Insights
The evidence, read for people who have to act on it.
Articles we publish on LinkedIn, with the one thing to do on Monday.
- LinkedInDecision models: what’s new, and what the evidence says Typed answers with a probability attached, now tested independently. Strong on short, bounded decisions, weak on legal text and prompt injection.Monday: test one decision you already make with rules.
- LinkedInWhat AI changed in software engineering, and what it didn’t Writing code got nearly free. Knowing it’s right didn’t: commits up 240%, releases up 30%. Verification is now the bottleneck.Monday: baseline review time and revert rate before the next tool.
- LinkedInWhat the CBUAE AI/ML guidance note asks of a technology function Six expectations attach to any AI system a licensed institution deploys, coding assistants included. Each is cheap on day one of a pilot and expensive by week eight.Monday: list every AI tool already in use, with an owner and a risk rating.
Bring one question your teams can’t answer reliably today.
In thirty minutes we’ll show you how it would be anchored in your data, and how we’d measure the answer.
No pitch.
A working conversation about your operation.
An honest answer.
If AI isn’t the right tool, we’ll say so.
A clear next step.
If there’s something worth building, you’ll know what the diagnostic covers.