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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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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.
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.
Pay for what you deploy: the end of shelfware
Enterprise software is often bought in bundles and used in parts. The rest becomes shelfware: paid for every year, used by nobody. Paying for what you deploy changes who carries that risk.
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.