Manufacturing / Industrial

The schedule was right on Monday. By Thursday nobody trusts it.

A rush order jumps the queue, a material slips a week, a line goes down for two hours, and none of it reaches the plan until the next morning meeting. By then half the room is working from a printout and the other half from memory, and the argument is about whose number is right instead of what to run next.

You know exactly where output leaks. It is just spread across ERP exports, MES screens, a maintenance log, and three spreadsheets that only one person keeps current.

Best first workflows
Schedule variance

Orders, materials, capacity, line status, blockers, and owner decisions

How we charge
starting from $4,000/month

Month-to-month implementation, cancel anytime

Work areas
Ops + plant

Operations, planning, quality, maintenance, finance, and leadership teams

Where the day gets away from you

The plan drifts faster than anyone can update it

A customer moves a date, a changeover runs long, someone calls in short on second shift. Each change is small. Together they mean the schedule on the wall stopped matching the floor hours ago, and the planner finds out when a supervisor walks over to ask why the wrong job is running.

Quality decisions get stuck in files

A part fails inspection and the hold goes on. Then the evidence scatters. The defect photo is on someone's phone, the rework note is in a spreadsheet, the supplier email is in an inbox, and the batch sits on the floor while three people try to reassemble what happened before anyone can release it.

Downtime only shows up after it has cost you

The operator knew the moment the line stopped and why. Leadership sees it days later, once notes, work orders, and production counts get reconciled by hand. By then the same failure has happened twice more and nobody connected them.

So the instinct is to buy a tool. A scheduling module, a quality app, a downtime dashboard. That is usually the wrong first move, because the problem is not a missing screen. It is that the orders, the materials, the machine status, and the quality holds never sit in the same place at the same time.

What one month on one workflow actually changes

We take a single workflow, connect the data behind it, and build the thing your team opens every shift. Here is what that looks like on three of the ones that jam most often.

Production schedule variance

Today the plan lives in one place, the real dates live in ERP, and the reasons a job slipped live in a planner's head. When the schedule drifts, someone rebuilds the picture by hand from exports and phone calls, usually after the morning meeting has already made the wrong call.

After a month there is one schedule view that shows what changed overnight, which jobs and customer dates are now at risk, and who owns the next decision. The planner walks into the meeting with the drift already flagged instead of discovering it there.

Quality inspection triage

Today a hold is a scavenger hunt. The inspection result, the defect photo, the batch ID, the supplier detail, and the rework note each live somewhere different, and the batch waits on the floor while someone gathers them before anyone can decide.

After a month there is one quality queue. Each open issue carries its evidence, its owner, the next action, and what it is holding up in production or with a customer. The release decision still belongs to a person, but they can make it in minutes instead of by the end of the day.

Downtime and maintenance reporting

Today the operator's account of what stopped the line and the work order and the production impact are three separate records, reconciled by hand if at all. Repeat failures hide because no one is looking at them side by side.

After a month there is a daily downtime view that separates the one-off events from the problems that keep coming back, with the work order and the lost hours already attached. The recurring failure surfaces on its second appearance, not its fifth.

How the month runs

Step 01

Map the workflow with the people who run it

We sit with the planner, the supervisor, the quality lead, and trace where orders, materials, line status, and holds actually start and where they get reworked. Not a factory-of-the-future deck. The real path your work takes today.

Step 02

Decide who checks what before it counts

We agree the source of truth for each number, what evidence a hold or a job release needs, and who signs off. So the daily view is trusted the first time it is shown, not second-guessed.

Step 03

Build the tools your team opens every shift

We ship the dashboards, forms, and connections that fit your planning meeting, your shift handoff, and your management review. Built to be used at 6am under real pressure, not admired in a demo.

Step 04

Run it under real volume, then take the next one

We tune it with the planners, supervisors, and maintenance leads who live in it, get it sticking, and only then move to the next workflow that is costing you output.

Where AI fits

Here is exactly where AI earns its place and where it does not. It reads shift and planner notes into a short summary, pulls the facts out of inspection forms and supplier PDFs, groups recurring defects and downtime reasons, and drafts the first pass of a production or quality report. Every one of those is a draft with the source attached, put in front of a person. Quality, safety, and release decisions stay with the people accountable for them. AI summarizes, classifies, and flags. Operators decide.

What we connect, and how we treat the plant

The hard part is almost never one dashboard. It is wiring together the systems and records behind planning, production, quality, maintenance, and materials so they finally agree. We work with the tools you already run:

ERP, MRP, and order management
MES, QMS, and CMMS
BOM and routing data, supplier records, BI tools, and shop-floor forms

Every number in the view links back to the order, job, batch, or machine it came from, so when someone asks where it came from the answer is in the system, not in an argument.

It runs month to month, starting from $4,000/month, cancel anytime. One workflow at a time, made reliable before we move to the next. No big-bang project, no lock-in, no rip-and-replace of the systems your floor already knows.

FAQ

Common questions

Which manufacturing workflow should we fix first?+

Usually the one where a drifting schedule, a slow quality release, or blind downtime is costing you the most output right now. Common starting points are production schedule variance, quality inspection triage, downtime reporting, the quote-to-production handoff, shop-floor data capture, or supplier and material availability. We help you pick the one where a month of work changes the most.

Is this factory automation hardware, or workflow software?+

Workflow software, not hardware. We do not install machines or robots. We work around the ERP, MES, QMS, CMMS, spreadsheets, and shop-floor forms you already have, and the value comes from making the data, the handoffs, and the daily rhythm reliable.

Where does AI actually help on the plant floor?+

Inside a workflow a person still owns. It reads shift and planner notes into a short summary, pulls the facts off an inspection form, groups recurring defects and downtime reasons so the repeat offender stands out, and flags a schedule or material slip for someone to check. It does not decide a quality hold, a release, or a safety call; those stay with your team.

Tell us the workflow your team keeps rebuilding by hand

The schedule that drifts by Thursday, the hold that takes half a day to release, the downtime nobody sees until it repeats. Tell us which one costs you the most output, and we will pick the first workflow to wire together.

We reply within 1 business day. No sales ambush.

Rather score the workflow yourself first? Run the workflow calculator.