AI Agentflows
Build intelligent conversational experiences that understand context, use tools, and automate complex interactions with natural language.
AI Agentflows
Transform conversations into intelligent automation. Create AI agents that understand natural language, access your data, use tools, and handle complex multi-step interactions—no coding required.
New to conversational AI? Start with our Getting Started guide to build your first intelligent agent in minutes.
How It Works
AI Agentflows follow a simple conversational pattern: input → reasoning → action → response
- Input: User sends a message or system triggers the agent
- Reasoning: AI understands context, accesses memory, and decides next steps
- Action: Agent uses tools, queries data, or calls other agents as needed
- Response: User receives helpful answer and systems are updated automatically
Think of AI Agentflows as smart assistants that can hold meaningful conversations while performing real work.
What You Can Build
| Department | Use Case | Agent Example |
|---|---|---|
| Customer Service | 24/7 Support Chat | Customer inquiry → AI analyzes issue → provides solution from knowledge base → creates ticket if escalation needed |
| Order Status Tracking | "Where's my order?" → AI identifies customer → looks up order data → provides detailed tracking info | |
| Sales | Lead Qualification | Prospect visits → AI engages conversation → qualifies budget/needs → schedules demo with sales team |
| Product Recommendations | Customer describes needs → AI analyzes requirements → suggests relevant products → provides pricing quotes | |
| HR | Employee Onboarding | New hire question → AI provides policy info → creates access requests → schedules training sessions |
| Benefits Assistant | "How much vacation do I have?" → AI checks employee record → calculates remaining days → explains policy details | |
| Operations | IT Help Desk | User reports issue → AI diagnoses problem → provides step-by-step fix → creates ticket for complex issues |
| Process Guidance | "How do I submit expenses?" → AI guides through process → helps complete forms → submits for approval | |
| Finance | Invoice Processing | Invoice question → AI retrieves payment status → explains approval workflow → notifies relevant parties |
| Marketing | Content Assistant | "Create campaign copy" → AI analyzes brand guidelines → generates content variants → saves to asset library |
Agentflow Types
AI Agents
Perfect for conversational experiences
Handle customer interactions, provide support, and automate dialogue-driven processes.
Sub-Agents
Built for specialist tasks
Create focused agents for specific domains that can be called by other agents when needed.
Guardrail Agents
Designed for safety and compliance
Monitor conversations, enforce policies, and ensure appropriate responses.
AI Agents
Perfect for conversational experiences
Create intelligent chat interfaces that understand context and maintain conversation memory. Use AI Agents when you need to:
- Handle customer service inquiries
- Provide interactive product support
- Guide users through complex processes
- Offer personalized recommendations
- Maintain context across conversation turns
Example: Customer asks "I need to return my order" → Agent identifies customer → retrieves order history → explains return process → generates return label → schedules pickup
Sub-Agents
Built for specialist tasks
Design focused agents for specific domains that other agents can delegate to. Use Sub-Agents when you need to:
- Create specialist expertise areas
- Build reusable conversation components
- Handle complex multi-step workflows
- Coordinate between different business domains
- Maintain consistent specialist knowledge
Example: General support agent receives technical question → identifies need for technical expertise → hands off to Technical Sub-Agent → specialist provides detailed solution
Guardrail Agents
Designed for safety and compliance
Implement safety controls and policy enforcement in your conversational flows. Use Guardrail Agents when you need to:
- Monitor conversation content for appropriateness
- Enforce company policies and guidelines
- Filter sensitive information
- Ensure compliance with regulations
- Maintain conversation quality standards
Example: Customer conversation → Guardrail Agent monitors content → detects policy violation → blocks inappropriate response → logs incident for review
Using AI Agentflows with Workflows
Combine conversational AI with business automation for comprehensive solutions
- Conversation + Action: Agent gathers customer requirements → triggers Workflow to process order and update systems
- Smart Routing: Support Agent qualifies issue complexity → Workflow creates appropriate tickets and assigns to specialist teams
- Follow-up Automation: Sales Agent completes consultation → Workflow sends personalized proposals and schedules follow-up calls
Real-world scenario: Customer chats about billing issue → Agent diagnoses problem → identifies refund needed → triggers Workflow to process refund, update account, and send confirmation email
Key Features
Getting Started
Ready to build your first intelligent agent? Follow these steps to get started:
1. Plan Your Agent
Identify the conversation you want to automate and define the user experience you want to create
2. Choose Agent Type
Select from AI Agent, Sub-Agent, or Guardrail options based on your use case requirements
3. Configure Intelligence
Set up language model, system prompts, and conversation behavior for your specific needs
4. Connect Tools & Data
Add knowledge bases, API integrations, and tool connections to extend agent capabilities
5. Test & Deploy
Validate with real conversations, refine responses, and publish to production environments
For detailed step-by-step instructions on building agents, see our Build section documentation.