Sovereignty Control Ladder
Last updated: 2026-08-14
The sovereignty control ladder records one row per AI layer: data residency, compute, models, talent, and governance. Each row states the control posture, the rationale, the annual cost, and the exit or alternative if the dependency fails. The exit column is the one most often skipped and the one that matters most.
Sovereignty decisions are usually made implicitly, one procurement at a time, and only become visible when a dependency fails. The ladder makes the choices explicit and priced.
The template
Complete one row per layer. The right hand column is the one that gets skipped and matters most.
| Layer | Control posture | Rationale | Annual cost | Exit or alternative if dependency fails |
|---|---|---|---|---|
| Data residency | Hold, share, or accept | |||
| Legal jurisdiction of operator | ||||
| Operating personnel | ||||
| Network path | ||||
| Compute location | ||||
| Model weights | ||||
| Right to modify |
Posture definitions. Hold means the state controls it directly. Share means joint control under binding agreement, including regional arrangements. Accept means external dependency with a documented exit.
How to use it
- Complete one row per layer rather than making a single overall sovereignty judgement.
- Price each posture annually. A posture without a cost is a preference, not a decision.
- Complete the exit column for every row. It is routinely skipped and it is where the actual risk sits.
- Review when a dependency changes ownership, jurisdiction, or pricing model.
This template comes from the Sovereign AI Strategy: A Practical Playbook, which sets out the reasoning behind it, the rules of thumb that govern its use, and the signals that tell you the approach is failing. The full playbook is also available as Markdown. See all AI governance templates.