Itential connects your AI ecosystem to your infrastructure, transforming insights into trusted, automated actions. With built-in guardrails, policy enforcement, and cross-domain orchestration, we make AI operational at scale.
The Gap Between AI & Action
AI is moving fast. But for critical infrastructure, trust moves slowly.
Enterprises are under immense pressure to adopt AI — yet the reality is, applying AI to network and infrastructure operations isn’t just a technical challenge. It’s a trust challenge.
LLMs and AIOps can detect issues and recommend actions. But without the right execution layer, those insights go nowhere — or worse, create risk.
In networks and infrastructure, the stakes are higher. You can’t afford a hallucinated config push, a non-compliant change, or an unapproved action that disrupts connectivity.
- Secure Execution: AI agents must operate within strict guardrails to ensure no action compromises production environments.
- Governance & Auditability: Every AI-initiated action requires full traceability, policy enforcement, and approval workflows.
- Cross-System Integration: AI outputs must be connected to the systems that drive change — from ITSM and source of truth systems to CLI and API interfaces across network, cloud, and infrastructure stacks.
Itential is The Secure, Orchestration Engine for AI
To fully realize the benefits of AI-driven automation, organizations need a platform that bridges the gap between AI intelligence and actionable network orchestration.
Itential is the only platform that can transform AI signals—LLM suggestions, AIOps alerts, or agent tasks—into secure, automated workflows across your network.
- Proactive & Predictive Network Operations
AIOps anticipates issues before they impact performance, and Itential executes automated responses to maintain uptime. - Secure, Policy-Driven Automation
Itential’s policy-enforcement capabilities ensure that AI-driven changes follow compliance, security, and governance policies, reducing operational risk. - Multi-Domain, Multi-Vendor Orchestration
AI-driven workflows operate across any network environment, from cloud to on-prem, service provider to enterprise. - Scalable AI-Enabled Network Management
AI models optimize performance and resource allocation while Itential scales automation across the entire network.
From AI Intent to Trusted Infrastructure Action
Itential’s three-layer architecture connects AI to infrastructure for secure, automated action, ensuring secure, bidirectional communication between AI and infrastructure systems.
AI-Driven Event Detection & Workflow Initiation
LLMs, autonomous agents, and AIOps platforms detect issues or recommend actions. Using our MCP Server, they send structured intent to Itential — securely and with context.
Itential Orchestrates Trusted Execution
The core of the Itential Platform, this layer governs, coordinates, and executes all workflows. It enforces policy, captures execution context, and adapts dynamically.
Infrastructure Control & Embedded Intelligence
Apply changes across infrastructure domains and invoke LLMs mid-workflow for log summarization, decision support, or config generation.
How Enterprises Are Putting AI to Work with Itential
Itential turns AI insights into real-world results across enterprise networks:
Incident Resolution
AIOps detects issues; Itential automates multi-step fixes, closing tickets automatically.
Compliance Remediation
Auto-corrects config drift with approved, auditable workflows.
AI-Augmented Troubleshooting
LLMs analyze logs mid-workflow, guiding faster resolutions.
Agent Collaboration
MCP Server enables secure agent-to-agent workflows with human oversight.
Ticket Triage
AI identifies issues; Itential resolves tickets via ITSM integration.
CI/CD Automation
AI triggers builds and deployments, streamlining DevOps pipelines.
Making AI Actionable: Key Capabilities of Itential
AI is rapidly becoming integral to infrastructure operations — surfacing insights, predicting issues, and recommending actions. But without a structured execution layer, those insights can’t drive change.
Itential bridges the gap between intelligence and execution. Through four powerful modes of integration and orchestration, Itential enables enterprises to harness AI across observability, AIOps, and LLM agents — ensuring every insight leads to a trusted, governed, and auditable outcome.
AI-Driven Event Detection & Automated Remediation
Connect AIOps and observability platforms (like Selector) to Itential to respond to anomalies, degradations, or performance issues with automated, policy-compliant workflows.
- Ingest events from telemetry and analytics tools.
- Orchestrate cross-domain remediation workflows.
- Close the loop automatically in systems like ServiceNow.
AI Agent-Initiated Workflow Triggering
Allow LLMs and agents (e.g., Gemini, ChatGPT, Claude) to initiate secure, auditable workflows based on user prompts or autonomous logic.
- Accept API/webhook triggers from AI tools or copilots.
- Apply governance and approval steps before execution.
- Maintain full visibility and traceability across actions.
