At Red Hat Summit 2026, the conversation centered on a critical reality: AI agents are arriving in enterprise IT faster than most environments can govern them. 

Across the keynotes and more than 50 technical sessions, Red Hat made its position clear—organizations don't need to start over for the AI era. Instead, Red Hat Ansible Automation Platform is acting as the trusted, deterministic execution layer for autonomous AI.

Here are the 4 defining themes and real-world breakthroughs from the event.

1. Ansible Automation Platform 2.7 as the execution layer for the agentic era

By 2027, the vast majority of Global 500 companies will use autonomous AI agents to oversee and repair cloud infrastructure. With the introduction of Ansible Automation Platform 2.7 (now featuring a specialized automation orchestrator in technology preview), teams can visually design complex workflows that unify task-based, event-driven, and AI-informed logic on a single canvas.

Key bridges between AI intelligence and IT action include:

  • Multimode orchestration: For scaling workflows across complex environments.
  • Model Context Protocol (MCP) server: Open integration paths for AI agents.
  • Zero-trust security: Acting as an OpenID Connect (OIDC) identity provider alongside tools like HashiCorp Vault to issue short-lived, job-specific tokens.

This means that your existing automation investments carry forward. Ansible Automation Platform connects your current workflows directly to next-generation AI tools.

2. AIOps requires trusted execution

Observability tools excel at finding infrastructure errors, but knowing a problem exists doesn't fix it. The core theme among partners like ServiceNow, Splunk, Cisco, and IBM Instana was closing the loop. Ansible Automation Platform acts as an engine to convert AI insights into repeatable, auditable infrastructure outcomes, reducing the risk of rogue AI logic running wild in production.

3. Standardizing to mature IT operations

Building a mature IT environment requires moving away from fragmented, siloed scripts and standardizing on a single, hardened enterprise foundation. By prioritizing platform engineering principles and a structured automation lifecycle, organizations can scale from basic task execution to a deeply embedded culture of automated self-healing.

4. Real-world innovation: The frontiers of 2026

The true pulse of Red Hat Summit 2026 was felt through global pioneers actively combining agentic AI, zero-trust architecture, and event-driven remediation.

  • TD Bank (Innovation Award Winner): Modernized network infrastructure across 1,300 branches via agentic AI and AI-assisted coding. Upgraded 25,000 devices in just 90 business days (averaging 1.5 to 2 hours per location) without disrupting operations for 11 million customers.
  • One New Zealand (Innovation Award Winner): Developed a unified "One Horizontal Cloud" platform, eliminating operational silos and cutting infrastructure deployment times by 40% to accelerate their 5G core network rollout.
  • SWIFT: Building on the foundational automation strategies highlighted at Red Hat Summit 2025, SWIFT automated the migration of over 2,000 legacy playbooks from Ansible Automation Platform 2.9 to 2.16 using Steampunk Spotter. This achieved an 80% auto-fix rate and saved 6,500 engineering hours. By syncing the pipeline with ServiceNow CMDB, they preserved strict role-based access control (RBAC) and provided near-instant, continuous compliance evidence for financial auditors.
  • Banco Bradesco: Paired Ansible Automation Platform and Terraform under an "Automation First" policy. Moving beyond basic execution, the bank leverages Ansible Automation Platform’s open architecture and APIs to gain deep infrastructure observability—enabling them to instantly track down obsolete assets, mitigate operational risks, and provide continuous, audit-ready compliance data.
  • Turkcell: Combined Ansible Automation Platform with Red Hat Advanced Cluster Management for Kubernetes to achieve zero-touch provisioning across core and RAN edge domains, cutting workload cluster spin-up times from a full week down to a few hours.

What this means for you

The agentic era isn't coming; it’s already here. AI agents will increasingly manage infrastructure, respond to incidents, and optimize workloads. The only question is whether it happens on your terms, under governance you control.

If you are already building workflows and standardizing playbooks with Ansible Automation Platform, you are already ahead of the game.

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About the author

Jaime Biskup, Product Marketing Manager

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