From Investigation to Execution: Enabling NeuBird AI with Red Hat Ansible Automation Platform

In modern cloud environments, production complexity often overwhelms traditional operational workflows. When a critical service degrades or a risk audit flags an infrastructure oversight, teams are routinely pulled into multi-tool war rooms to diagnose the root cause and apply a manual fix.

While observability tools notify engineers when something breaks, they leave both the investigation and the fix to human troubleshooting.

Today, we are excited to announce our collaboration with Red Hat, the world's leading provider of open source solutions, to enable integration for NeuBird AI with Red Hat Ansible Automation Platform. Available as a Red Hat Ansible Certified Collection in the Ansible automation hub, NeuBird AI pairs AI-driven investigation with deterministic, repeatable remediation, paving a safe, practical path toward autonomous remediation and self-healing operations.

The Operational Gap: Bringing Action to Investigation

Identifying a problem is only part of the incident lifecycle.

During an investigation or routine risk audit, NeuBird AI's Production Ops Agent can identify that an AWS RDS database instance lacks deletion protection or multi-AZ redundancy, or highlight that a service is down due to a frozen virtual machine.

NeuBird AI focuses on intelligent investigation and analysis:

• Autonomous Investigation: It queries telemetry across 15+ sources in parallel to pinpoint root causes in under 5 minutes at 94% accuracy.
• Actionable Recommendations: It surfaces clear, context-aware remediation paths based on real-time system state.

However, executing infrastructure changes like modifying database settings or restarting virtual instances requires predictable, controlled execution. That is where Red Hat Ansible Automation Platform comes in.

How It Works: Connecting Recommendations to Repeatable Execution

By connecting NeuBird AI to the Ansible Automation Platform via an open Model Context Protocol (MCP) server connection, NeuBird AI matches its investigative findings directly with your existing Ansible Job Templates.

The Integrated Workflow

• Contextual RCA & Risk Auditing: NeuBird AI continuously monitors telemetry and performs risk audits across your infrastructure to surface degradations and configuration oversights before they cause wider disruptions.
• Template Mapping: When an issue or audit finding is identified, NeuBird AI queries Ansible Automation Platform via the MCP server connection to see if a corresponding Ansible job template already exists to address it.

A Graduated Path to Autonomy

• Human-in-the-Loop Verification: Teams can start by reviewing NeuBird's recommended remediation and manually triggering the matching Ansible job template directly as a follow-up to the investigation.
• Automated Remediation: As confidence in specific playbooks grows, teams can place proven templates on a "safe-to-run" list. NeuBird can then trigger these Ansible job templates automatically upon detecting a matching finding, bringing the concept of self-healing infrastructure into daily reality.
• Standardized Job Execution: Once triggered, Ansible Automation Platform executes the template as a tracked job, so infrastructure updates remain consistent and fully audited.

If NeuBird AI identifies an issue where no corresponding template exists, it highlights the gap so administrators can author new Ansible content to automate future fixes.

What This Collaboration Hints at the Future of Ops

By connecting NeuBird AI's contextual reasoning with Ansible Automation Platform's deterministic orchestration, role-based access control (RBAC), and audit trails, organizations can move beyond reactive firefighting and take progressive steps toward automated recovery:

• A Pragmatic Bridge to Self-Healing: Self-healing operations don't happen overnight. Pairing intelligent AI diagnosis with deterministic Ansible execution gives teams the safety rails needed to automate more over time.
• Standardized & Safe Operations: Standardizing fixes through Ansible Playbooks reduces ad-hoc, error-prone manual commands during high-stress incidents.
• Operational Efficiency: Streamlining the transition from diagnosis to action helps minimize alert fatigue, reduce war room time, and reclaim engineering hours for product development.
• Data Sovereignty & Control: NeuBird AI operates inside your environment (on-prem or in-VPC) with zero data storage, enabling complete machine auditability and human-in-the-loop control.

Getting Started

Red Hat customers can explore the integration today:

• Download the Collection: Access the NeuBird AI collection in the Ansible automation hub.
• Connect Your Stack: Connect NeuBird AI to your cloud infrastructure and link Ansible Automation Platform using MCP.

Watch the video demonstration here or visit neubird.ai to request a demo.