FlowGenX dramatically cuts the time from AI concept to working pipeline. Complex data orchestration and agent workflows that used to take weeks of custom engineering are now accessible in days — a real shift in time-to-value for enterprise AI teams.
The Enterprise Platform for Agentic Automation
Build AI agents, workflows, and AI co-workers, connect them to every system, and govern every action — one platform, with execution in your cloud or ours.
250+ Enterprise MCP Connectors
Prompt-to-Production
Human-in-the-Loop
Hybrid Execution
Any AI. Every App. One Governed Engine.
Bring your own AI through Enterprise MCP, use ours in FlowGenX Chat, or hire a Co-worker — every path runs on one engine with one set of connectors, one set of permissions, and one audit trail. Builders operate all of it through Companion.
FlowGenX Companion
Build and operate the platform through conversation
Describe what you want to create. Companion helps you develop agents and workflows, configure integrations, test executions, diagnose failures, and manage deployments — using natural language.
Meet CompanionFlowGenX Chat
AI that works with you
Ask questions across enterprise knowledge, invoke tools and agents, perform multi-step work across connected applications, and schedule recurring routines — from one conversation.
Explore FlowGenX ChatFlowGenX Co-worker
AI that works for you
Publish autonomous AI teammates with an identity, job description, persistent memory, connected tools, standing triggers, and reusable skills. They keep working even when you're offline.
Meet Your Co-workerEnterprise MCP
Bring your own AI. We'll bring the apps.
Give Claude, ChatGPT, Cursor, or any agent framework governed access to 250+ enterprise apps and any internal API — one tool layer, built once, reused by every AI client, workflow, and Co-worker.
Explore Enterprise MCPSee it work
Automate Work Across Your Enterprise
Build agents, workflows, and AI Co-workers that execute real work across customer operations, IT, finance, HR, sales, and back-office processes.
Hire an AI Teammate That Works For You
A Co-worker is a teammate you hire, not a tool you run. It carries its own identity, memory, and standing responsibilities — and publishing one from Chat is a promotion, not a migration.
- An identity colleagues reach in chat and on channels — always on
- Persistent memory, standing triggers, and self-authored automations
- Learns a reusable skill in one run — then 20× fewer steps on every repeat
Your journey with FlowGenX
From the first prompt to a governed AI workforce.
Most teams start with one assistant and one process. FlowGenX is built so that first step and the hundredth run on the same engine — same connectors, same permissions, same audit trail.
No re-platforming between pilot and production. Publishing is a promotion, not a migration.
- 01
Start
Give every employee FlowGenX Chat, or let the AI you already use — Claude, ChatGPT, Cursor — act in your apps through Enterprise MCP. Value on day one, nothing to build.
- 02
Build
Describe the process. Companion designs the agents and workflows, tests them conversationally, and gates every consequential action behind approval.
- 03
Connect
250+ managed connectors, any API imported as a tool, and browser automation for systems with no API — governed once, reused by every agent.
- 04
Hire
When work becomes repeatable, publish it as a Co-worker with its own identity, memory, standing triggers, and self-learned skills.
- 05
Scale
Govern everything from one control plane — permissions, approval tiers, audit — and run it in our cloud, your VPC, or on-premises.
Watch Companion take a real process from a prompt to a governed, audited workflow.
The platform underneath
One platform to build, govern, and execute agentic automation.
Everything Chat, Co-workers, and Enterprise MCP run on. Build and govern in the control plane; run reliably in the execution plane — in our cloud or your environment.
Control Plane
Build, govern, observe
Agent & Workflow Development
Build with prompts, drag-and-drop, or code. Configure tools, knowledge, guardrails, and reusable components without assembling custom infrastructure.
Enterprise MCP & Integration
250+ managed connectors or any API as an agent-ready tool — then expose the same governed tools to Claude, ChatGPT, Cursor, or any framework you bring.
Knowledge & Human Oversight
Ground agents in governed enterprise knowledge with citations. Add approval tiers, escalation paths, and human intervention at any step.
Execution Plane
Run reliably, anywhere
Multi-Agent Orchestration
ReAct, Supervisor, Swarm, and Deep agent patterns — agents that reason, delegate, and communicate over A2A.
Automation Engine
Event-driven, scheduled, batch, API, and browser automations with data transformation, privacy controls, and end-to-end traceability.
Production Execution & Governance
Durable workflows with persistent state, retries, recovery, monitoring, audit trails, authorization, and encryption.
Durable execution
State persists across long-running processes, failures, approvals, and async events — work resumes exactly where it left off.
