Long-form writing on private AI deployment, security, and delivery
Articles that capture the working point of view behind engagements. Written for people making the decision, not for marketing.
Article index
Working topics that come up in discovery
How to choose a private AI deployment model without overshooting
On-premises, private cloud, controlled hosted. The decision is treated like a preference debate more often than it should be. This is the framework that actually works.
A working threat model for private AI environments
Generic security checklists do not produce useful design. A real threat model names risks the system has to answer for, the design choices that address each, and how to verify the mitigation actually holds.
How to run an AI pilot that does not turn into a demo
The most common failure pattern in private AI is a pilot that ships, impresses leadership, and quietly never becomes a real system. Here is how to keep that from happening.
Want the working version of any of these?
The articles are the public reading. The working artifacts — instantiated against your environment — are what engagements produce.