Retrieval-Augmented Generation (RAG) is the industry standard right now because it solves the biggest flaw in AI: it stops models from hallucinating by forcing them to look at your actual data first.
This AI Agent learns from your product documentation and resolved tickets, then drafts accurate answers to new tickets with citations showing exactly where each part came from — so your team can verify in seconds. If it isn't confident, it hands the ticket to a human instead of guessing, meaning faster replies for customers and no repeat work for your team.
How it works:
- The user submits a query through the chat interface.
- The AI agent searches the existing knowledge base and relevant Salesforce support tickets to find the most relevant information.
- It drafts a response and sends it back to the user.
- The user can continue the conversation by asking follow-up questions, and the AI responds using the previous context.