Resilience by default
Retries with backoff, circuit breakers, dead-letter queues, and compensation built into every run.
Deploy where your data lives
Cloud, private VPC, or on-premises with configurable data residency — managed through one control plane.
The Enterprise MCP Layer for Every Agent
Turn applications, APIs, data, workflows, and internal services into secure tools that any authorized AI agent can discover and use — with authentication, schemas, retries, and execution managed by FlowGenX. Bring your own AI — Claude, ChatGPT, Cursor, any agent framework — or use FlowGenX Chat and Co-workers on the same governed tools.
250+ managed connectors — or import any APIManaged auth, schemas, retries & auditWorks with Claude, ChatGPT, Cursor & any agent frameworkSame tools power FlowGenX Chat & Co-workers
Why Assemble an Agentic Stack When You Can Run One Platform?
Most teams start by stitching together open-source frameworks, point automation tools, and custom infra. Here's what that actually looks like vs. using one platform.
Agent Intelligence
Write custom ReAct loops, tool-calling logic, and retry handling from scratch
ReAct, Swarm, Supervisor, and Deep agent patterns — built in and configurable
Agent Intelligence
Write custom ReAct loops, tool-calling logic, and retry handling from scratch
ReAct, Swarm, Supervisor, and Deep agent patterns — built in and configurable
Tool & API Access
Hand-code each API integration, manage auth tokens and schema changes
250+ managed connectors with schema detection — plus import any API, auto-converted to MCP
Tool & API Access
Hand-code each API integration, manage auth tokens and schema changes
250+ managed connectors with schema detection — plus import any API, auto-converted to MCP
Error Recovery
Build custom retry logic, dead-letter queues, and compensation workflows
Self-healing orchestration with saga patterns, circuit breakers, and auto-retries
Error Recovery
Build custom retry logic, dead-letter queues, and compensation workflows
Self-healing orchestration with saga patterns, circuit breakers, and auto-retries
Multi-Agent Coordination
Custom message passing, no standard discovery, fragile inter-agent wiring
Agent-to-agent protocol with discovery, sync/async execution, and task management
Multi-Agent Coordination
Custom message passing, no standard discovery, fragile inter-agent wiring
Agent-to-agent protocol with discovery, sync/async execution, and task management
Security & Traceability
Secure each API, agent, and tool separately — custom auth, no unified audit trail
Agent Gateway with authentication, authorization, and end-to-end audit across APIs, MCP, and agents
Security & Traceability
Secure each API, agent, and tool separately — custom auth, no unified audit trail
Agent Gateway with authentication, authorization, and end-to-end audit across APIs, MCP, and agents
Production Runtime
Assemble separate schedulers, queues, workers, state stores, and scaling infrastructure
A managed execution plane for agents, workflows, events, and batch processing
Production Runtime
Assemble separate schedulers, queues, workers, state stores, and scaling infrastructure
A managed execution plane for agents, workflows, events, and batch processing
Deployment
Build separate infrastructure for cloud, private-network, and on-premises execution
Govern multiple execution environments from one control plane
Deployment
Build separate infrastructure for cloud, private-network, and on-premises execution
Govern multiple execution environments from one control plane
Customer stories
Agentic Automation Running in the Real World
How teams use FlowGenX to take agentic workflows from prototype to production
FlowGenX shipped production-ready agent orchestration before the major players. We evaluated building our own stack with LangChain + custom connectors — FlowGenX replaced months of integration work with a single platform.
What sets FlowGenX apart is that it turns the complexity of enterprise integration into a no-code, drag-and-drop experience — without sacrificing the governance and auditability that production deployments demand. It replaced our patchwork of tools with one platform.
Govern Every Agent. Control Every Execution.
Apply identity, authorization, policies, approvals, encryption, and audit controls from the control plane — while sensitive execution and data stay within your approved environments.
Explore security & governance
SOC 2-Ready
Controls for security, availability, and data integrity. Agent Gateway with authentication, authorization, and rate limiting. Field-level encryption (AES-256 at rest, TLS 1.2+ in transit).
CCPA
Full consumer data rights: access, deletion, and opt-out of sale. Automated data subject request handling with audit-logged responses.
GDPR
Privacy by design with configurable data residency, consent management, and right-to-erasure workflows. Complete audit trail on all data processing.
Any AI. Every app. One governed engine.
See FlowGenX working
in your systems
A walkthrough of Enterprise MCP, FlowGenX Chat, and Co-workers on the engine that runs all three — tailored to your industry and your stack.