One set of numbers, everywhere
The ERP says one thing. The spreadsheet says another. The real number is on somebody's desktop. We pull it together into one live view, so the Monday meeting starts with numbers nobody argues about.
Built from the ERP you already run, plus the spreadsheets your team will not give up.
The gap
The same three problems, in nearly every company we walk into.
Sales quotes one backlog figure. Operations has another. Finance has a third. All three are defended, all three came from somewhere real, and the meeting is spent reconciling instead of deciding.
Meetings about the numbers, not the business
Somebody built something good in Excel. It works on their machine, with their exports, in their format. When they are out, or a source changes, it quietly stops being true.
A single point of failure running your reporting
Job costs land weeks after the job shipped. A late order surfaces at the review, not the morning it slipped. By then the decision window has closed.
Every month, decisions made three weeks late
What we do
Not another BI license. A view of your operation that maintains itself.
Backlog, throughput, on-time delivery, WIP, and margin by job. On a wall screen on the floor and on a phone in the truck, refreshing on its own.
In practice
Same numbers on every screen in the building, pulled from the ERP on a schedule you set. Nobody rebuilds it on Friday, and nobody brings a different version to the meeting.
Most of what decides whether a job made money is not in the ERP. Scheduling, quoting, and quality often live in files. We merge them in.
In practice
A dashboard built only from the ERP will be wrong in exactly the ways your team already knows about, which is why they will not trust it. We pull the spreadsheets in too.
A dashboard people have to remember to open is half a solution. When a number crosses a line, the right person hears about it.
In practice
A job goes past its promise date, or actual hours cross quoted hours, and the supervisor gets it that morning. Not at the month end review.
The number most manufacturers only see after the fact, moved to while you can still do something about it.
In practice
Live actual versus quoted, per job, per operation. When a run is going sideways, you find out at operation three instead of at invoicing.
A dashboard answers the questions you anticipated. Pair it with an assistant and your team can ask the ones you did not.
In practice
The dashboard shows on-time delivery slipping. Somebody asks which customers and which cells, in plain English, and gets the answer without a new report.
Deployed in your accounts, documented, with no per-seat license from us. Your team can change a threshold without a support ticket.
In practice
We hand over the whole thing, including how it works. Plenty of our customers extend it themselves afterward, which is the outcome we want.
Not sure which of these matters most for your company? That is what the first call is for.
Under the hood
The hard part is never the chart. It is making the numbers agree.
2 to 4 weeks
from first call to a live view in your business
One
set of numbers, on every screen in the building
0
per-seat license fees from us to view it
Systems
We build this on any system we can read. These are the ones we work in most.
Questions
Because the tool was never the hard part. The work is getting clean data out of the ERP, merging in the spreadsheets that hold the other half of the truth, and getting three departments to agree what each number means. A BI product does none of that, and it leaves you paying per seat for people to look at your own numbers. We build the dashboard itself, shaped around your operation, and hand it over.
ERP dashboards show what is in the ERP, which is usually most but not all of the story. If your scheduling, quoting, or quality data lives outside the system, the built-in dashboard cannot see it, and your team already knows that, which is why they do not use it.
It is, and that is normal. Nobody has clean data. Part of the first two weeks is finding where the numbers disagree and why. That map is often more valuable than the dashboard itself, because it tells you which processes are actually broken.
Epicor Kinetic, SYSPRO, Global Shop Solutions, Made2Manage, and abas most often, plus Infor and Sage environments. If your system exposes an API, OData, or a database we can read, we can build on it.
Not to start. We ingest the spreadsheets where they already land, on purpose. Asking everyone to change their process on day one is the fastest way to have a dashboard nobody feeds. Once people trust the view, the process changes tend to happen on their own.
Two to four weeks for a live view. We start with the one number people argue about most, because getting that right buys the credibility for everything after it.
Let's talk
Thirty minutes. You tell us where the numbers disagree and where they come from. We tell you what one live view would take, and what we would put on it first.
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Other things we build
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Data foundations for AI
Getting your data into a shape AI can actually use. The unglamorous part that decides whether everything after it works.
MCP servers for ERP
A safe, scoped connection between your ERP and Claude, ChatGPT, or Copilot, so your team can ask questions in plain English and get answers from live data.
AI chatbots for manufacturing
A chatbot grounded in your ERP data and your own documents, so it answers from your reality instead of the internet.
Everything we build