Your enterprise probably has an AI strategy. Our question is: can your platform support it? One of our Principal Architects, Oliver Eikenberry created a list of questions to ask and be able to answer before you're ready to implement that AI Strategy. The truth is that AI amplifies what's already there. In this blog, Oliver breaks down what needs to be there first, and what happens to the organizations that skip it. We recommend you read this before you type another word on your AI strategy: https://hubs.li/Q04jch1_0
Liatrio
IT Services and IT Consulting
Austin, Texas 4,305 followers
Own your digital destiny.
About us
Liatrio is an AI-native partner that helps enterprises turn AI into real operational advantage. We embed with teams to redesign how work gets done, building smarter workflows, stronger delivery, and sustainable change.
- Website
-
https://www.liatrio.ai
External link for Liatrio
- Industry
- IT Services and IT Consulting
- Company size
- 51-200 employees
- Headquarters
- Austin, Texas
- Type
- Privately Held
- Specialties
- Continuous Delivery, Continuous Integration, DevOps, Development Productivity, Agile Software Development, Configuration Management, Containers, Containerization, Continuous Deployment, Deployment Pipeline, DevOps-as-a-Service, Infrastructure-as-a-Service, Integration Testing, Microservices Architecture, Platform-as-a-Service, User Acceptance Testing, Enterprise DevOps, Enterprise Architecture, Cloud Computing, Business Process Management, Kubernetes, DevSecOps, Infrastructure as Code, Policy as Code, and Value Stream Mapping
Locations
-
Primary
Get directions
600 Congress Ave
Austin, Texas 78701, US
Employees at Liatrio
Updates
-
Last call to register for tomorrow's webinar! Robert Kelly and Damien Storm are going live at 1 PM CT to walk through Agent Skills: what they are, how to build one, and how to get your whole team running the same playbook instead of re-explaining your best AI workflows from scratch every sprint. Grab a spot before tomorrow's webinar. → https://hubs.li/Q04j05VX0
-
-
Meet ✨ Masele Ivey ✨, Sr. Marketing Manager based in Houston, TX! Her background building programs that connect people and strengthen brand presence found a natural home at Liatrio. Masele values Liatrio for our culture rooted in transparency, experimentation, and a willingness to take action. She brings Liatrio's mission to life, turning the work we do into meaningful connections with the people and organizations we serve. When she's not driving impact at work, you'll find her hanging out with her son, snapping photos, singing, painting, and galavanting on her next adventure. She's a seafood lover (crab legs + poke 🦀) and her forever vibe is Bob Marley. We're so glad you're part of the team, Masele! 💚
-
-
Our recent spec-driven development webinar was a hit with attendees for one simple reason: we don’t just talk about outcomes. We demonstrate the process. From point A to point B, we show what implementation looks like in the real world. Join Robert Kelly and Damien Storm on May 28 for the next session in the Build with Liatrio webinar series: “Agent Skills: Turning AI Workflows into Reusable Team Capabilities.” They'll cover what an agent skill is, how to author one from scratch, and how to scale adoption responsibly across your organization. Ready to see what’s possible when AI workflows become scalable team capabilities? Register here: https://hubs.li/Q04h1qyW0
-
-
We're sponsoring O11yCon 2026 in San Francisco (May 20-21), and we'd love for you to join us there. 🎉 If you work in observability, platform engineering, or just spend too much time staring at dashboards (no judgment), this is the event for you. O11yCon brings together engineers and practitioners for real conversations about monitoring, tracing, and building systems you can actually trust. On May 20th, we invite you to join us and honeycomb.io in our hands-on workshop, "Operating the OpenTelemetry Collector at Scale," where we will show attendees how to build production-ready telemetry pipelines that send high-quality, context-rich structured events to Honeycomb. Find us at the workshop, at the booth, or in the hallways. See you in SF. 👋 Register here: https://hubs.li/Q04gCRjK0
-
-
Ready to go from individual AI users to AI-native teams? That's what agent skills make possible. Join us on May 28, where Liatrio's VP of Innovation, Robert Kelly, and Lead AI Enablement Engineer, Damien Storm, will walk through how. We'll cover what Agent Skills are, where they fit alongside prompts, CLAUDE.md, subagents, hooks, and MCP, and how teams can author, distribute, and govern them safely. You'll see two live demos, installing an existing skill and creating a new skill from scratch, plus a look at how we converted SDD itself into an advanced skill with dynamic routing, helper scripts, and evals. Leave with a practical mental model and a starter path: pick one workflow your team repeated last week, and turn it into a reusable skill by next week. See you there! Register here 👉 https://hubs.li/Q04g89GY0
