Series  ·  4 parts

From pilot to production

A series on the governance, architecture, delivery, and operating choices that determine whether enterprise AI survives contact with production.

The series in order

Part 1

Enterprise AI and delivery · 8 min read

AI governance starts with the decision, not the model
The model matters. The more important governance question is what decision the system can influence, what evidence it uses, and who remains accountable.

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Part 2

Enterprise AI and delivery · 7 min read

The pilot is not the product
A demo proves that a capability can work. Production proves that the organization can own, govern, support, and improve it.

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Part 3

Enterprise AI and delivery · 8 min read

Shadow AI is a compliance problem
Unapproved AI use is not only a tooling problem. It creates unmanaged data flows, unclear decision rights, and evidence gaps.

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Part 4

Enterprise AI and delivery · 8 min read

Human in the loop is two designs, not one
A human reviewer and a human owner solve different risks. Production systems need both roles designed deliberately.

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