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Building industry specific AI agents is now easier than ever with Microsoft 365 Copilot Studio especially when combined with Retrieval Augmented Generation (RAG). In this blog, we’ll walk through how to create a RAG powered Motorcycle Expert AI Agent designed for motorcycle store owners who manage large inventories and need to support both customers and sales representatives.

In this example there is a dealership with 200+ motorcycles and this agent helps streamline customer inquiries, improve product comparisons, and empower your sales team with accurate, data‑driven responses.

This step‑by‑step guide shows you how to:

• Design and prepare your motorcycle dataset
• Connect SharePoint/OneDrive as your knowledge source
• Configure RAG settings inside Copilot Studio
• Shape the agent’s persona and behavior
• Add comparison logic for models and categories
• Enable advanced features like deep reasoning and generative orchestration
• Test and publish the agent with proper security and moderation settings

By the end of this tutorial, you’ll have a fully operational Motorcycle Expert AI Agent running inside Microsoft 365 Copilot Chat, Teams, or web capable of answering questions, comparing models, and delivering expert insights using your actual business data.

The agent will:

• Answer questions about motorcycles (models, categories, specs, use cases)
• Compare models (e.g., “MT07 vs SV650 for commuting?”)
• Use your own data (spreadsheets, docs, or SharePoint lists) as its primary knowledge source
• Run inside Microsoft 365 Copilot Chat / Teams / web