A transparent look at the questions I ask and the signals I look for before recommending anything, and why the scoping conversation is often more valuable than the build.
A practical breakdown of the workflow patterns where a custom AI build delivers the clearest return, and the signals that tell you which category you are in.
The real cost of institutional knowledge trapped in documents, inboxes, and people's heads, and why most organisations don't recognise it until someone leaves.
The decision framework I actually use with clients to separate problems that need AI from problems that just need a decent automation, and why getting this wrong is expensive.
Why off-the-shelf software investments fail to stick, and why the gap between how a tool works and how your team actually works is almost always the culprit.