Hybrid AI architecture lets small teams keep sensitive data local while still using cloud AI tools for everyday tasks, and it’s more achievable than most assume.
Hybrid AI architecture lets small teams keep sensitive data local while still using cloud AI tools for everyday tasks, and it’s more achievable than most assume.
Running a local AI model keeps your data off third-party servers, but the hardware, model selection, and governance decisions are more involved than most organisations expect.
Procurement teams are signing AI vendor contracts without knowing what to ask, and the gaps that creates can surface as compliance failures, data incidents, or operational surprises months later.
AI sovereignty has moved from academic and policy discussions into practical governance conversations with unusual speed. It appears in procurement requirements, regulatory guidance, and board-level AI risk discussions with increasing frequency. Like most terms that achieve rapid adoption, it gets used to mean several related but distinct things, and that ambiguity creates confusion when organisations […]
Public AI vs private AI has become a standard feature of governance conversations, and it is a useful distinction when understood correctly. The problem is that many organisations apply it in ways that are either too simple to be accurate, or rest on assumptions about what “private AI” means that do not survive scrutiny. Getting […]
For organisations at the early stages of AI governance, policies and approved tool lists are the right starting point. They establish the framework, set expectations, and create the basic structure governance requires. For many organisations at this stage, that is enough. As AI adoption scales – more tools in use, more workflows incorporating AI, more […]
Banning ChatGPT is one of the most common first responses when AI governance concerns reach board or leadership level. Block it at the network level. Prohibit consumer AI platforms. Issue a policy statement that staff should not use AI tools for work until further notice. It feels like a decisive governance response. In practice, it […]
A secure AI gateway starts from an uncomfortable premise: you are not deciding whether your employees use AI. That decision has already been made, by your employees, using the tools available to them. What you are deciding is whether that usage happens visibly and with appropriate controls, or invisibly and without any. That reframing changes […]
Mikka is the AI platform we built for ourselves. It runs on a small machine in our own office, it makes decisions about where our data is allowed to go, and it has been quietly doing real work for us for months. We are not writing about it because it is a product. It is […]
