> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sigmamind.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Build Conversational AI Agents for Customer Support

SigmaMind AI is a **no-code/low-code AI agent platform** designed to automate **customer support** across channels—**Email, Chat, Voice, Social, SMS**. This guide walks you through how to build, test, and deploy AI agents for common e-commerce use cases like **order status**, **cancel subscription**, and **returns**.

***

## 🚀 1. Platform Overview

SigmaMind offers two operational modes:

* **Autopilot**: Fully autonomous. AI reads tickets, drafts responses, performs actions (e.g. cancel order), and sends replies automatically.
* **Co‑pilot**: AI drafts responses, but human agents review and send them.

> 🧠 Use Autopilot for high-confidence, low-risk queries (e.g. shipping status), and Co‑pilot for edge cases or brand-sensitive queries.

***

## 🔌 2. Key Integrations

* **Shopify**: Access products, orders, subscriptions, customer data.
* **Helpdesk Platforms**: Zendesk, Gorgias, Gladly, Genesys — fetch tickets, respond, auto-tag or close.
* **Others**: Recharge (subscriptions), Loop Returns, Skio, etc.

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## 🤖 3. Agent Capabilities

* Answer common queries: order status, shipping, returns.
* Perform actions: cancel orders, pause subscriptions.
* Suggest products or upsells.
* Automatically tag, escalate, or close tickets.
* Works across Email, Chat, Voice, SMS, and Social.

***

## 🧩 4. Agent Building Workflow

### A. Prerequisites

* Shopify store connected.
* Gorgias/Zendesk account linked.
* SigmaMind AI account with access to Agent Builder.

### B. Connect Data Sources

1. Login to [SigmaMind Dashboard](https://dashboard.sigmamind.ai).
2. Go to **App Integrations** → Connect:
   * Shopify
   * Optional: Recharge, Loop Returns
3. Connect Helpdesk (Gorgias/Zendesk)

### C. Training and Tuning

Upload FAQs, help docs, and real training conversations into the SigmaMind AI dashboard.

Use brand voice settings to configure:

* Formality
* Tone
* Personalization level

***

## ⚙️ 5. Building with Use Case Examples

### ✅ Use Case: **Order Status**

1. **Intent**: User asks “Where is my order?”
2. **Trigger**: New ticket with intent like “where is my order.” or "Inquiry about order status."
3. **Workflow**:
   * AI fetches recent order from Shopify.
   * Response generated: “Hi Sarah! Your order #12345 was shipped on June 24 via FedEx. Here's your \[tracking link].”
4. **Mode**: Autopilot (can send directly).
5. **Action**: None (info only).

### 🛑 Use Case: **Cancel Subscription**

1. **Intent**: “Please cancel my subscription.”
2. **Trigger**: Intent with "Request to Cancel Subscription” or "Request to cancel recurring order"
3. **Workflow**:
   * AI calls Recharge API to cancel subscription.
   * Response: “Hi James, your subscription has been successfully canceled. You won’t be charged moving forward.”
4. **Mode**: Autopilot or Co‑pilot (depending on risk).
5. **Action**: API call to Recharge → Cancel.

### 🔁 Use Case: **Initiate Return**

1. **Intent**: “I want to return my order.”
2. **Trigger**: Ticket with intent “request to return order”
3. **Workflow**:
   * AI checks return eligibility via Shopify.
   * If valid, generates a Loop Returns link.
   * Response: “Sure! You can initiate your return here: \[return portal link].”
4. **Mode**: Autopilot.
5. **Action**: Shopify + Loop Returns coordination.

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## 🧪 6. Testing Agents

### A. Simulate Conversations

1. Go to **Agent Builder → Test Playground**.
2. Simulate incoming ticket/message.
3. AI previews draft with response and actions.
4. Review response accuracy, tone, and logic path.

### B. Preview Actions

* Preview connected app calls (e.g. cancel subscription).
* Validate that payloads and execution match expectations.
* Set to **sandbox enviroment** during tests to avoid real-world changes.

***

## 🚀 7. Deployment & Monitoring

Once configured, enable the agent.

Monitor key performance metrics:

* % of tickets auto-resolved
* CSAT (customer satisfaction) scores
* Average resolution time

Adjust workflows and training materials as needed based on agent performance.

***

## 🤝 8. Developer/Partner Integration

SigmaMind AI supports a **Certified Partner Program**, enabling agencies to build branded conversational agents for clients with:

* Training
* Certifications
* Co-marketing support

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## ✅ 9. Best Practices

* **Start Small**: Launch with Co‑pilot on high-volume FAQs.
* **Iterate**: Analyze auto-resolution errors, refine triggers and training.
* **Brand Consistency**: Use consistent tone via brand voice settings.
* **Guardrails**: Escalate complex or high-value cases to human agents.
* **Metrics**: Track automation rate, CSAT, resolution time, and saved agent hours.

***

## 🎯 10. Summary

SigmaMind AI empowers developers and customer support teams to build scalable, brand‑aware AI agents with **no-code workflows**, powerful integrations (Shopify, Gorgias, etc.), and flexible response modes.

Whether you want full automation (**Autopilot**) or decision support (**Co‑pilot**), SigmaMind’s platform enables **rapid deployment** and **continuous learning** for high-volume customer support.