Should your enterprise AI architecture live entirely inside Salesforce—or should Salesforce connect to your own AI stack?
In Episode 2 of the Case Rezolver Podcast, we break down one of the biggest architecture decisions facing Salesforce customers today: native Salesforce AI vs. bringing your own AI stack.
We explore how enterprises can keep Salesforce as the system where service teams work while maintaining flexibility over the AI infrastructure underneath—including LLMs, vector databases, RAG, orchestration layers, private cloud infrastructure, and enterprise knowledge sources.
In this episode, we discuss:
• Native Salesforce AI vs. external enterprise AI architecture
• Why “native to Salesforce” doesn’t have to mean AI vendor lock-in
• How Salesforce, Case Rezolver, RAG, vector databases, and LLMs can work together
• How Retrieval-Augmented Generation (RAG) uses enterprise knowledge to improve AI responses
• Using OpenAI, Azure OpenAI, Anthropic, or privately hosted LLMs with Salesforce
• How abstraction and orchestration layers reduce AI integration complexity
• Enterprise AI security, permissions, data residency, logging, and data retention
• Why permission-aware retrieval matters for AI security
• How model selection affects enterprise AI cost
• Why different AI tasks may require different models
• How enterprises can design an AI architecture that can evolve as models change
We also walk through a real-world case-resolution architecture:
Salesforce → Case Rezolver → Retrieval / Enterprise Knowledge → LLM → Grounded Recommendation → Salesforce Agent Workflow
The goal isn’t to argue that native Salesforce AI or an external AI stack is universally better.
The better question is:
What combination of Salesforce, enterprise data, retrieval, orchestration, security controls, and AI models gives your organization the right balance of user experience, intelligence, security, cost, and flexibility?
If you're a CIO, CTO, Salesforce Architect, Service Cloud leader, enterprise AI architect, or technology leader evaluating Agentforce, RAG, LLMs, or AI-powered customer service, this episode will help you think through the architecture decisions behind production enterprise AI.
About Case Rezolver
Case Rezolver is a Salesforce-native AI case-resolution assistant designed to help service teams use enterprise knowledge, historical case resolutions, and AI to resolve customer issues faster—while giving enterprises flexibility over their underlying AI architecture.
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