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Practical reads on earning more and losing less with data and AI. One idea, one number, one thing to try.
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6 results for “controls”. Show everything
Vendor master hygiene: the quiet control behind clean payments
Duplicate vendors, stale bank details and missing tax data cause duplicate payments, fraud and compliance problems. A clean vendor master prevents all three. A practical guide to cleaning it and keeping it clean.
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.
Duplicate payments: how much is normal, and how to stop them
Every accounts payable team pays some invoices twice. The useful questions are how many, why, and whether your controls would notice. Here is how to find them and keep them from coming back.
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.
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.
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.