AgentforceArchitect (Hardest)build-vs-buyarchitecturellm
Compare building custom LLM integrations vs native Agentforce
Real World Scenario
Engineering proposes a custom Azure OpenAI chatbot integrated via Heroku instead of Agentforce add-ons.
Expected Answer
• Native Agentforce provides Trust Layer, action framework, CRM context, and Salesforce support alignment
• Custom build offers model choice and deep customization at cost of security/compliance ownership
• TCO includes prompt ops, hosting, monitoring, and Salesforce integration maintenance
• Time-to-value faster with Agentforce for standard service/sales use cases
• Hybrid: Agentforce for CRM-bound actions, external LLM for specialized reasoning with strict gateways
• Evaluate build when requirements exceed platform roadmap with executive risk acceptance
Follow-Up Questions & Answers
Click to expand — each follow-up includes a direct, interview-ready answer
Direct answer: Native Agentforce provides Trust Layer, action framework, CRM context, and Salesforce support alignment Also consider: Custom build offers model choice and deep customization at cost of security/compliance ownership In practice: TCO includes prompt ops, hosting, monitoring, and Salesforce integration maintenance Document the decision in an ADR and align with enterprise standards.
Architect Perspective
Build custom only with clear capabilities Agentforce lacks and budget for permanent platform team—not as default developer preference.