The line doesn't wait for a support ticket.
AI operating systems for plants running tighter margins and thinner benches than ever.
Most manufacturers now plan to adopt AI; most will bolt a chatbot onto a system nobody trusts. We build the operating system a plant actually needs: a maintenance and quality-log copilot, a supply-chain and inventory agent that catches shortages before the line does, and the integration layer that gets any of it talking to the ERP and MES systems that already run the floor.
Part of
Manufacturing is one vertical view of a single system. The layer underneath — retrieval, scoped permissions, evaluation, and the audit trail — is the same one we build in every sector.
Where AI earns its keep.
The workflows in manufacturing where AI does real work today — not a someday roadmap, the jobs it can take off your plate now.
Maintenance & quality copilot
Reads maintenance logs and quality reports, flags recurring failure patterns before they become downtime.
Supply chain & inventory agent
Watches inventory and supplier lead times, flags shortages early enough to actually act on them.
Shop-floor knowledge assistant
Answers work-instruction and SOP questions on the floor instead of routing every question to a supervisor.
ERP / MES integration layer
Connects the agents above to the ERP and MES systems already running the plant — no rip-and-replace.
Don’t take our word. Take the call.
3 of the agents above, live in your browser right now. Pick the job you actually need covered, press call, and talk to it the way your customers would — objections included.
A real call, not a recording. Press call once, then just talk — it hears you stop and answers. No buttons to hold.
This browser can’t capture speech — you can still type your side of the call. Chrome, Edge, or Safari for the full thing.
Live agents on fictional businesses and invented records. Nothing you say or paste here is recorded or stored — it lives in this tab and dies with it. A production deployment runs on your data, your systems, and your policy.
A recurring failure, from log entry to corrective action
Not a feature list — the mechanism, step by step, from trigger to logged outcome.
Capture
Maintenance and quality logs are read as they're entered — from the CMMS, the quality system, or a technician's note — against the machine's own service history, not a generic failure-mode library.
Flag the pattern
A recurring failure signature across multiple logs is flagged before it becomes unplanned downtime, citing the specific prior entries it matched against so a technician can check the reasoning, not just the alert.
Route for approval
The flag and a draft corrective-action recommendation go to the maintenance lead or quality manager. Nothing schedules downtime or orders parts on its own.
Log
The pattern, the recommendation, and who approved it log back into the CMMS or MES — so the trail for the next audit or ISO review lives where the floor already looks.
Illustrative — the events this system emits, not a log from any client’s production run.
Every part of it. Not the demo part.
The whole operation, workstream by workstream — including the unglamorous pieces that decide whether any of the rest of it works.
Overnight log & sensor sweep
Maintenance logs, quality reports, and IoT telemetry from the prior shift are read against each machine's own service history before the day shift even clocks in, and compiled into one shift-start list instead of a stack of CMMS tickets nobody has read yet.
Failure-pattern flagging & corrective-action routing
A recurring failure signature across multiple logs is flagged before it becomes unplanned downtime, citing the specific prior entries it matched against. A draft corrective-action recommendation goes to the maintenance lead or quality manager — nothing schedules downtime or orders a part on its own.
Supply chain & inventory shortage detection
Inventory levels and supplier lead times are watched continuously against the production schedule, and a shortage is flagged while there's still time to expedite or substitute — not after the line is already waiting on a part.
Shop-floor knowledge & work-instruction support
Work-instruction and SOP questions get answered from the actual current revision on file, cited to the section it came from, instead of every question routing to a supervisor who's mid-changeover.
Quality non-conformance tracking
A non-conformance is logged with the batch, machine, and operator context attached automatically, checked against prior non-conformances on the same line, and tracked until the corrective action is actually verified closed — not until the report stops getting asked about.
Supplier & purchase-order monitoring
Open POs are tracked against confirmed supplier lead times, and a slipping delivery is flagged against the production schedule it feeds — so a planner finds out from a dashboard, not from an empty bin on the line.
Safety & compliance documentation
OSHA-aware safety workflows and required certifications are checked against actual expiration and completion dates on file, never assumed current, so a lapse is flagged before an audit or incident exposes it.
ERP / MES integration & write-back
Every flag, recommendation, and closed action writes back into the ERP and MES systems already running the plant, so the record lives where the floor and the next ISO review already look — no parallel system to reconcile.
The numbers aren’t ours.
Published industry figures and the rules themselves, each with its source named — this is the gap the build is aimed at, not a claim about our results.
Tell us which part of manufacturing is the bottleneck.
What it will never do.
Enforced outside the model, in the control layer — these are constraints the system can't talk itself out of, not instructions we hope it follows.
- 01Never schedules downtime, orders a part, or dispatches a technician on its own — every corrective-action recommendation routes to the maintenance lead or quality manager first.
- 02Never cites a source it didn't use — every flag points to the specific log entry or telemetry reading it matched against, or says plainly it found nothing.
- 03Never closes a non-conformance or corrective action until a person confirms it's actually verified, not just recommended.
- 04Never overrides a safety interlock or an OSHA-required step — safety workflows are enforced outside the model, not by prompt instruction.
- 05Never treats a certification, calibration date, or supplier lead time as current without checking the actual record on file.
- 06Never carries data from one plant or business unit into another without that scope being explicitly configured.
- 07Never places or modifies a purchase order itself — it drafts the recommendation, a planner or buyer authorizes it.
- 08Never replaces the ERP or MES as the system of record — it reads and writes inside the ones already running the floor.
Built for the rules of your industry.
Services that fit this industry.
What it plugs into.
An AI operating system only earns that name if it runs inside the systems you already have — not beside them.
Asked before the contract, not after.
No — it flags a recurring pattern and drafts a recommendation for the maintenance lead or quality manager to approve. Nothing schedules downtime or places an order on its own.
No rip-and-replace — the agent reads and writes inside the ERP and MES systems already running the floor, whatever they are, rather than adding a separate system nobody checks.
No — it removes the sifting between them and the decision, not the decision itself. A maintenance lead still approves every corrective action; a quality manager still owns the non-conformance call. What changes is how much of their day goes to searching logs versus reviewing a flagged pattern.
It doesn't touch one. OSHA-aware safety workflows and interlocks are enforced outside the model as hard constraints, not something a prompt could override — the system flags and recommends everywhere else, and stays out of safety-critical control entirely.
The failure-pattern and paperwork load per machine is often worse at a smaller shop, not better — you don't have a dedicated reliability engineer combing logs full time. We scope the first build to one workstream, usually maintenance-log triage or PO monitoring, so you see it working on a live line before it touches the rest.
Weeks, not a season — we start with the highest-volume workstream, usually maintenance-log triage or inventory monitoring, measure it against your current turnaround, and expand into the other workstreams once that one has proven itself.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.