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Model-agnostic architecture: why it's non-negotiable

Depending on a single AI provider is a strategic risk. Here's why your governance layer must be independent of the underlying model.

SP

Steve P.

Research, Hikari Blue · February 10, 2026

In March 2026, the LLM market changes every three months. Building your AI governance on a single model is like building your infrastructure on a single cloud, doable, but dangerous.

The vendor lock-in risk

A company built all their AI supervision around OpenAI-specific APIs. When Anthropic released Claude Opus with better performance, migrating meant rebuilding the entire governance layer. Cost: 6 months and €200K.

The agnostic architecture

At Hikari Blue Ops, the governance layer is decoupled from the model. The audit trail captures decisions regardless of the model. Policies apply to behaviours, not APIs. Monitoring measures results, not tokens. The Kill Switch works with any provider.

Concrete advantages

  • Switch models in one hour, not six months
  • Test multiple models in parallel with the same governance
  • Negotiate provider contracts from a position of strength
  • Avoid technological dependency on a single player

    • Ready to structure your AI governance?

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