Where should your LLM live?
In almost every AI conversation I have with a government entity, one question comes up within the first ten minutes: where will our data go? It's the right question, and the answer shapes the whole so
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Map the process before you automate it
Ask a team how a complaint or a request moves through their organization and you'll get a clean flowchart. Pull the event logs from their systems and you'll see something very different: loops, rework
Five questions I ask before any AI proof of concept
When a client brings me a list of AI ideas, the list is usually long and the budget is not. Before anything goes into a proof of concept, I run each idea through five questions. Most ideas don't survi
Why most AI pilots never reach production
Over the last two years I've sat in a lot of rooms where an organization proudly shows its AI pilot. A chatbot, a document classifier, a dashboard with a forecast line. Six months later, most of them
