is the only intervention that gives both of them what they want at the same time.
One hour of your expert's time to start.
The process begins with a one-hour AI-guided voice interview. Your expert talks; the system extracts. From that single hour it can answer about half of what your expert would — useful on day one, from one hour of the one person you can least afford to tie up.
From there it deepens. Upload the SOPs, the prints, the tribal documentation that has been sitting in the graveyard since somebody wrote it years ago. Point it at an internal knowledge base and it reads that too. Every conversation it has is logged, summarized, and analyzed for weaknesses, and those corrections feed the next version. After a few months of real use it handles about nine questions in ten.
Nothing about this requires prompt engineering, a data science team, or a year-long implementation. The documentation you already have stops being a graveyard and starts being an asset.
In a machine shop, a confident wrong answer is scrap.
This is the reason general-purpose AI has no business answering a question about your tolerances. A Protégé is built the other way around: it only knows what your expert knows, so it cannot make things up.
Four guardrails sit between a question and an answer:
The first two guardrails establish enough context about the question before anything is answered. Other AI systems are optimized to answer. This one is optimized to understand first.
It goes to the expert's own validated knowledge base before anywhere else. If your expert has answered it, that is the answer you get — in his framing, not a generic one.
At the edge of what it knows, it escalates to the human rather than improvising. In practice only about 6% of questions ever reach that point.
Built for the questions your IT lead will ask.
Your personal information is never used to train a public LLM. Personally identifiable information is removed from uploaded documents by default. Your expert's knowledge — the actual asset — is never used to train a public model.
Your knowledge base can stay on your infrastructure. For organizations with data-sovereignty requirements, documentation can remain on-premise, with Expert Scale connecting by secure API. When the contract ends, your data stays inside your organization.
SOC 2 Type II certification is in progress, and the architecture was designed from the start for environments where a wrong answer carries real liability. The underlying approach is covered by a pending patent: 34 claims across 9 core innovations.
You pay for answers, not seats.
Pricing is usage-based: $40 per hour, billed by the minute, with volume discounts available at scale. There is no per-seat license, so giving access to the whole shop costs nothing until somebody actually uses it — which removes the usual argument about who gets a login.
You set your own thresholds and alerts, so usage stays visible and nothing runs away from you.
Answers to what your team will ask.
Argue with one before you believe any of this.
Everything above is a claim. Two minutes on a microphone is evidence, and the part worth testing is not whether it answers well — it is what it does when it cannot.
Start with the one person you cannot replace.
It takes about two minutes. Only one of these questions really matters — the one asking who you cannot afford to lose. If you can answer that in a sentence, this will probably work for you.