Model-Selection Policy
A model-selection policy is an organization's documented rule set for choosing which AI model handles which task — defining the default model, approved fallbacks, and the criteria (capability, cost, latency, capacity, governance) for routing between them. After Anthropic overtook OpenAI as the most valuable AI startup in May 2026, many enterprises re-baselined these policies, making Claude a default without an uphill justification while keeping multi-model routing to avoid single-vendor risk.
Deep Dive: Model-Selection Policy
A model-selection policy is an organization's documented rule set for choosing which AI model handles which task — defining the default model, approved fallbacks, and the criteria (capability, cost, latency, capacity, governance) for routing between them. After Anthropic overtook OpenAI as the most valuable AI startup in May 2026, many enterprises re-baselined these policies, making Claude a default without an uphill justification while keeping multi-model routing to avoid single-vendor risk.
Implementation Details
- Tech Stack
- Production-Ready Guardrails