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About Luca Berton

Luca Berton is an Ansible automation expert, author of 8 Ansible books published by Apress and Leanpub including "Ansible for VMware by Examples" and "Ansible for Kubernetes by Example", and creator of the Ansible Pilot YouTube channel. He shares practical automation knowledge through tutorials, books, and video courses to help IT professionals and DevOps engineers master infrastructure automation.

Ansible Automation Orchestrator: Unified AI-Driven IT Operations Workflow

By Luca Berton · Published 2024-01-01 · Category: security-compliance

Preview the Ansible Automation Orchestrator: unified AI-driven workflows with human approval gates, coming Q3 2026.

The Automation Orchestrator is a new unified experience for AI-driven IT operations — coming Q3 2026. It connects event detection, AI reasoning, and deterministic execution in a single, auditable pipeline.

Core Principles

  • ✅ AI recommends — AI analyzes events and suggests actions
  • ✅ Humans approve — approval gates ensure oversight
  • ✅ Automation executes — deterministic execution through AAP
> "AI isn't improvising against production infrastructure, it's acting through AAP."

See also: AIOps: The Future of IT Operations with AI-Driven Automation

What It Does

One governed workflow, end-to-end:

  • Connects event detection, AI reasoning, and deterministic execution in a single auditable pipeline
  • Seamless orchestration of disparate tools and processes
  • Visual workflow builder for multi-step automation chains

Example: Vulnerability Remediation Pipeline

The Orchestrator UI (at ) provides a visual canvas where agents, events, and playbooks are orchestrated on a single screen.

5-Step Workflow

Step 1: Alerts from multiple sources Events arrive from IBM Instana, ServiceNow, and Splunk vulnerability alerts — all as Event-Driven Ansible triggers on the same canvas.

Step 2: Events trigger deterministic automation rulebook The alerts feed into a "Create SNOW Ticket" job template that creates tracking tickets and a "Create JIRA Ticket" action — deterministic, auditable steps.

Step 3: AI analyzes and recommends A "Vulnerability Analysis" AI agent step uses a configured model (e.g., GPT-4) with defined tools (4 tools shown) to analyze the vulnerability and recommend remediation.

Step 4: Humans approve A "Human Review" approval gate with timeout and escalation. Reviewers see the AI recommendation and can approve or reject. Green = approved, red = rejected.

Step 5: Automated remediation at scale An "Execute Remediation" AAP job template runs the "Patch and Restart" playbook across affected hosts.

┌─────────────────┐     ┌─────────────────┐     ┌──────────────┐     ┌──────────────┐     ┌──────────────┐
│ 1. ALERTS        │     │ 2. AUTOMATION    │     │ 3. AI AGENT   │     │ 4. HUMAN      │     │ 5. REMEDIATE  │
│                  │     │                  │     │               │     │    REVIEW      │     │               │
│ IBM Instana     │────►│ Create SNOW      │────►│ Vulnerability │────►│ Approval gate │────►│ Execute       │
│ ServiceNow      │     │ Ticket           │     │ Analysis      │     │ (Timeout +    │     │ Remediation   │
│ Splunk          │     │ (Job Template)   │     │ (Model + 4    │     │  Escalation)  │     │ (Patch and    │
│ (EDA Triggers)  │     │                  │     │  tools)       │     │               │     │  Restart)     │
└─────────────────┘     └─────────────────┘     └──────────────┘     └──────────────┘     └──────────────┘

Canvas Legend

IconStep Type
AI AgentAI-powered analysis/recommendation
ActionGeneric automation action
AAP ExecutionJob template or workflow
LogicConditional branching
ApprovalHuman review gate
TriggerEvent source (EDA)
Green connectorApproved path
Red connectorRejected path

Built for Every Automation Persona

PersonaInterface
Platform engineersIntuitive GUI-based workflow builder
IT operatorsVisual pipeline monitoring and approval
Automation developersHeadless API and MCP integrations

How It Differs from Existing Workflows

FeatureCurrent AAP WorkflowsAutomation Orchestrator
AI integrationManual job chainingAI recommends next steps
Event-drivenSeparate EDA rulebooksUnified event → action pipeline
Approval gatesWorkflow approval nodesContextual AI + human approval
Multi-toolAAP-only executionOrchestrates external tools (ServiceNow, Splunk, etc.)
VisibilityPer-job logsEnd-to-end pipeline audit trail

Timeline

MilestoneDate
Technology PreviewAAP 2.7 (June 2026)
General AvailabilityQ3 2026
Access the technology preview at .

FAQ

Is the Automation Orchestrator a separate product?

No. It's part of Ansible Automation Platform, accessible through the Ansible Portal.

How does it relate to AAP Workflow Job Templates?

The Orchestrator builds on top of existing workflows but adds AI reasoning, external tool integration, and contextual human approval gates. Existing workflow templates continue to work.

Can I use it without AI?

Yes. The Orchestrator works for traditional deterministic workflows too. AI is optional but adds intelligent routing and recommendations.

What external tools can it orchestrate?

Any tool with an API or webhook: ServiceNow, Splunk, IBM Security, Jira, PagerDuty, and more — connected through the visual workflow builder.

See also: Ansible AI-Driven Automation Architecture: 4 Entry Points for GenAI, API, EDA, and MCP

Category: security-compliance

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