Insight
A report shows what you asked to see. Anomaly analysis shows what you didn’t know to ask for: patterns spread across tens of thousands of rows that nobody reads by hand — amounts that repeat, deliveries with no matching document, values outside the usual range, dependence on a single partner.
Who this is for
This is not an attention problem. It is a scale problem.
Nobody reads them, so checking is done by sample. Whatever falls outside the sample is not seen.
Rules catch what someone thought to look for. Unknown patterns stay unknown.
A delivery with no document and a document with no delivery each look normal in their own system.
What you’re losing now
Not in the abstract. In things that repeat month after month with nobody noticing.
Duplicate payments, invoices entered twice, subscriptions still running after the service was cancelled.
Deliveries with no document, orders with no delivery, advances with no invoice. Each looks normal in its own system.
Dependence on a single supplier or customer, built up gradually, with no decision behind it.
What we deliver
We analyse every table in your systems and surface what falls outside the pattern: repetitions, missing counterparts, unusual values, concentrations. No hand-written rules.
Every table, not a sample. Patterns are discovered from the data, not from a checklist prepared in advance.
Not a thousand equal flags. The order tells you where to start.
What was found, where, between which documents, and what exactly you need to confirm. It says “look here”, not “you are being defrauded”.
A pattern that shows up in five places is one entry in the list, with all its occurrences underneath.
How we work
No rules written in advance. What counts as out of pattern is decided from the pattern your own data has.
Duration: 1 conversation
We connect to your sources and read which tables exist and how they relate.
Every table is read, looking for repetitions, missing counterparts, unusual values and concentrations.
Findings are grouped, ordered by relevance, and each gets the context that shows what you need to check.
We walk the first findings with you. Some are explained immediately and leave the list — that is part of the process, not a failure of the analysis.
The timeline depends on how many sources enter the analysis and how large they are. We agree it after reading the structure, not before.
What changes
Checking is done by sample, on the rules somebody thought of. Whatever falls outside the sample stays unseen.
One ordered list, across every source, with what exactly to check at each entry.
What stops you
From the same stage
Anomalies say what already happened and nobody noticed. Predictions say what comes next.
Know exactly where you make profit, where you lose, and how your cash-flow will look in 3–6 months. With “what-if” scenarios.
Understand which clients bring value, where you’re losing opportunities, and where your sales team should focus.
The metrics that matter, on one screen, updated automatically. Not fifty charts — the indicators you actually run the business on.
Who might stop buying, who might not pay, how much you will sell next month. Models trained on your own history, with the margin of error stated up front.
Next step
Tell us which decision you want to make better. We’ll tell you whether we can help, and how, concretely.