> ## Documentation Index > Fetch the complete documentation index at: https://docs.flowx.ai/llms.txt > Use this file to discover all available pages before exploring further. # AI in FlowX > AI agents for every stage - config-time agents help you build apps faster, while business agents power intelligent experiences for your end-users. FlowX AI Platform provides intelligent agents across your entire application lifecycle. Whether you're building apps or running them, AI agents accelerate your work and enhance user experiences.

*** ## Two types of AI agents FlowX provides agents for different stages of your application lifecycle: ```mermaid theme={"system"} flowchart LR subgraph config [Config Time] Designer[FlowX Designer + Config Agents] end subgraph build [Build] AB[Agent Builder] MP[Marketplace] end subgraph runtime [Runtime] BA[Business Agents] --> Users[End Users] end Designer -.->|help build| AB AB --> BA MP --> BA ``` **Help you build apps faster** AI assistants embedded in FlowX Designer that help developers and business analysts create processes, UIs, and business rules. Used by: Designers, developers, analysts **Power your end-user experiences** AI agents that run inside your applications, interacting with customers and employees to automate tasks and provide intelligent assistance. Used by: Your customers and employees *** ## Config-time agents These agents are built into FlowX Designer to accelerate app development: Build and optimize BPMN processes using AI to generate, validate, and enhance workflows Answer questions about FlowX platform and your organization based on documentation Convert natural language prompts, Figma designs, or sketches into UI layouts Generate business rules and code expressions using natural language

Detailed documentation for each config-time agent *** ## Business agents Agents that power intelligent experiences for your end-users. You have two options: ### FlowX accelerators Pre-built business agents created by FlowX, ready to deploy: * Industry-specific solutions for banking, insurance, and more * Tested and optimized for common use cases * Deploy immediately or customize to your needs ### Custom agents Use **Agent Builder** to create AI agents tailored to your specific business processes: * **Document processing** - Extract data from forms, contracts, and statements * **Content generation** - Create personalized communications and reports * **Decision support** - Analyze data and provide recommendations * **Conversational AI** - Build chat-based customer interactions Create custom AI agents for your specific business needs *** ## Integrating agents into apps Once you have business agents (custom or from marketplace), integrate them into your applications: Conversational UI for end-users Trigger agents from workflows Programmatic integration *** ## Enterprise security

All FlowX AI agents are built for banking-grade security: | Security feature | Description | | ---------------------------- | ---------------------------------------------------------------------- | | **Zero-trust model** | All components authenticate each other, preventing unauthorized access | | **Input/output scanning** | Detect prompt injection, ban sensitive substrings, sanitize outputs | | **Custom fine-tuned models** | Purpose-built models with curated data for each use case | | **Human oversight** | Human-in-the-loop controls for ethical decision-making | *** ## Personal data protection FlowX ensures personal data never reaches AI models by design through controlled data ingestion, deterministic workflows, and encryption options. ### Data ingestion paths Personal data enters the platform through three channels: | Channel | Data handling | | ------------------ | ----------------------------------------------------------------------------------------------------------------------------------------- | | **Forms / UIs** | Input data mapped directly to the process data model | | **3rd party APIs** | API responses mapped to the process data model | | **Documents** | Structured docs (Word, Excel) have fields mapped automatically; unstructured docs require OCR extraction with optional human verification | For unstructured documents containing sensitive data, a human operator can verify extracted data accuracy before it's mapped to the data model. ### Data storage All ingested data ends up in **data models** - JSON collections stored in FlowX databases: * Data models are only accessible to deterministic business process steps * Process logic controls when, how, and which data is sent to AI steps * This ensures **no personal data is sent to AI by design** ### Protection options | Option | Description | | -------------------------- | -------------------------------------------------------------------------------------------------------------------------------- | | **Database encryption** | Encrypt data at rest using database capabilities (e.g., pgcrypto in PostgreSQL) - prevents administrator access to business data | | **Sensitive data masking** | Mark specific data model fields as sensitive to hide them in UIs and console outputs | | **Custom guardrails** | Additional guardrails can be enforced in AI workflows | Learn about process data models Configure sensitive data masking *** ## Hallucination prevention

| Technique | Purpose | | ---------------------------- | --------------------------------------------------------------- | | **RAG** | Ground responses in reliable external data sources | | **Multi-agent architecture** | Dedicated agents for specific tasks with specialized processing | | **Structured outputs** | Enforce JSON outputs for consistent, parseable responses | | **Model evaluation** | Continuous testing to find optimal models for each task | | **Prompt tuning** | Task-specific prompts to enhance accuracy and relevance | *** ## Related resources Technical reference for chat integration Connect agents to knowledge bases and external systems Configure AI Platform for your environment Integration patterns and best practices