Model-Agnostic Strategy
Definition
An AI strategy built so the organization can swap the underlying model - GPT, Claude, Gemini, or open-weight alternatives - without rebuilding its workflows. Model-agnostic design keeps the durable assets in the organization's hands: process maps, task segmentation, governance rules, and evaluation data. The model is treated as a replaceable component, which protects against vendor lock-in and against betting the roadmap on whichever AI lab is ahead this quarter.
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