A deep technical walkthrough of an architecture that uses Salesforce as the UI/workflow layer and Snowflake as the intelligence backend for CRM. The approach embeds enriched data, AI-generated insights, and multi-step agent workflows directly into Salesforce without copying data into static CRM fields. Key engineering details include a hybrid LWC + Vue 3 UI using Rollup bundling and Tailwind CSS, cursor-based pagination to handle large datasets within Salesforce governor limits, a three-phase progressive loading strategy achieving 98% faster time-to-interaction, a multi-tier caching system reducing repeat load times from 6.5s to under 2s, and three integration patterns for connecting Apex to Snowflake (direct SQL API, custom backend, Cortex AI REST APIs). Snowflake Cortex provides LLM summarization, natural-language-to-SQL via Cortex Analyst, semantic search, and AI agents for multi-step account workflows.
Table of contents
The Premise: Beyond Putting More Data into CRMThree Ways to Bring Intelligence into SalesforceThe ArchitectureWhy the Experience Layer MattersSort: