The knowledge walks out at shift change
Your best maintenance tech knows which compressor acts up in cold weather and what the fix was in 2019. None of that is in the CMMS in any form anyone can find. When he retires, it retires.
Spokane and the Inland Northwest
Private AI for manufacturers
Your plant already produces the raw material: manuals, work orders, quality records, shift notes, thirty years of tribal knowledge walking around in steel-toed boots. A private AI system puts that to work without any of it leaving your building.
We serve Spokane, Spokane Valley, and Liberty Lake from our Coeur d'Alene office, about 40 minutes east on I-90.
The problems worth solving
Where plants actually bleed time
Skip the vendor slide decks. Ask your floor supervisors what wastes their day and you'll hear some version of these three.
Nobody reads the SOPs
The work instructions exist. They live in a folder tree seven levels deep, half of them are outdated revisions, and looking one up mid-task costs more time than winging it. So people wing it.
Paperwork eats the margins
Supplier quotes, NCRs, shift reports, purchasing docs. Every one gets read by a human, retyped by a human, and filed where no human will find it again. That is payroll spent on transcription.
Use cases
What a private system can do in a plant
All six start with data you already have. And in every one, a person stays in charge of anything that matters.
SOP and manual search
Ask in plain English, get the answer with the source document cited: work instructions, equipment manuals, troubleshooting notes, revision history. It tells you which revision it pulled from. When it is not sure, it tells you that too.
Maintenance triage
A work order comes in and the system pulls similar past failures, suggests checks from your approved procedures, and drafts the notes for the CMMS. The technician stays accountable for the wrench.
Quality records that talk back
Search inspection records, NCRs, and corrective-action history in seconds. Surface the pattern where the same defect keeps coming back from the same station before the customer surfaces it for you.
Shift handoffs that hold up
Downtime events, production notes, and open issues turned into a structured handoff instead of whatever got scribbled at 5:55. If a field is empty, the system flags it before the shift leaves. Nobody finds out at 2am.
Purchasing paperwork
Part numbers, lead times, and terms extracted from supplier PDFs and email, checked against your ERP, queued for a buyer's approval. Nothing gets committed without a signature.
Onboarding that scales
New hires ask the system before they stop the line or interrupt the one person who knows. Answers come only from your approved, current instructions, matched to their role.
Honest limits
What we will not promise you
Vision inspection and predictive maintenance are real technologies, and this page would be easier to write if we pretended they were plug-and-play. They are not.
Predictive maintenance needs history: sensor data, failure records, maintenance logs of decent quality, going back far enough to learn from. Most plants under $50M do not have that data in usable shape yet, and a model trained on garbage predicts garbage. The honest starting point is a data audit that tells you what you have and what to start capturing, then offline analysis before anyone trusts an alert.
Machine vision works when the pilot is bounded: one defect class, one station, controlled lighting, and a plan for false positives. It sometimes needs camera and controls engineering that we would bring a specialist in for rather than fake. Spokane has real automation engineering firms, and we would rather work beside one than pretend to be one.
And a word on the phrase "on-premise means secure." It does not. A private deployment still needs identity, network segmentation, backups, logging, and an update policy. We design those in, and we will show you the architecture rather than ask you to take the word "private" on faith.
Ready today vs. ready with prep
- Ready today: document search, maintenance triage, quality records, handoffs, purchasing docs
- Ready with prep: anomaly detection on your historian data, scheduling decision support
- Bounded pilots only: vision inspection, failure prediction
- Not ours to touch: PLC logic, safety systems, anything that moves without a human saying go
The region is moving
Manufacturing AI is arriving in the Inland Northwest
Three things happening in the region right now, none of which require you to call us.
Local schools are training for this
The University of Idaho announced AI degree programs for fall 2026, including in Coeur d'Alene, and its Center for Intelligent Industrial Robotics works on exactly the robotics-meets-AI problems plants care about. Spokane Colleges announced AI programs of their own the same year.
Spokane employers already post for these skills
Greater Spokane Inc. tracks hundreds of manufacturing employers in the region and highlights robotics, software troubleshooting, and process improvement among the skills they post for. The plants that learn these tools first get their pick of that talent.
Most plants your size haven't started
A handful of regional firms do industrial AI work, mostly aimed at controls engineering or at enterprises. Being early here is still possible in a way it no longer is in software or marketing.
The path in
How an engagement starts
Same as everything we do: a conversation first. Tell us what your plant makes, what is slow, and what data you keep. We will tell you honestly whether there is a project here.
If there is, the AI Systems Assessment is the structured version: two meetings over about two weeks, a workflow and data inventory, the private-versus-cloud architecture call for your situation, and a written report with a build order and real costs. For a plant, that report covers the OT/IT boundary, what stays inside the building, and where the human approval points sit.
What we do not do is quote a manufacturing transformation off a phone call. Neither should anyone else.
What the assessment answers for a plant
- The first workflow to build, with a baseline you can measure it against
- What your data can support today, and what to start capturing
- Where the data boundary sits, and what never leaves the building
- A real cost figure. And our honest read on whether it pencils out for a plant your size.
Plant questions
What manufacturers ask us
Can our data really stay inside the building?
Yes, when the architecture is designed for it. A system on your own hardware, behind your firewall, with defined data flows can keep production data fully inside. Where a hybrid design makes more sense, we draw the boundary explicitly so you know exactly what crosses it and why.
Do we need sensors or new equipment first?
Not for the document and workflow use cases. Those run on files and systems you already have. Sensor work only enters the picture for anomaly detection and predictive maintenance, and there we start with an audit of the data you are already collecting.
Does this replace our ERP, MES, or CMMS?
No. It sits beside them, reads from them, and drafts into them with a human approving. Ripping out systems that run your plant is a terrible first AI project.
Our records are a mess. Is that a dealbreaker?
It is the normal starting condition. Messy documents are something these systems handle better than you would expect. Missing data is the harder problem, and the assessment tells you what to start capturing so next year you have options you do not have today.
Who maintains the system after it is built?
Your call. We can support it, train your people to run it, or both. Ownership of the hardware, the credentials, and the data is yours either way. You are not renting your own knowledge back from us.
Start the conversation
Tell us about your plant
What you make, roughly how many people, and the problem that made you search for this. We reply within one business day, and the first call costs nothing.
- Free 20 minute discovery call
- $3,000 assessment when you want the full workup
- On-site visits across Spokane and North Idaho
Reach us directly
(208) 648-3977
212 S 11th St Unit #4A
Coeur d'Alene, ID 83814
Request a call
We reply within one business day.