# Course Goal {% embed url="" %} To equip new raiaLabs team members with the knowledge and skills to effectively build, train, and deploy AI agents using the raiaAI platform, with a focus on creating high-quality instructions, managing knowledge bases, and automating workflows. ### Foundation: Understanding Agent Types and Use Cases This foundational module introduces the three main categories of AI agents that raiaLabs typically builds for clients. Understanding these agent types is crucial for making informed decisions about training approaches, channel deployment, and business integration strategies. #### Agent Type 1: Support Agent (General Knowledge) **Primary Function:** Support Agents serve as the first line of customer service, handling general inquiries, troubleshooting common issues, and providing information from the company's knowledge base. These agents are designed to resolve routine customer questions efficiently while escalating complex issues to human representatives. **Typical Deployment Channels:** * **Copilot**: Used by human support representatives to draft responses and access information quickly * **Live Chat**: Direct customer interaction on websites and customer portals * **Email**: Automated email response handling and ticket management **Key Characteristics:** * Broad knowledge base covering multiple topics and departments * Focus on accurate information retrieval and clear communication * Strong escalation protocols for issues beyond their scope * Emphasis on maintaining consistent brand voice and customer experience **Common Use Cases:** * Answering frequently asked questions about products or services * Providing account information and status updates * Guiding customers through basic troubleshooting procedures * Explaining company policies and procedures * Collecting initial information for complex support tickets **Training Considerations:** * Requires comprehensive knowledge base covering all customer-facing information * Needs clear routing instructions to handle diverse query types * Benefits from extensive FAQ and troubleshooting documentation * Requires strong fallback and escalation procedures #### Agent Type 2: Sales Agent **Primary Function:** Sales Agents are designed to engage prospects and customers throughout the sales process, from initial lead qualification to closing deals. These agents can handle both inbound inquiries and outbound sales activities, adapting their approach based on the customer's stage in the sales funnel. **Typical Deployment Channels:** * **Outbound SMS**: Proactive outreach to leads and prospects * **Email**: Follow-up sequences, nurture campaigns, and sales correspondence * **Inbound Live Chat**: Engaging website visitors and qualifying leads in real-time **Key Characteristics:** * Persuasive communication style focused on conversion * Deep understanding of products, pricing, and competitive advantages * Ability to qualify leads and identify sales opportunities * Integration with CRM systems for lead tracking and management **Common Use Cases:** * Lead qualification and scoring * Product demonstrations and feature explanations * Pricing inquiries and quote generation * Appointment scheduling with sales representatives * Follow-up on abandoned carts or incomplete applications * Nurturing prospects through email sequences **Training Considerations:** * Requires detailed product knowledge and competitive positioning * Needs sales methodology and objection handling techniques * Benefits from customer persona and buyer journey documentation * Requires integration with sales tools and CRM systems #### Agent Type 3: Analyst Agent **Primary Function:** Analyst Agents operate behind the scenes within automated workflows, processing data, generating reports, and making decisions based on predefined criteria. These agents rarely interact directly with customers but play crucial roles in business operations and data analysis. **Typical Deployment Channels:** * **Workflow Integration**: Embedded within n8n or other automation platforms * **API Endpoints**: Called by other systems to perform analysis or processing * **Scheduled Tasks**: Running automated reports and data processing jobs **Key Characteristics:** * Data-focused with strong analytical capabilities * Designed for accuracy and consistency in processing * Integration with multiple data sources and business systems * Minimal need for conversational abilities, maximum need for precision **Common Use Cases:** * Lead scoring and qualification based on behavioral data * Report generation and data summarization * Content analysis and categorization * Risk assessment and compliance checking * Data validation and quality assurance * Automated decision-making within business processes **Training Considerations:** * Requires structured data and clear decision criteria * Needs comprehensive understanding of business rules and processes * Benefits from examples of edge cases and exception handling * Requires integration documentation for data sources and outputs --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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