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.

AI Platform · FlowX.AIAI agents for every stage.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.

Explore Agent BuilderPre-built agents

01 · Agent types

Two types of AI agents

FlowX provides agents for different stages of your application lifecycle:

01 · config timeFlowX DesignerConfig-time agents help you build processes, UIs, and business rules.

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02 · buildAgent Builder · MarketplaceCreate custom business agents or start from pre-built accelerators.

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03 · runtimeBusiness agentsRun inside your apps, serving your customers and employees.

01Config-time agentsHelp 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.

02Business agentsPower your end-user experiences. AI agents that run inside your applications, interacting with customers and employees to automate tasks and provide intelligent assistance.

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02 · Config time

Config-time agents

These agents are built into FlowX Designer to accelerate app development:

01AnalystBuild and optimize BPMN processes using AI to generate, validate, and enhance workflows.02AssistantAnswer questions about FlowX platform and your organization based on documentation.03DesignerConvert natural language prompts, Figma designs, or sketches into UI layouts.04DeveloperGenerate business rules and code expressions using natural language.

See config-time agents in action

For detailed documentation on each config-time agent, see the pre-built agents overview.

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03 · Runtime

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:

documentsExtract data from forms, contracts, and statements.

contentCreate personalized communications and reports.

decisionsAnalyze data and provide recommendations.

conversationsBuild chat-based customer interactions.

→Agent BuilderCreate custom AI agents for your specific business needs.

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04 · Integrate

Integrating agents into apps

Once you have business agents (custom or from marketplace), integrate them into your applications:

01Chat interfaceConversational UI for end-users.02BPMN integrationTrigger agents from workflows.03API accessProgrammatic integration.

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05 · Security

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

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06 · Data protection

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

Data Model

Learn about process data models

Sensitive Data

Configure sensitive data masking

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07 · Reliability

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

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08 · Resources

Related resources

01Chat componentTechnical reference for chat integration.02AI integrationsConnect agents to knowledge bases and external systems.03AI Platform setupConfigure AI Platform for your environment.04Using agentsIntegration patterns and best practices.