JEV and GPT-6 Luna produced the same final classification across 17 Email-to-Case samples. The real difference appeared in cost, evaluation, Question Contracts, Evidence Contracts, and where business authority remained.
A confidence score makes an automation rule look easy. My JEV email classification PoC showed why the score must first be tested against outcomes and weighed against the consequences of a wrong decision.
MCP does not require a rebuild of stable REST APIs. The architectural choice is how to expose each capability to agents through OpenAPI, vendor hosted MCP, or a shared custom MCP surface.
How Salesforce Email-to-Case classification can turn production corrections and outcomes into validated evaluation data, governed improvement proposals, and a safer closed loop.
A practical Salesforce Email-to-Case design for changing customer intent inside one thread: let AI interpret meaning, use human acceptance as the transaction boundary, and keep state changes deterministic.
A practical look at Salesforce Email-to-Case AI classification: keep the implementation bounded, reuse the workflow that already works, and observe what happens after the prediction.