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Automation Hub

AI-native automation for enterprise IT and business workflows

Build, run, and monitor reliable end-to-end workflows across apps, systems, and cloud services. Automation Hub combines AI-aware orchestration, reusable connectors, and enterprise execution controls.

Key Capabilities

💻

Build workflows visually

Create jobs with reusable steps, conditions, and variables instead of writing custom orchestration code.

🤖

AI-aware orchestration

Let AI agents discover, invoke, and monitor automations through the Model Context Protocol.

⚡

Reliable execution

Temporal-backed workflows support retries, pause/resume, and restart for enterprise workloads.

🔌

Prebuilt connectors

Connect to email, chat, cloud services, databases, APIs, and more with ready-to-use nodes.

🔐

Secure credential vault

Store and manage credentials centrally so workflows reuse secrets safely at runtime.

📊

Execution visibility

Track job status, step outcomes, retries, and logs in one place for faster troubleshooting.

What you can automate

Ticket automation

Automatically route, classify, and resolve common incidents with AI-aware workflows.

System orchestration

Link SaaS, databases, APIs, and legacy platforms into reusable, end-to-end automation flows.

Reliable long-running jobs

Manage workflows that span hours or days with pause/resume, retries, and audit-ready history.

How It Works

Automation Hub turns AI instructions into reliable workflows by connecting AI agents, orchestration services, plugins, and external systems.

🤖
AI Agent
Receives user intent from chat, tickets, or automation requests.
🌐
MCP Server
Exposes tool actions and receives AI commands over Model Context Protocol.
⚙️
Job Executor
Runs workflow steps reliably using Temporal and execution controls.
🧩
Plugin
Implements reusable automation step logic for business actions and integrations.
🔌
Connector
Talks to external systems like SaaS, databases, APIs, and file services.