Why AI pilots stall at the demo
The gap between a convincing prototype and a system in production is rarely the model. It is permissions, data access, error handling and who owns it on Monday.
Not thought leadership. Notes on the specific, unglamorous work that decides whether a technology project reaches production, written for the people who have to run it afterwards.
NEW RESEARCH · OCT 2026
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The gap between a convincing prototype and a system in production is rarely the model. It is permissions, data access, error handling and who owns it on Monday.
Natural speech is the easy part. The difference is whether the agent can read and write to the systems that hold the answer.
What actually happens between a customer asking for ISO 27001 and an auditor signing something. And how long each part really takes.
A practical way to decide which of the three a given problem deserves, before someone commissions software that did not need to exist.
Most operational pain in mid-sized companies is not bad software. It is good software that cannot reach the other good software.
The point at which an internal part-time IT arrangement starts costing more than it saves, and what to hand over first.
These pieces are drafted but not yet published. Rather than link to empty pages, they are listed here so you can see what the section will cover.
Most of what is in these pieces comes up in the first conversation anyway.