01 · Data integrity
Your cost data is correct. Always.
A continuous validation layer that reconciles every cost figure against source systems and flags the anomalies a static rule would miss.
The problem
A wrong cost figure rarely announces itself.
Cost figures enter your books from dozens of source systems, and a wrong number rarely announces itself. A static rule only catches what you thought to check for; the figure that is 18% above its normal pattern slips through and quietly distorts the numbers you report.
See the wrong number before it enters your books.
Book a 30-minute demo and we'll show it live, then a free pilot on your own data.
The solution
Reconciliation that learns your normal, not just your rules.
Autessa reconciles every cost figure against its source system, learns your normal patterns, and flags the anomalies a static rule would miss — before a wrong number quietly enters your books. It is judgment and pattern-finding applied to data you already have, not a new spreadsheet to maintain.
Checked against the source
Every cost figure is reconciled against the source system it came from, so a number that does not tie out is surfaced before it settles into your books.
Flags what a rule would miss
Autessa learns the normal pattern for each cost line and flags figures that deviate from it, catching anomalies you never thought to write a rule for.
How it fits
Validation that runs continuously, not at close.
Autessa reads cost figures from your source systems as they post, reconciles each one, and checks it against its learned pattern. There is no new spreadsheet to maintain and nothing to re-key.
Nothing is posted or changed without your team. Autessa surfaces what looks wrong; your books and systems of record stay exactly where they are.
Because it learns each line's own history, it catches the vendor whose spend jumped against itself, not just figures that break a hard threshold.
Questions finance teams ask
Straight answers before you book.
How is this different from a static reconciliation rule?+
A static rule only catches the conditions you defined in advance. Autessa learns the normal pattern for each cost line and flags figures that deviate from it, so it surfaces anomalies you did not think to write a rule for, like a vendor whose spend jumped 18% against its own history.
Does it change my source systems?+
No. Autessa reads from your source systems to reconcile, and surfaces what looks wrong. Your books and your systems of record stay exactly where they are. Nothing is posted or changed without your team.
What happens when it flags something?+
The flagged figure is shown to your team with the reason it stood out and the source it was checked against. Your team decides whether it is a genuine error or an expected change. Autessa removes the blind spot, not the control.
How long does it take to learn our normal patterns?+
Autessa learns from the history already in your systems, so it has a baseline for each cost line from day one rather than needing months of observation. The patterns sharpen as more periods post, but you are not starting from a blank slate.
Will it flood us with false positives?+
No. Because it learns each line's own normal range rather than applying one blanket threshold, a routine seasonal swing is not treated the same as a genuine 18% break from pattern. You see the figures that are actually out of character, with the reason and the source, not every movement.
What kinds of cost figures does it reconcile?+
COGS, vendor ledger lines, facilities, cloud spend, logistics, and any other cost category that posts from a source system. Each is reconciled against where it came from and checked against its own learned pattern.