Itential Automation Gateway

The governed execution engine for automation, orchestration, and AI-driven infrastructure actions.

Your Challenges

When Scripts, Pipelines, & AI Execute Without Boundaries

Operational Overhead

Managing servers, dependencies, and libraries consumes time that should be spent building automations.

Lack of Standardization

Inconsistent practices fragment your environment, introducing delays, inefficiencies, and errors that slow automation.

Access Control Chaos

Scattered permissions across scripts and environments introduce risk and disrupt workflows

Developer Dependency

Without self-service execution, developers are pulled into access requests, troubleshooting, and environment setup instead of building automations.

Scaling Infrastructure Is a Heavy Lift

Building resilient, geo-distributed automation infrastructure is complex, requiring cluster management, workload balancing, and constant uptime management.

AI Without Guardrails

AI agents increase speed and autonomy, but they also increase blast radius. Without a governed execution layer, AI becomes a direct path to production risk.

Capabilities

Operationalize Automation with a Governed Execution Layer


IAG eliminates script sprawl and infrastructure management overhead by providing a governed execution environment for all your automations – from Python scripts to AI agent requests.


Dynamic Execution Environment

Every automation gets its own ephemeral runtime, built instantly and always consistent.


Centralized Control

Manage Python, Ansible, Terraform, and custom executables from one place.


Enterprise Governance

Role-based access, encryption, auditing, and policy enforcement on every execution.


AI-Ready Execution

Automations can invoke external AI agents and MCP tools through FlowMCP Gateway for intelligent enrichment.

Agentic Execution

From Automation Execution to Agentic Execution

  • Single execution layer for scripts, workflows, and AI-initiated actions
  • Intent-based control: AI requests intent, IAG determines what runs
  • Governance you can trust: No direct AI access to infrastructure or credentials
  • Deterministic execution replaces probabilistic action
Dynamic Execution Environments

Keep Writing Scripts.
We’ll Build the Environments.

  • Auto-create dynamic, ephemeral runtime environments for every automation execution.
  • Centralized management for Python, Ansible, Terraform, Netmiko, Scrapli, and custom executables.
  • Real-time Git sync keeps automations current with seamless updates.
  • Concurrent execution runs multiple services simultaneously without conflicts.
Service-Based Automation

Standardize Scripts. Deliver as Services.

  • Transform automations into structured, service-based models with standardized inputs
  • Engineers build with their preferred tools; operators consume without understanding code
  • Centralized platform manages any executable with common interfaces
  • Seamless self-service access eliminates developer bottlenecks
Enterprise Governance

Control Access, Minimize Risk. Automate Securely.

  • Role-based access controls who can view, manage, and execute specific automation services
  • Detailed auditing monitors every execution with complete logs and traceability
  • Encryption & authentication via SSL/TLS, LDAP integration, or local accounts
  • Authorization defines and enforces execution permissions across all automations
Self-Service Execution

Self-Serve Your Automation, Without the Developer Bottlenecks.

  • Service-based structure runs automations without code expertise
  • Full visibility into who runs what and where issues occur
  • Self-service access frees developers to focus on innovation
  • Standardized inputs enable operators to execute without understanding underlying complexity
Gateway Manager

Manage Multiple IAGs from a Single Control Plane

  • Centralized monitoring of all IAG instances from Platform
  • Track health and status across on-prem, cloud, and edge environments
  • Distributed execution for geographically dispersed infrastructure
  • Unified control plane for enterprise-scale automation operations
Multi-Platform Integration

Integrate Automations into Platforms, Pipelines & Orchestrated Workflows

  • Execute in your environment without giving up control – IAG runs where infrastructure lives
  • Integrate with CI/CD including GitHub Actions, Jenkins, Terraform, and ITSM tools
  • Bridge scripting, orchestration, and AI with secure execution across all automation types
  • Connect to external AI intelligence through FlowMCP Gateway for data enrichment and analysis
  • Centralize device inventory with Itential Inventory Manager for consistent source of truth
  • Track every change end-to-end with complete logging and audit visibility

Explore the Platform →

FlowAI

Securely Connect AI Agents to Infrastructure with FlowMCP Gateway

FlowMCP Gateway bridges AI reasoning and infrastructure execution. External AI agents and MCP tools invoke automations through IAG’s secure execution layer -ensuring every AI-driven action is governed, auditable, and compliant.

AI can request. IAG controls what actually runs.

Explore FlowAI →

  • Invoke External AI Agents
    Automations on IAG can call NetBox MCP, Selector MCP, and other external agents for data and intelligence
  • MCP Tool Integration
    Connect to any MCP-compatible tool to enrich automation workflows with external context
  • Governed External Calls
    Every call to external agents flows through IAG’s security and audit framework
  • Enterprise Compliance
    Maintained through IAG’s existing access controls and logging capabilities
Unified Execution Environment

One Platform. Many Teams. Centralized Execution

Itential enables engineering, operations, security, and platform teams to execute automations from a centralized, governed infrastructure – aligned to your policies and ready for AI.

Security & Compliance

Execute automations with role-based access, encryption, and detailed audit trails by default. Track every execution for compliance and evidence.

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Engineering & Operations

Run automations without managing servers, dependencies, or environments. Build with preferred tools, execute through governed infrastructure.

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Platform & AI Teams

Expose execution capabilities to pipelines and FlowAI agents – so automation requests trigger only approved, auditable operations.


IT Leaders & Architects

Standardize how automations execute across teams and domains. Get visibility into all execution activity with consistent governance at enterprise scale.

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Frequently Asked Questions

What is Itential Automation Gateway (IAG)?

The on-prem execution engine that runs scripts, workflows, and AI-initiated actions in your environment with dynamic runtimes, enterprise governance, and centralized management.

How is IAG different from running scripts on servers?

IAG provides dynamic, ephemeral environments for every execution, eliminating dependency conflicts and configuration drift. You get centralized management, RBAC, auditing, and Git sync that manual server management can’t provide.

Can I use my existing Ansible, Python, and Terraform?

Yes. IAG runs your existing automations without modification. It provides the execution infrastructure and governance layer around what you’ve already built.

What is Gateway Manager?

A Platform capability for managing multiple IAG instances from one control plane. Monitor health, track status, and control distributed execution across on-prem, cloud, and edge environments.

How do FlowAI agents use IAG?

FlowAI agents connect to Platform through FlowMCP Server (the Itential MCP), which can trigger workflows that execute on IAG. IAG also has FlowMCP Gateway to invoke external MCP tools and AI agents for intelligence gathering.

Can IAG run in my environment, or does it require cloud?

IAG runs wherever your infrastructure lives – on-prem, private cloud, or customer-controlled public cloud. Data and execution remain in your environment.

How does IAG integrate with CI/CD pipelines?

IAG exposes APIs that CI/CD tools can call to trigger governed automation execution. Works with GitHub Actions, Jenkins, GitLab, and other pipeline tools.

What happens if an automation fails?

IAG captures full execution logs, error details, and exit codes. You can configure retry logic, rollback procedures, and alerting for failed executions.

Get Started with Itential

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