-
-
"The AI deleted our production database" is only half the sentence. The other half is: "…after we gave it the access required to do that, through a harness we trusted more than we understood." In his latest piece, Damien Storm, one of our Lead AI Enablement Engineers, digs into the PocketOS incident and makes a case that's easy to skip past in the AI-failure framing: the model didn't decide which secrets lived in the environment. It didn't decide whether the platform token could nuke production. It didn't decide whether backups sat inside the same blast radius. Humans and platforms made those calls. If an agent harness has credentials, shell access, or deploy authority, it IS part of your production system, and it deserves the same scrutiny as anything else with that reach: → What tools can it call? → What can it execute without approval? → Where are the hard stops vs. the soft suggestions? → Can you reproduce the permission path after the fact? Prompts are guidance. Policies are enforcement. A note taped to the dashboard saying "please drive carefully" is not a braking system. The path forward isn't avoiding agents. It's making their authority inspectable, testable, and bounded. Full post: https://lnkd.in/gF8g3Gzg
-
We practice what we preach. AI fluency isn't just for engineers, it belongs in every role. That's why every employee at Liatrio steps away from their day job to spend two to four weeks learning how to work with AI. What started as a way to enable our engineers has grown into a company mandate. This month it was our revenue and marketing teams' turn - two full weeks, no regular work, just heads-down time with Claude. When you give people room to experiment, they come back sharper, find better processes they didn't know existed, and bring a new energy into everything they do. Building skills is part of the job here, not something squeezed in around it.
-
-
We're sponsoring Replay 2026, May 5-7, in San Francisco! 📣 Temporal Technologies's annual durable execution conference is where the people building production-grade AI systems show up to share what's working, from architecture patterns and failure-handling strategies to real-world agent deployments. That's exactly the conversation we want to be in. If you're attending, make sure to swing by our booth. We'd love to connect! https://hubs.li/Q04dx_8s0
-
-
When our CEO Chris Blackburn started Liatrio a decade ago, the belief was simple: even the largest, most complex organizations can move fast when you fix the systems around their people. Ten years later, that belief still holds. We've got the team to prove it, and we're just getting started. 👇
Ten years ago, I started Liatrio with a belief that felt almost naïve: that the largest, most complex organizations in the world could actually move fast. That brilliant engineers weren't being held back by talent, but by the systems and processes built around them. That belief hasn't changed. Not once. What has changed is everything around us. The technology. The pace. The stakes. AI is moving faster than anything we've seen before, and the pressure on enterprise leaders to respond is unlike anything in my career. And yet, for us, it's all the same. Today, I'm announcing that Liatrio is formally becoming an AI-first enablement company. Not because we reinvented ourselves, but because we never had to. We've always met enterprises at the frontier of what's next, equipped their teams to work in fundamentally new ways, and built the foundations that make change stick. That's what we did with DevOps. With cloud. With platform engineering. AI is just the most powerful, most urgent version of that work yet. The enterprises that struggle with AI aren't struggling because the technology is too hard. They're struggling because they start with tools instead of teams. They layer AI on top of broken processes and wonder why nothing moves. That is the wrong approach, and it's the same wrong approach we've been helping organizations escape for a decade. The organizations that win will be the ones who build the foundations, the people, the platforms, the practices, to actually use it. That's what we do. That's what we've always done. But I'll be honest about why this moment feels different to me personally. I believe we are at an inflection point for humanity. AI, embraced fully and enabled properly without letting process get in the way, can solve problems we've been stuck on for generations. I think about my kids and the world they'll inherit. The choices enterprises make right now will shape that world. Everything is changing. We are staying the course. Ten years in, that purpose has never felt more urgent. If you're tired of AI pilots that go nowhere, let's talk.