Itential & Selector: Real-Time Observability, Automated Recovery, Enterprise-Ready

Today, Itential is excited to announce a strategic partnership with Selector AI, bringing together two industry leaders to create an end-to-end, closed-loop solution that pairs real-time event detection with automated, policy-based remediation. This integration addresses one of the most pressing challenges facing network operations teams today: taking precise and secure action on AI-driven insights.

The AI Insight-to-Action Gap

The rapid evolution of AI has transformed how organizations detect issues across their infrastructure. AI-powered observability and AIOps platforms can now identify anomalies, predict failures, and surface recommendations with unprecedented accuracy. However, a critical gap remains between these insights and the actual execution of remediation actions.

As enterprises invest heavily in AI — from Large Language Models (LLMs) to autonomous agents to AIOps platforms — they’ve discovered that intelligence alone isn’t enough. Without a secure, governed execution layer, those insights cannot safely translate into action. AI can detect issues and suggest fixes, but it can’t execute validated configuration changes or close service tickets without a bridge to orchestrated workflows. This is where the Itential + Selector partnership comes in.

Closing the Loop: How Itential & Selector Work Together

Selector delivers AI-powered observability and event correlation purpose-built for complex environments. Their platform continuously ingests telemetry across network, infrastructure, and applications, using AI to correlate events and detect root causes with a high signal-to-noise ratio.

Itential provides a unified orchestration layer that transforms those insights into action. When Selector identifies an issue, Itential receives the trigger (via webhook, API, or ticket integration), maps it to a predefined or dynamic automation workflow, and executes the appropriate remediation across multiple domains.

This partnership creates a true closed-loop solution:

• Detection: Selector’s AI-driven observability platform monitors complex hybrid environments and uses machine learning to detect anomalies and critical events.
• Orchestration: Itential’s platform is triggered to orchestrate the appropriate remediation workflow in line with predefined policies and best practices.
• Execution: Changes are implemented across network, cloud, and IT domains with full governance and auditability.
• Validation: The solution verifies that remediation was successful and closes the loop in systems like ServiceNow.

Real-World Impact for Enterprise & Service Provider Networks

The partnership is already making waves with early adopters. At Itential, our approach combines pragmatic solutions for today’s challenges with strategic vision for tomorrow’s technological landscape. We aren’t creating nice and shiny features in a vacuum, for the sake of doing AI. Our focus is building AI Driven solutions that can be adopted by our customers today that translate to real business outcomes.

Organizations implementing this joint solution can expect:

• Dramatically Reduced MTTR: Issues are identified and resolved automatically, in real-time.
• Improved Resiliency: Proactive detection and remediation of issues before they impact services.
• Enhanced Operational Efficiency: Routine tasks are offloaded from engineers, allowing them to focus on higher-value work.
• Reduced Risk: Policy-based remediation ensures all actions follow compliance, security, and governance requirements.
• Multi-Domain Orchestration: Solutions work across cloud, on-premises, and hybrid environments.

Use Cases: AI-Powered Operations in Action

This Itential + Selector partnership is only the beginning. Combining the tremendous value of Itential and Selector drives straight to the core of Network Operations. The following use-cases are front and center:

Incident Detection to Automated Resolution

When Selector detects degradation or failures, Itential orchestrates the end-to-end response — from validation to resolution, with no manual bottlenecks. The solution ingests signals from Selector, triggers multi-step remediation workflows across systems, and closes tickets automatically in ServiceNow with full audit logs.

Compliance Drift Detection & Remediation

When AI identifies misconfigurations or policy violations, Itential initiates approved remediation workflows that validate, fix, and document the response. This ensures every action meets regulatory and internal standards, with enforcement logic, approvals, and rollback safeguards built in.

AI-Augmented Troubleshooting

Itential workflows can call out to LLMs mid-execution to interpret logs, recommend actions, or summarize complex telemetry — turning raw data into next steps. This allows for dynamic workflow paths based on AI-generated context and human-in-the-loop collaboration with model input.

Looking Ahead: The Future of AI-Orchestrated Networks

The Itential + Selector partnership represents a significant milestone in the evolution of network automation. As Chris Wade notes, “The emergence of MCP and Agent-to-Agent (A2A) communication will fundamentally change the automation landscape in the next 12-18 months.”

Itential’s product roadmap is firmly aligned with this vision. Current capabilities include AI-native closed-loop operation (AIOps) and integration with AI LLM reasoning models using MCP Server. Next-phase developments will focus on predictive insights, natural language-driven workflows, and automated reasoning and remediation.

Get Started with Itential + Selector

Ready to bridge the gap between AI insights and infrastructure action? Here’s a few ways you see how it works for yourself.

• Schedule a custom demo with our team →
• Register to watch our joint live webinar →
• Join the Itential & Selector teams at Cisco Live for our Close the Loop Scavenger Hunt → (Cool prizes included)
• Get the details of our joint integration →