Internal audit · built and running
Big 4-grade internal audit. Without the Big 4 headcount.
Most audits check a sample. We don't look for the needle, we check the whole haystack, every night, and flag only what matters.
Book a 15-minute call See how it works
Or try it yourself: a morning at Tennacre, a made-up retailer →
We put it to the test at Walmart* scale.
We built a retailer from scratch at real-world scale and ran two months of it through OSO: one region's books, and another region's daily files from 100 stores, 10 warehouses and a fleet of trucks. Then we hid 44,347 problems in it: duplicate payments, missed deadlines, changes nobody approved. OSO found every one, and every flag said which rule was broken.
*A synthetic company built to the publicly reported scale of a Walmart US region; every name, id and amount was invented. OSO is not affiliated with or endorsed by Walmart Inc., and no Walmart data was used. Two test months, two regions; not every check was in scope.
It also knows when to stay quiet. We mixed in 70,000 things that only look like problems, like a regular monthly order that looks just like a duplicate invoice. OSO could tell what was real from what only looked wrong, and flagged just the few worth a closer look. No pile of false alarms for your team to chase.
Here's how it works
You give us the data
Ledgers, payroll, payments, stock, access rights. From any system, or straight from your own storage. We only ever read it.
We check it every night (so you don't have to)
Against your own rules and limits, not ours. When something breaks a rule, the flag says which rule and shows the numbers.
You make the calls
Approve, dig in, or dismiss with a reason. When the risk moves, OSO suggests where your plan should go next. Nothing happens without a yes.
We don't just watch your books. We watch the world around them.
Rules change, suppliers get sanctioned, storms close roads, regulators publish new standards. Most teams find out from the news, weeks late. OSO reads those sources as they publish, matches every change to your own suppliers, spend, stock and sites, and tells you which ones actually touch you, by how much, and what you could do about it.
Matched to your numbers, not the headlines
A new safety standard lands. OSO doesn't send you the article. It shows you the products and suppliers it touches in your own data, what they're worth to you, and which sites carry them.
A brief your board can act on
Each change becomes a short brief with options built on your own figures, and every figure shows where it came from. Your head of audit signs it. Management decides. Nothing is a guess.
Coming next: your market, read every week
Your competitors' prices, promotions and new stores, read from public sources and joined to your own numbers, store by store and region by region. Here's a taste, built only from what the chains published: Thanksgiving for 10: who's cheapest, by their own numbers.
Can't ChatGPT just do this?
No. A chatbot only sees what you paste into it, it can't check every record every night, and it can't show you what it read. We use AI too, for the wording. Never for the numbers, and never for the calls.
Why I built OSO
I saw audit from the inside. I knew it could be better.
I saw how audit really works from inside the Big 4. The best teams spend most of their time checking things a machine could check, and they still only get to look at a sample.
So I built OSO to do the checking: all of it, every night, with every flag showing exactly why. That frees your people for the part that needs a person: the judgment.
That's the deal. You give us the data. We paint the picture. You make the calls.
Omar Soliman, Founder
Also for audit firms
Every conclusion, traced to its standard
OSO started in external audit, and it's still going strong there. It takes care of the fieldwork, links every finding to the exact standard behind it, and builds a file that holds up when the inspector comes knocking. Here's a three-minute tour:
Your numbers talk. We listen every night.
Pick one process: payables, payroll, the close, anything. We'll run it through OSO on your data and show you what we find.