Embedding AI Agents Within Workflows
Use LLMs and agents as mid-execution steps to enrich workflows, summarize unstructured data, or make recommendations.
- Call LLMs for log analysis, config generation, or recommendations.
- Enable conditional branching based on AI output.
- Combine human input, automation, and AI reasoning in one flow.
Agentic Orchestration with Itential MCP Server
Translate AI intent into infrastructure action using the MCP Server — a governance layer that connects agent outputs to executable workflows.
- One agent detects, another queries, Itential executes — all governed.
- MCP ensures agent actions are contextual, traceable, and compliant.
- Keep humans informed while allowing agents to scale ops.
Why Itential for AI-Orchestrated Infrastructure Automation
The execution layer that enterprises trust to turn AI into real-world action.
Insight isn’t enough. You need a way to act on it — governed, integrated, and production-ready. Itential delivers the orchestration platform that bridges AI intelligence with real infrastructure outcomes across any environment.
Built for Complex Infrastructure
Engineered to orchestrate across network, cloud, and IT domains — no matter the environment or vendor.
AI-Ready by Design
Integrates with any LLM, custom Agent, AIOps or observability platform to initiate or enhance orchestration workflows.
MCP Server for AI Intent Translation
Converts AI and external system outputs into structured actions within Itential — with full governance and control.
Secure, Policy-Driven Execution
Applies guardrails, approvals, and rollback safeguards to every action — ensuring AI doesn’t go rogue.
Low-Code When You Want It, Code When You Need It.
Design complex workflows quickly with an intuitive UI — and go deep with CLI, APIs, and full-code integrations when needed.
Frequently Asked Questions
What problem does Itential solve with AI in infrastructure operations?
How does Itential connect AI systems to real infrastructure?
What guardrails are in place for AI-initiated actions?
Every AI-triggered action in Itential passes through policy enforcement, pre/post checks, role-based approvals, and full logging. This ensures no hallucinated config or unsafe change bypasses governance.
What is the risk of using AI directly without orchestration?
AI models can generate scripts or commands that appear valid but may be non-compliant, misaligned with change policies, or outright unsafe. Without orchestration, these can reach production directly, causing outages or compliance violations.
Can Itential work with any AI platform or AIOps tool?
How is governance and auditability handled when AI Agents are in the loop?
All AI-driven actions are logged with full traceability: who/what initiated them, when, and what results occurred. Policies define which actions require approvals, which can run automatically, and how evidence is stored for audit.
Can AI Agents initiate self-service requests through Itential?
Yes. AI Agents can trigger workflows, but they don’t bypass governance. They act like any other user or system subject to RBAC, policies, validations, and audit logging.
How fast can enterprises adopt AI orchestration with Itential?
Many start by integrating AI recommendations into low-risk workflows (e.g., drift remediation, ticket enrichment). With guardrails proven, enterprises expand to more critical changes. ROI is often visible within 3–6 months.
How does Itential support cross-domain orchestration when AI is involved?
AI outputs can trigger workflows that span network, cloud, and security domains. Itential ensures consistency across stacks and integrates with sources of truth to maintain accuracy.
Learn More with Itential Content
Blogs
- Assessing the Promise of AI in Networking Now & Into the Future
- MCP: The Modern CLI or the Missing Link to AI-Driven Ops?
- From Scripts to Self-Healing: A Walkthrough of AI-Driven Remediation with Itential
- The AI-Ready Infrastructure Platform, Powered by Itential
- From Headcount to Hypercode: How CodeLLMs Are Rewiring the Software Development Lifecycle
- Closing the Loop Isn’t Just a Demo — It’s the Future of Ops
- More Impact, Same Effort: Orchestrating Your Automations
- Why Advanced Enterprise Organizations Should Invest in a Network Orchestration Platform
Other Resources
- Infrastructure Operations Automation Is Here, Thanks to MCP and Agentic AI
- AutoCon 3: Throw Out the Playbook, AI Is Here to Stay
- From Insight to Impact: Closing The Loop on Network Ops With Selector & Itential
- Itential MCP Demo | Trigger Network Automation with a Simple Ask
- From Automation to Agentic AI: Securing the Future of Infrastructure
- AvidThink: Reshaping Network Infrastructure With AI Automation
- Integrating the Itential Platform with AI/ML
- The Cloud Gambit: GenAI, Smart Agents, Automation, & What’s Next for Networking
- Driving Cloud Automation With Observability, AIOps, & NetDevOps
- Packet Pushers: Itential MCP Server & AI-Powered Network Operations
