One idea at a time.
Practical reads on earning more and losing less with data and AI. One idea, one number, one thing to try.
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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.
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.
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.
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.