Operational intelligence
An analyst, a data scientist and a project manager that never go home. VERUS watches your ERP, maintenance, HR and CRM data all day, every day, finds what’s going wrong and where the money is, and keeps the fixes on track.
Good morning! Here’s what I found.
VERUS found
On the demonstration group, before anyone asked a question.
It cannot change your systems.
Your data stays on your machine.
Turn it off and it all still runs.
Every number says where it came from.
What it does
It does the reporting your people build by hand today, and points at the processes that need fixing. No new system to feed.
Does the daily reporting, so nobody has to build it.
Watches everything, all day and all night, for what has changed.
Keeps the fixes on track until they are done.
What it catches
On the demonstration portfolio: three manufacturers, three years of records. Two of these are problems in the data itself, which sit under every report built on it. VERUS calls those out first.
$24,421
in scrap at one work center in March, against a usual $10,705
33%
on time for one customer last week; four customers were below 85%
107 days
since anyone called, visited or emailed the largest customer at one company
1,252
order lines whose promise date was moved to the ship date after shipping, so on time looked better than it was
50%
of all downtime booked to one catch-all reason code, so the breakdown by reason means little
1 month
raised in a year by the scrap-against-steel agent: the one the market didn't explain
See it
Told by VERUS himself: a plant manager’s morning, an agent described in one sentence, and the owner’s view.
Take a closer look. These are the real screens.
Yesterday, what crossed a line, and the plans under way, on one page before the first meeting.

Less work, not more
VERUS keeps the numbers current all day, and its agents look again as new data lands, so a bad day is flagged while the shift can still act. Everything else needs no meeting to review.
It reads the systems you already have, where they are. Nothing to move, nothing new to feed, no data entry.
Promise dates changed after shipping, a catch-all reason code, one shift coding scrap its own way. Fix the process, not the report.
Prices for your key materials, industrial production, energy, rates and the trade news that names your materials, customers or competitors. It separates what the market did from what you did.
Setting it up
I work out the rest myself. I only ask what I can’t.
Give it the address and a read-only login. ERP, MES, maintenance, quality, warehouse, HR, CRM, your data warehouse, spreadsheets: if it has a database, an API or exports files, VERUS can read it.
It works out your tables and codes, and already knows how many common products store their records.
Where it isn't sure, it asks your people. A maintenance system took five.
Installed on one machine in about six minutes. Fast-changing records pulled through the day, the rest overnight.
Meet the team
The Detective digs into why. The Tracker hunts spikes. Red Alert blinks when something is wrong right now. And Sprocket, his robot dog, sniffs out bad data.
Who it’s for
Their plant only. Yesterday's numbers, the problems that need a decision, and the plans under way, without waiting on an analyst.
Every plant on the same definitions, straight from the systems, with a warning wherever the data can't be trusted.
Every company side by side, from the portfolio down to one plant, read from the systems rather than from a monthly pack. The P&L of every level, what was reported against what the systems say, and a board pack with every number sourced.
Who built it
VERUS was built by C. T. Herndon, who has spent his career running industrial operations: plants, people and P&L, most recently as a senior operations executive running a division of more than $500 million, and before that in military intelligence with the U.S. Army. It is published by The Resonance Institute, which he founded.
VERUS is built, and ready for its first companies. It runs today on a demonstration portfolio of three fictional manufacturers we built for demonstrations: two on one ERP, with three years of records and HR, CRM, maintenance and accounting systems alongside, and a third with six plants in two regions on a cloud ERP of its own. Several companies in one installation work today. One view across companies that each run their own installation is next, built with the first group that needs it. Every result we have measured is on the evidence page.