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Sometimes the best feedback isn’t a metric. Recently, a client team surprised us with a Kudoboard filled with messages about their experience working with our team. It was a great reminder of something we’ve been fortunate to experience across so many of our client partnerships: the work matters, but so does how you show up while doing it. Across the teams and organizations we’ve had the opportunity to work alongside, we’ve built partnerships rooted in trust, collaboration, shared goals, and a genuine investment in each other’s success. Those relationships are a big part of what makes the work meaningful. We’re proud of the team that continues to show up this way—and grateful to all of our client partners who have trusted us to work alongside them.

I'm constantly telling enterprise leaders that the fastest path to transformation is to build a net-new practice inside the organization, remove as many legacy constraints as possible, and run it like a "tax-free" zone. Large, complex organizations were not designed to operate in a new way. Change management inside them is hard because the system is doing exactly what it was built to do: resist change. So instead of trying to transform the entire system at once, carve out a part of the organization and build differently. Build boldly.

Get your team upskilled on K8s.

"Are executives walking their factory floor?" That's the question our CEO Chris Blackburn keeps coming back to on his new episode of the Eye on A.I. podcast with Craig S. Smith. His take: you can't build AI efficiency if you don't know what's happening in your own product lifecycle. Chris walks through how Liatrio approaches this differently... embedding FDEs and consultants directly into the system, using value stream mapping to find real bottlenecks, and "strangling the enterprise" by building small, autonomous units that prove a new way of working before scaling it out. He also doesn't dodge the hard question: what does real transformation cost? His answer might surprise you. 🎧 Give it a listen at the link in the comments.

Enterprises have a pattern. Take a good idea, wrap it in bureaucracy, and bury it until it stops working. They did it to Agile and DevOps... and they're about to do it to AI. Agile was a really cool idea built to actually help teams ship, then enterprises got involved. They took it and bastardized it with scaled agile or SAFe. They put all this red tape and restriction around the process, and instead of meeting the needs of what was there before, they buried them. The principles agile was built on are still the right ones. Enterprises just buried them. Don't let AI be next.