Kamiwaza's platform mitigates AI provider volatility risk. It decouples application logic from models to ensure portability.
When the Pentagon designated a major AI provider a supply chain risk, it exposed a category of risk most organizations haven't designed for: provider volatility. Geopolitical decisions, model deprecations, licensing changes, and compute shortages can all force a provider switch with little warning - and when AI is deeply embedded in application logic, a forced model swap becomes a costly requalification event, not a configuration change. This paper makes the case for building AI on a model-agnostic API layer with portable orchestration assets. Because Kamiwaza abstracts the model invocation layer, the same API and SDK work across private and hosted models; when the model changes, your application code doesn't. Kamiwaza is silicon, cloud, data, and model agnostic by design, with inventory and substitution readiness, workflow portability, and structured requalification built in. The goal: integrate deeply for productivity, but stay portable enough to route and continue when the landscape shifts. Download the paper to learn more.