> For the complete documentation index, see [llms.txt](https://raia2.gitbook.io/raia/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://raia2.gitbook.io/raia/introduction/welcome-to-raia/core-capabilities-of-raia.md). # Core Capabilities of raia #### **No-Code AI Agent Creation (raia Command)** Spin up an AI agent in minutes with zero coding using **raia Command**, your central platform for building, training, and managing AI Agents. \ **What it does:** Provides a step-by-step command center where you can create, test, and refine your agents without technical expertise. \ **Why it matters:** Makes enterprise-grade AI accessible to any team and accelerates deployment from concept to live operation. *** #### **Multi-Channel Communication (raia Chat)** Connect instantly with customers and users across **live chat, SMS, email, or voice**—all from one interface. \ **What it does:** raia Chat enables seamless two-way communication between your AI Agents and your customers through your website or preferred channels. \ **Why it matters:** Ensures your AI Agents are available 24/7, wherever your customers are. *** #### **Human-in-the-Loop + Feedback Training (raia Copilot)** Empower your team to supervise, guide, and continuously improve your AI Agents through **raia Copilot**. \ **What it does:** Allows human oversight of live conversations, lets users take over when needed, and feeds feedback directly into agent training. \ **Why it matters:** Builds confidence, enhances accuracy, and ensures every AI interaction aligns with your brand and quality standards. *** #### **Connected Knowledge + Data Integration (raia Connect)** Fuel your AI Agents with accurate, up-to-date knowledge using **raia Connect**. \ **What it does:** Connects your business data, files, and documents directly to your AI Agents for training and context awareness. \ **Why it matters:** Keeps your AI informed with the latest information, improving precision and relevance in every response. *** #### **AI-Powered Campaign Automation (raia Control)** Activate your agents at scale with **raia Control**—the command hub for AI-driven SMS and email campaigns. \ **What it does:** Launch and manage automated outreach programs where your AI Agents converse directly with customers, prospects, or employees. \ **Why it matters:** Turns static campaigns into dynamic, two-way conversations that drive engagement and conversions. *** #### **Enterprise-Grade Security and Compliance** Built on a **SOC2-compliant infrastructure**, raia ensures enterprise-level protection for every interaction and integration. \ **What it does:** Provides encryption, access controls, and complete audit trails across all raia applications. \ **Why it matters:** Trusted by regulated industries where privacy, compliance, and data protection are non-negotiable. *** #### **Pre-Built Skills + Industry Packs** Accelerate your agent creation with **ready-to-use Skills and Packs** tailored for your industry. \ **What it does:** Equips agents with preconfigured communication abilities, workflows, and domain-specific knowledge. \ **Why it matters:** Launch agents faster, maintain consistency across teams, and adapt effortlessly as your business evolves. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://raia2.gitbook.io/raia/introduction/welcome-to-raia/core-capabilities-of-raia.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.