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.
Blog
The rolling forecast that explains itself
A forecast nobody trusts is a spreadsheet with opinions. A rolling forecast that shows its drivers, its accuracy and why it changed gets used. Here is how to build one.
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.
Idle cash is a cost: a treasurer’s checklist
Cash sitting in the wrong account, in the wrong entity or for too long earns little and costs plenty. This checklist shows where it hides and how to put it to work without adding risk.
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.
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.
Orchestrated, not abandoned: the hidden cost of self-service analytics
Self-service analytics promised that everyone would find their own answers. Many teams got a hundred dashboards and no decisions. The fix is not less access; it is someone running the system.
80% ready, 20% yours: why configuration beats customisation
Custom code makes software fit today and break tomorrow. Configuration makes it fit and keeps it maintainable. Here is where to draw the line between the two.
What is CoSaaS? Services, delivered as software
Software gives you a tool. Consulting gives you people. CoSaaS gives you the outcome: a proven solution, configured to your business and run with you until it pays.
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.

