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9 results for “audit”. Show everything
Ten checks to run before you close the month
Most close problems are found after the books are closed, when fixing them is slow and visible. These ten data checks catch the common ones while there is still time to correct them.
Benford’s law in practice: a simple test that points to unusual numbers
In many real-world sets of numbers, the first digit is far more often 1 than 9. When a ledger breaks that pattern, it is worth a look. How the test works, where it helps and where it misleads.
AI agents in finance: what they can do today, and what still needs you
AI agents can now gather data, run checks and draft the next step across several systems. In finance that is useful and risky in equal measure. A practical look at where they help, where they don't, and how to start.
Continuous controls monitoring: a buyer’s guide
Continuous controls monitoring promises to test every transaction, every day. Before you buy, know which controls to start with, what an alert should look like and who will act on it.
People stay in charge: designing human approval into autonomous workflows
Autonomous workflows can test, match and draft faster than any team. Deciding still belongs to people. Here is how to design approval into the flow so speed and accountability go together.
The intelligence moves, your data doesn’t: private AI in practice
Most AI services ask you to send your data to them. Private AI reverses the direction: the models come to your environment and the data stays where it is. Here is what that looks like in practice.
The end of sampling: testing 100% of transactions
Audit sampling was a sensible answer to paper records. With every transaction in a database, testing all of them is often faster than choosing which ones to test. Here is what changes when you do.
Private Gen AI for legal teams: ten questions to ask before you buy
Generative AI can read a contract in seconds. Before it reads yours, know where the data goes, how answers are checked and who stays accountable. Ten questions to put to any vendor.
Sampling is a habit, not a method: why every transaction matters
Sampling began as a workaround for paper and limited time. The constraint is gone; the habit remains. Testing every transaction is now a choice, and it changes what assurance means.
See it in practice
Use cases from our own project work, anonymised, and scenarios that show the method: one problem, the checks we run, what they find.