How to Safely Compare AI Text Classification APIs Using Tenant-Based Migration

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A software engineering approach outlines a structured method for comparing OpenAI, Claude, and Gemini text classification APIs without disrupting live CRM workflows. The design migrates one tenant cohort at a time, keeping only a single authoritative path permitted to write CRM actions while candidate models run in shadow mode returning validated JSON. Output is restricted to a closed vocabulary of predefined tags, and any malformed or unrecognized responses are rejected before comparison begins. Per-tenant cost tracking is maintained throughout by recording production and shadow usage separately under the same tenant ID with different workload classes. Regional data processing policies and model permissions are tied to cohort state rather than prompt configuration, making the migration auditable and testable at each stage.

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