Generative CRM over Salesforce Headless 360 MCP

This technical and operational case study examines a Generative CRM architecture over Salesforce Headless 360 MCP, in which the conventional fixed CRM interface is decoupled from the governed enterprise platform and replaced by an intent-driven, runtime-generated user experience. Using a Salesforce development sandbox and synthetic or sanitised case data, the proof of concept demonstrates how an MCP-aware AI client can interpret natural-language operational intent, retrieve authorised Salesforce context, dynamically construct and reshape a service command center, support case-level investigation, and facilitate controlled CRM actions while Salesforce remains the authoritative system of record and execution. The study analyses the architecture across the experience, reasoning, MCP integration, Salesforce governance, and transaction layers. Particular attention is given to OAuth-based named-user authentication, Salesforce object and field-level permissions, sharing controls, metadata grounding, read/write authority, human-in-the-loop approval, auditability, prompt-injection risk, and operational failure handling. The case further demonstrates how the same governed CRM environment can support multiple transient interfaces without requiring each operational question to be implemented as a predefined Salesforce page, dashboard, or custom component. The findings from the proof of concept suggest an emerging enterprise interaction model in which the CRM platform remains persistent and governed while its user interface becomes contextual, generative, and potentially transient. The study does not claim production performance improvements or propose the replacement of conventional Salesforce interfaces. Instead, it establishes a technically bounded architecture and operational framework for evaluating Generative CRM alongside existing enterprise application experiences.