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AI & AIOps
Governed AI for Infrastructure: From Hype to Production
If you walked the halls at AutoCon 4 this year in Austin, you felt it. The energy was different. The conversations were sharper. Everywhere you turned, people were talking about AI and infrastructure with a mix of excitement, urgency, and a healthy dose of skepticism. What models are people testing in their labs? How far

Blog
Stop Chasing Efficiency, Start Building Automation Enablement
If you have spent any amount of time around automation programs, you have probably seen the same story play out over and over. A team gets excited about network automation. They identify a handful of low hanging fruit. They start measuring the time saved on repetitive tasks. They share a few wins, present some slides,

Blog
What You Missed at AutoCon 4, Architecting Hybrid AI, Introducing FlowAI, & More
Welcome to another edition of Itential Insights. Here’s what you’ll find this month: FlowAI is here. Unveiled at AutoCon 4, FlowAI brings agentic orchestration to hybrid infrastructure – connecting reasoning intelligence with deterministic, fully governed workflow execution. AutoCon 4 recap. William Collins breaks down the three big themes that dominated Austin: agentic orchestration, the rise

AI & AIOps
AutoCon 4: Keeping Automation Weird in Austin!
Austin delivered. I just wrapped up an incredible week at AutoCon 4, the Network Automation Forum's latest conference, and I'm still buzzing from the energy. As always, the hallway track was impeccable. Over 550+ network engineers, architects, and automation practitioners descended on the Austin Marriott Downtown from November 17-21. When you have that many great

AI & AIOps
Itential FlowAI & the New Operating Model for Infrastructure
At AutoCon 4, we introduced FlowAI to the community. It was the first time we showed how an agentic operating model can be applied to real infrastructure with governance, determinism, and security at the center rather than bolted on after the fact. The energy in Austin made something clear. Teams are ready for AI in

AI & AIOps
How to Leverage Itential Configuration Manager with MCP for AI-Driven Compliance
Misconfigurations aren’t just operational headaches anymore, they’re compliance liabilities. As networks sprawl across data centers, clouds, and edge locations, and as regulations like PCI DSS, NIST, HIPAA, SOX, and ISO evolve, it’s no longer realistic to rely on manual effort and spreadsheets to keep configurations aligned with policy. Teams are asked to interpret hundreds of

AI & AIOps
When AI Met the Network: Hype, Hope, & the Hard Parts
I’ve spent enough years in networking to see new “revolutions” arrive like clockwork. Every few years, there’s a silver bullet that’s going to change everything - SDN, intent-based networking, cloud, and now AI. The cycle always starts with big promises, loud marketing, and very little clarity about what problem we’re actually trying to solve. AI

AI & AIOps
Building Trust in Non-Deterministic Systems: A Framework for Responsible AI Operations
Every infrastructure leader today is under pressure to move faster – automate more, deliver instantly, and now, infuse AI everywhere. The tools are powerful. The opportunities are real. But the question that keeps surfacing in every customer conversation is simpler and far more human: can we trust it? The New Trust Equation AI introduces a

AI & AIOps
Beyond Deterministic Automation: Why AI Reasoning is the Future of Infrastructure Orchestration
The Executive Reality Executives don’t need another “AI will change everything” promise. You need a practical path to integrate AI into your automation without losing control or compliance. The future isn’t replacing deterministic automation with AI – it’s using AI to create deterministic building blocks that orchestration can trust, validate, and reuse at scale. This

Blog
How Colt Accelerated Global Network Innovation with Itential
In today’s connected world, speed isn’t a competitive advantage, it’s the baseline. The ability to deliver new services faster, with greater consistency and control, is what separates providers who lead from those who follow. And for most, the barrier isn’t strategy, it’s the operational reality of fragmented automation. That’s the story Colt faced head-on. Since
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