Agnostic Selection

Selection only becomes a real decision when switching is cheap. Where it is expensive, the organization standardizes and defends the standard, and the choice calcifies into an assumption nobody revisits. Where switching is a configuration change, selection becomes routine optimization — a bulk summarization task routed to an inexpensive model, a nuanced reasoning task to a strong one, anything touching regulated material to a local one. The same mechanism provides continuity: a provider outage, a price change or a jurisdictional restriction is absorbed by changing a setting.

Centralpoint selects at runtime across OpenAI, Anthropic, Google Gemini and Microsoft Copilot, alongside embedded Llama, Qwen and ONNX. Because the index, prompts and skills are provider-independent, no selection requires re-indexing or rule rewriting, and adaptations for new providers ship every two weeks across all deployment modes.