Friday · 8:02 AM
Today's signal
26-0417Weld assembly
26-0382Outside FPI
26-0441Final inspection
Practical AI systems for small manufacturers
I turn the reports you already export into one calm, clear daily priority system—so the right jobs move before the due date becomes an emergency.
Built by an Ohio engineering manager who runs production-planning systems in a real machine shop.
Friday · 8:02 AM
26-0417Weld assembly
26-0382Outside FPI
26-0441Final inspection
One place to answer:
The 30-day shop reset
This is not a six-figure software replacement. We clean the signal coming out of your current system, build the daily view around how your shop actually runs, and make it usable by more than one person.
Map the reports, handoffs, overrides, and workarounds your team relies on now.
Backlog · routers · outside service · due datesTurn the useful data into one ranked, explainable view for the people doing the work.
Daily queue · risk flags · capacity · KPIsDocument the logic, train the team, and tune the system against real production days.
Training · SOPs · weekly tuning · supportBuilt for the overlooked middle
Shopfloor Signal is for small and midsize job shops that already have an ERP, capable people, and plenty of data—but still lose time stitching the daily truth together.
A planner or manager still cleans reports by hand
Priority changes faster than the ERP view
Outside service status lives in a separate list
Supervisors rely on one person for the real answer
You want practical AI, not an AI science project
What changes
Free shop clarity check
Five honest questions. No email wall. You will leave with one practical next move.
Question 1 of 5
Simple scope. Visible finish line.
No vague transformation retainer. Every engagement starts with a defined question, deliverable, and owner.
One week · fixed scope
Build · train · stabilize
After a successful build
Final scope and price are agreed in writing before work begins. No surprise software purchases.
No guru story
I manage engineering and production-planning systems inside an Ohio manufacturer. My day-to-day work is the unglamorous, important stuff: backlog logic, capacity, ERP exports, Power BI, outside services, shop-floor handoffs, and the reports leaders actually use.
Shopfloor Signal is the productized version of that experience for smaller manufacturers. I will not pretend AI knows your shop better than your people. It is here to remove repeatable cleanup, catch patterns sooner, and give good judgment a cleaner place to start.
Straight answers
No. The first goal is to make the information you already own easier to trust and act on. We usually begin with read-only exports.
If your ERP, spreadsheet, or report can export structured data, we can usually assess it. The audit confirms fit before any build is sold.
No. AI can help classify, summarize, or surface patterns, but the priority logic stays explainable and important decisions stay human-reviewed.
That is normal. We separate what can be cleaned safely from what needs a process fix. You get that answer before committing to a full reset.
A typical reset needs one process walkthrough, access to agreed read-only reports, brief weekly check-ins, and a final working session with the people who will use it.
Founding-shop engagements
Start with one messy decision your team repeats every day. We will figure out whether it deserves a system—before you buy a system.
Request a 20-minute shop conversation →Three founding-shop openings · Ohio first, remote where the fit is right